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Module 1: Understanding Hadoop
Module 2: Processing Distributed Data
Module 3: Introduction to Data Storage and Processing
Module 4: Defining Hadoop Cluster Requirements
Module 5: Configuring a Cluster
Module 6: Maximising HDFS Robustness
Module 7: Managing Resources and Cluster Health
Module 8: Maintaining a Cluster
Module 9: Extending Hadoop and Implementing Data Ingress
Module 10: Extending Hadoop and Implementing Data Ingress
Module 11: Planning for Backup, Recovery, and Security
Module 12: Introduction to Big Data
Module 13: Storing Big Data
Module 14: Processing Big Data
Module 15: Tools and Techniques to Analyse Big Data
Module 16: Developing a Big Data Strategy
Module 17: Implementing Big Data Solution
(344 remaining)
This Hadoop Big Data Certification Course is suitable for a wide range of individuals who are interested in mastering the concepts and techniques related to Hadoop and Big Data. This course can be beneficial for a wide range of professionals, including:
There are no formal prerequisites for this Hadoop Big Data Course.
Big Data and Analytics Training has emerged as a critical domain. The Hadoop Big Data Certification Training introduces delegates to the world of Big Data and its relevance in modern business and technology landscapes. With data becoming the lifeblood of organisations, understanding and harnessing Big Data and Analytics is paramount.
Proficiency in Big Data and Analytics Courses is essential for professionals across various domains, including IT, Business, and Data Analysis. Mastering Big Data Analytics Courses can open doors to lucrative career opportunities and allow individuals to harness the power of data to make informed decisions.
This intensive 2-day Big Data Analytics Course empowers delegates with the knowledge and practical skills necessary to navigate the complex landscape of Big Data. Through hands-on experience and expert guidance, delegates will gain the competence to process, analyse, and extract valuable insights from vast data sets.
Course Objectives:
After completing the Hadoop Big Data Training Course, delegates will receive a certification in Hadoop Big Data Analytics, validating their expertise and enhancing their career prospects in the competitive world of Big Data and Analytics. This certification is a testament to their proficiency in handling and interpreting Big Data, making them valuable assets for the delegate's future.
Module 1: Fundamentals of Hadoop
Module 2: Hadoop Ecosystem
Module 3: Startup and Admin Commands
Module 4: Commissioning and Decommissioning Nodes
Module 5: Configuring a Cluster
Module 6: Maintaining a Cluster
Module 7: Monitoring and Troubleshooting Clusters
Module 8: Handling Corrupt and Missing Blocks
(344 remaining)
This Hadoop Administration Course is suitable for individuals who aim to develop expertise in managing Hadoop clusters and the associated ecosystem components. This course can be beneficial for a wide range of professionals, including:
There are no formal prerequisites for this Hadoop Administration Training Course. However, a basic understanding of Hadoop and a prior knowledge of large data fields would be beneficial for the delegates.
The Hadoop Administration Training Course stands as a cornerstone for professionals seeking to harness the power of large-scale data management and processing. The organisations rely heavily on Big Data and Analytics, so mastering Hadoop Administration is paramount. This course equips individuals with the knowledge and skills needed to manage and optimise Hadoop clusters efficiently, ensuring the seamless flow of data.
Proficiency in Hadoop Administration is of utmost importance for professionals engaged in the management of Big Data and Analytics. Data Engineers, System Administrators, and IT professionals responsible for maintaining and scaling data infrastructure should aim to master this subject. Hadoop Administration skills enable them to configure, monitor, and troubleshoot Hadoop clusters, ensuring data availability, reliability, and performance.
This 1-day training empowers delegates with practical insights and hands-on experience in Hadoop Administration. Delegates will learn essential concepts, best practices, and tools for efficiently managing Hadoop clusters, from installation and configuration to security and performance optimisation. The course combines theory and practical knowledge, ensuring that delegates are well-prepared to tackle the challenges of the Hadoop Administration.
Course Objectives:
After completing this Big Data Analytics Training, delegates will receive a prestigious certification recognised within the realm of Big Data and Analytics. This certification validates their expertise in Hadoop Administration, making them valuable assets to organisations in need of efficient data management.
Module 1: Introduction to Hadoop Development Framework
Module 2: Real-Time Processing and Batch Processing
Module 3: Data Formats and Data Lifecycle
Module 4: Data Model Creation
Module 5: Database Interface
Module 6: Scaling
Module 7: Security and Privacy
Module 8: Hadoop Clusters
Module 9: Selecting Right Technology
Module 10: Big Data and Hadoop Administration
(344 remaining)
This Big Data Architecture Course is designed for professionals and individuals seeking to enhance their understanding and expertise in the field of Big Data architecture. This course can be beneficial for a wide range of professionals, including:
There are no formal prerequisites for this Big Data Architecture Training Course. However, prior knowledge of Database Management Systems and technologies would be beneficial for delegates.
The Big Data Architecture Training is a critical introduction to the world of Big Data and Analytics. In today's data-driven landscape, understanding the intricacies of these fields is paramount. The Big Data Architecture Training offers a comprehensive dive into the world of Big Data and Analytics, providing participants with the knowledge and practical insights needed to excel in the data-driven world.
Proficiency in this training is crucial for anyone seeking to stay competitive. This course is designed for professionals in various fields, including IT, marketing, finance, and more. It equips them with the skills to harness the power of data and make informed decisions, enhancing their career prospects.
This intensive 1-day Big Data and Analytics Course on Big Data Architecture and Analytics empowers delegates with the knowledge and practical insights needed to excel in the data-driven world. Delegates will gain a strong understanding of data processing, storage, and analysis techniques, enabling them to drive business success through data-driven strategies.
Course Objectives:
After completing this training, delegates will receive a certification attesting to their expertise in Big Data and Analytics. This valuable certification opens doors to a world of career opportunities, allowing professionals to showcase their proficiency in Big Data Analytics Courses and take a leap forward in their career journey.
Module 1: Getting Started with Big Data and Hadoop
Module 2: What Technology do we have for Big Data?
Module 3: Apache Hadoop
Module 4: Hadoop Core Components
Module 5: Processing Distributed Data
Module 6: Jobs Tracker and Task Tracker
Module 7: Anatomy of a Cluster
Module 8: NoSQL
(344 remaining)
The Big Data and Hadoop Solutions Architect Course is designed for individuals who are seeking to enhance their expertise in the field of Big Data and Hadoop, with a focus on Solutions Architecture. This Big Data and Analytics Course can be beneficial for a wide range of professionals. Including:
There are no formal prerequisites for this Big Data and Hadoop Solutions Architect Course. However, some prior knowledge of Hadoop would be beneficial for the delegates.
The Big Data and Hadoop Solutions Architect Course provides essential insights into processing vast datasets. Understanding this training is crucial for professionals aiming to stay ahead in a competitive market where data-driven decisions steer success. This training addresses the heart of modern data challenges, offering a comprehensive understanding of Big Data Analytics Courses.
Proficiency in this course is indispensable for professionals seeking to navigate the complexities of modern data ecosystems. Data scientists, Analysts, and IT Professionals must master this field to leverage the power of data effectively. Learning this training empowers you to harness the full potential of data analytics tools, making you an invaluable asset in any data-driven organisation.
This intensive 1-day training course equips delegates with hands-on experience in Big Data and Analytics. Through practical exercises and real-world scenarios, participants gain proficiency in Big Data and Analytics solutions. By the end of the course, delegates will possess the skills to architect Hadoop solutions, ensuring efficient data processing and analysis.
Course Objectives:
After completing this Big Data and Analytics Course, delegates will receive a prestigious certification. This certification validates your expertise in these courses, making you a recognised authority in the field.
Module 1: Introduction to Data Science
Module 2: Understanding Data Wrangling
Module 3: Data Analysis
Module 4: Data Mining
Module 5: Understanding Data Visualisation
Module 6: Data Manipulation
Module 7: Working with Large Amounts of Data
(344 remaining)
This Data Science Analytics Course is suitable for a wide range of individuals looking to enhance their skills and knowledge in the field of Data Science and Analytics. This Big Data and Analytics Course can be beneficial for a wide range of professionals, including:
There are no formal prerequisites for this Data Science Analytics Course.
Introduction to the Data Science Analytics Course reveals the significance of harnessing the power of Big Data and Analytics. In an era defined by information, businesses and professionals who can derive insights from vast datasets gain a competitive edge, making Big Data Analytics Courses a pivotal field of study.
Proficiency in Big Data Analytics Courses is vital for professionals across various domains, including Business, Finance, Healthcare, and Technology. It empowers them to extract valuable information from vast datasets, enhancing decision-making and driving organisational success. Anyone aspiring to excel in their respective fields should aim to acquire proficiency in this subject.
This intensive 1-day training provides a comprehensive introduction to Big Data and Analytics, equipping delegates with the fundamental skills needed for data analysis. Through practical applications and real-world case studies, participants will gain hands-on experience in data handling, interpretation, and visualisation.
Course Objectives:
After completing this course, delegates will receive a certification in Big Data Analytics Courses, validating their expertise in data science and analytics. This certification serves as a valuable asset, opening doors to new career opportunities and enhancing professional growth.
Module 1: Overview of Data Analysis
Module 2: Business Intelligence and Analytics
Module 3: R Programming Language
Module 4: Importing Data
Module 5: Machine Learning
(344 remaining)
The Data Analytics with R Course is designed for individuals seeking to harness the power of data to make informed decisions. This course offers insights and tools to propel your analytical capabilities. This course can be beneficial for a wide range of professionals, including:
There are no formal prerequisites for this Data Analytics with R Course.
Data Analytics with R Course is a crucial component of Big Data and Analytics Training. In today's data-driven world, the power of R for data analysis is paramount. R, a programming language and environment widely used for statistical analysis and data visualisation, holds the key to uncovering actionable insights from vast datasets. Its relevance is evident in its ability to aid professionals in making informed decisions based on data-driven findings.
Proficiency in R is the ability to harness R's capabilities, enabling them to extract meaningful patterns from complex datasets, aiding in informed decision-making. For instance, data scientists proficient in R can explore trends and uncover hidden insights in various industries, making it a critical skill for career advancement.
The 1-day course offered by the Knowledge Academy is designed to empower delegates with the knowledge and practical skills they need for data analytics with R. Through hands-on experience in data manipulation, statistical analysis, and data visualisation using R, participants will gain a deep understanding of the subject. The course emphasizes real-world applications, ensuring that delegates are well-equipped to tackle data-related challenges effectively.
Course Objectives:
After completing this Big Data and Analytics Course, you will receive a certification, validating your proficiency in R for data analytics. This certification serves as a tangible proof of your skills and enhances your career prospects.
Module 1: Understanding the Fundamentals of Big Data
Module 2: Planning a Big Data Approach to Business
Module 3: Implementing a Big Data Approach to Business
Module 4: Storing Unstructured Information
Module 5: Managing Unstructured Information
(344 remaining)
The Big Data Analysis Course is designed for individuals who want to acquire a comprehensive understanding of handling and interpreting large volumes of data effectively. This Big Data and Analytics Training Course can be beneficial for a wide range of professionals, including:
There are no formal prerequisites for this Big Data Analysis Course.
Big Data and Analytics Training is a field that has become pivotal in today's world. This course has revolutionised decision-making processes across industries, making it an indispensable domain. With data-driven insights at the forefront of modern business strategies, mastering Big Data Analytics Courses has never been more relevant.
Proficiency in Big Data Analysis Courses is crucial for professionals across various sectors, including IT, Finance, Marketing, and Healthcare. Whether you are a Data Scientist, a Business Analyst, or an aspiring Entrepreneur, mastering Big Data and Analytics is essential. The ability to extract valuable insights from vast datasets is a skill that can propel your career to new heights.
This intensive 1-day Big Data and Analytics Training will empower delegates with the knowledge and tools required to harness the power of data. From understanding data sources to performing in-depth analyses, this course will equip delegates with practical skills. With hands-on exercises and real-world case studies, delegates will leave with a comprehensive understanding.
Course Objectives:
After completing this course delegates will receive a Big Data and Analytics Certification, validating their knowledge and opening doors to a wide range of opportunities. This certification will serve as a testament to their proficiency and commitment to mastering the Big Data and Analytics domain.
Module 1: Overview of Data Analysis
Module 2: Introduction to Data Analysis with MS Excel
Module 3: Excel Ribbon and Importing Data into Excel
Module 4: Work with Range Names
Module 5: Introduction to Tables
Module 6: Cleaning Data with Text Functions
Module 7: Working with Date Formats and Time Formats
Module 8: Conditional Formatting in Excel
Module 9: Sorting and Filtering Data Columns
Module 10: Subtotals and Quick Analysis
Module 11: Working with Multiple Sheets
Module 12: Data Validation
Module 13: Data Visualisation
Module 14: Exploring Lookup Functions
Module 15: Pivot Tables
Module 16: What If Analysis
(344 remaining)
This Data Analysis Training using MS Excel is suitable for a diverse range of individuals looking to enhance their analytical skills. This Big Data and Analytics can be beneficial for a wide range of professionals, including:
There are no formal prerequisites for this Data Analysis Training using MS Excel Course. However, basic knowledge of MS Excel would be beneficial for the delegates.
The Data Analysis Training using MS Excel Course provides a crucial stepping stone into the world of data analysis, empowering delegates to unlock valuable insights from datasets. With the prevalence of data-driven decision-making across various industries, this training is more relevant than ever. As organisations harness the power of data to make informed decisions, individuals must equip themselves with the right skills.
Proficiency in data analysis is paramount for professionals from diverse backgrounds. From Business Analysts to marketing managers and financial planners to healthcare administrators, anyone seeking to harness the potential of data can benefit from mastering this subject. Competence in data analysis becomes essential for career advancement and staying competitive in the job market.
This intensive 1-day Big Data and Analytics Training equips delegates with practical skills to manipulate and analyse data effectively using MS Excel. Delegates will gain the ability to clean and preprocess data, create insightful visualisations, and draw meaningful conclusions from their analysis. The course fosters a hands-on approach, ensuring that delegates leave with actionable skills that can be applied immediately in their professional roles.
Course Objectives:
After completing this Big Data and Analytics Course, delegates will receive a certification in Data Analysis Training using MS Excel. This certification not only validates their newly acquired skills but also enhances their professional credibility.
Module 1: Introduction to Data Warehouse
Module 2: Terminologies
Module 3: Dimensions and Facts
Module 4: Modelling
Module 5: Delivery Process
Module 6: System Processes
Module 7: Data Warehouse Architecture
Module 8: Data Warehouse OLAP
Module 9: Relational and Multidimensional OLAP
Module 10: Data Warehouse Schemas
Module 11: Horizontal and Vertical Partitioning
Module 12: Metadata Concepts
Module 13: System and Process Managers
Module 14: Security and Backup
Module 15: Tuning and Testing
(344 remaining)
This Data Warehousing Course is suitable for individuals who wish to enhance their understanding and proficiency in the field of Data Warehousing. This Data Warehousing Training Course can be beneficial for a wide range of professional, including:
There are no formal prerequisites for this Data Warehousing Training Course. However, a basic understanding of basic database concepts would be beneficial for delegates.
Data warehousing is the process of centralising, cleaning, and transforming data from multiple sources into a unified repository for analytical purposes It plays a pivotal role in collecting, storing, and managing vast amounts of data, enabling organisations to make informed decisions. This course provides delegates with a comprehensive understanding of data warehousing, including its significance in data analytics, business intelligence, and decision-making processes.
Proficiency in data warehousing is essential for a wide range of professionals, including data analysts, business intelligence experts, database administrators, and IT managers. Data warehousing proficiency empowers individuals to extract valuable insights from large datasets, enhance strategic planning, and make data-driven decisions.
This intensive 1-day training is designed to equip delegates with the knowledge and practical skills needed to excel in data warehousing. Delegates will learn the fundamentals of data warehousing architecture, ETL (Extract, Transform, Load) processes, data modelling, and data warehouse design. Hands-on exercises and real-world case studies will provide a holistic understanding of data warehousing concepts.
Course Objectives:
After completing the course, delegates will receive a certification in Data Warehousing, validating their expertise in this critical field. This certification is recognised by industry leaders and will enhance career opportunities, enabling individuals to contribute effectively to their organisations.
Module 1: Introduction to Big Data and Hadoop
Module 2: Hadoop Distributed File System (HDFS)
Module 3: Hadoop MapReduce
Module 4: Hive - Data Warehousing and Querying
Module 5: Pig - Data Flow and Scripting
Module 6: Introduction to Impala
Module 7: Impala Querying Basics
Module 8: Advanced Impala Optimisation
Module 9: Data Ingestion and ETL with Hadoop
Module 10: Machine Learning with Hadoop and Impala
Module 11: Data Visualisation and Reporting
Module 12: Hadoop Security and Optimisation
(344 remaining)
The Hadoop Training Course with Impala is a specialised course designed to teach the fundamentals of Hadoop and Impala, two powerful tools in the Big Data ecosystem. The following are some of the professionals who can benefit from this course:
There are no formal prerequisites for this Hadoop Training Course with Impala. However, a basic understanding of data analysis would be beneficial for the delegates.
Mastering Hadoop and Impala has become indispensable for professionals aiming to thrive in data-centric industries. This comprehensive training course delves into the heart of Hadoop and Impala technologies, unravelling their significance in handling vast datasets efficiently. With the explosion of data, businesses seek experts who can harness these tools, making this training more pertinent than ever.
Proficiency in Hadoop and Impala is paramount for data engineers, analysts, and IT professionals striving for excellence in data processing. Organisations depend on these technologies to gain actionable insights. Mastering Hadoop and Impala empowers professionals to navigate complex data landscapes, making them indispensable assets for any data-driven enterprise.
This intensive 2-day training equips delegates with hands-on experience in Hadoop and Impala, enhancing their ability to process, analyse, and interpret vast datasets efficiently. Through interactive sessions and real-world examples, delegates learn to optimise queries, troubleshoot issues, and design robust data processing pipelines, ensuring they are well-prepared for the challenges.
Course Objectives:
After completing this course, delegates receive a certification validating their expertise in Hadoop and Impala technologies. This certification not only demonstrates their proficiency but also opens doors to a plethora of opportunities in data engineering, analytics, and business intelligence.
Module 1: Introduction to Scala
Module 2: Pattern Matching
Module 3: Executing the Scala Code
Module 4: Classes Concepts in Scala
Module 5: Concepts of Traits with Example
Module 6: Scala Java Interoperability and Scala Collection
Module 7: Mutable Collections vs Immutable Collections
Module 8: Introduction to Spark
Module 9: Spark Basics
Module 10: Working with RDDs in Spark
Module 11: Aggregating Data with Pair RDDs
Module 12: Writing and Deploying Spark Applications
Module 13: Parallel Processing
Module 14: Spark RDD Persistence
Module 15: Spark Streaming and Mila
Module 16: Spark Variables and RDD Operations
Module 17: Scheduling or Partitioning
(344 remaining)
The Apache Spark and Scala Training Course is a specialised that helps professionals to gain expertise in the Big Data Analytics and Distributed Computing sector. This course can be beneficial for a wide range of professionals, including:
For attending this Apache Spark and Scala Training Course, a basic knowledge of Java, Database, Query Language, and SQL would be beneficial for delegates.
Apache Spark and Scala have emerged as pivotal tools in the world of Big Data Processing and Analytics. Apache Spark is a robust open-source data processing framework combined with Scala, a high-performance programming language that offers a scalable solution. This course is designed for software developers and IT professionals who can benefit from understanding these technologies to build efficient data processing pipelines.
Proficiency in Apache Spark and Scala is crucial in today's data-driven landscape. It empowers data engineers, data scientists, and analysts to process and analyse large datasets swiftly, enabling data-driven decision-making. For professionals in fields like data science, machine learning, and big data analytics, mastering Spark and Scala is essential.
This intensive 2-day training is designed to provide delegates with a solid foundation in Apache Spark and Scala. Delegates will gain hands-on experience in working with these technologies, learning to develop efficient data processing pipelines, working with distributed datasets, and applying advanced analytics techniques. The course combines theoretical knowledge with practical exercises, ensuring that delegates can immediately apply what they learn in their professional roles.
Course Objectives:
Upon completing this course, delegates will benefit from a solid foundation in Apache Spark and Scala. They will possess the practical skills and knowledge required to handle and analyse big data effectively, enabling them to excel in their data analytics roles. This course is a valuable investment in their professional development and opens doors to various opportunities in the world of big data analytics.
Module 1: Introducing Ambari Administration
Module 2: Managing and Monitoring Your Hadoop Cluster
Module 3: Managing High Availability of Services
Module 4: Using Ambari Core Services
Module 5: Administering Ambari Views
Module 6: Configuring Ambari Views
Module 7: Using an Ambari View
Module 8: Workflow Management
(344 remaining)
The Mastering Apache Ambari Course is designed for professionals who aim to become proficient in managing and monitoring Hadoop clusters using Apache Ambari. This course can be beneficial for a wide range of professionals, including:
There are no formal prerequisites for attending this Mastering Apache Ambari Training Course.However, a basic knowledge of Management Tools Architecture, General Relational Databases, Hadoop, and basic UNIX would be beneficial for delegates.
Apache Ambari is a crucial tool in the field of Big Data management and administration. With the exponential growth of data, organisations are increasingly relying on tools like Ambari to manage, monitor, and maintain their Hadoop clusters efficiently. This course offers an in-depth understanding of Apache Ambari and its relevance in modern data management and analytics.
Proficiency in Apache Ambari is vital for IT professionals, system administrators, and data engineers working with Big Data technologies. It's essential to master Apache Ambari because it simplifies cluster provisioning, monitoring, and management, leading to increased operational efficiency and reduced downtime.
This intensive 2-day training is designed to provide delegates with a comprehensive understanding of Apache Ambari. Delegates will learn how to install, configure, and manage Hadoop clusters effectively using Ambari. Delegates can expect hands-on experience, real-world scenarios, and best practices, ensuring that they are well-prepared to tackle the challenges of managing Big Data infrastructure.
Course Objectives:
After completing the course, delegates will receive a certification in Mastering Apache Ambari. This certification is an asset, recognised in the industry, and can enhance your career prospects. It signifies your proficiency in Apache Ambari, making you a sought-after professional in the field of Big Data management and administration.
Module 1: Splunk Overview
Module 2: Splunk Search Processing Language
Module 3: Macros, Field Extraction, and Field Aliases
Module 4: Tags, Lookups, and Correlating Events
Module 5: Data Models, Pivot, and CIM
Module 6: Knowledge Managers and Dashboards in Splunk
Module 7: Splunk Licenses, Indexes, and Role Management
Module 8: Machine Data Using Splunk Forwarder and Clustering
Module 9: Advanced Data Input in Splunk
Module 10: Splunk’s Advanced .conf File and Diag
Module 11: Infrastructure Planning with Indexer and Search Head Clustering
Module 12: Troubleshooting in Splunk
Module 13: Advanced Deployment
Module 14: Advanced Splunk
(344 remaining)
Splunk is a leading software platform used for searching, monitoring, and analysing machine-generated Big Data. A Splunk Training Course would be beneficial to those seeking to harness this tool's capabilities for data analysis, visualisation, and operations intelligence. This course can be beneficial for a wide range of professionals, including:
There are no formal prerequisites for attending this Splunk Training Course. However, a prior understanding of storing and retrieving data would be highly beneficial.
Splunk is a powerful data analytics and visualisation platform that has emerged as a crucial tool in this regard. This Splunk Certification Training Course offers comprehensive insights into Splunk's capabilities, providing a solid foundation for data professionals. Its relevance lies in enabling organisations to extract actionable insights from data, enhance security, and optimise IT operations.
Proficiency in Splunk is crucial because it equips professionals with the skills needed to manage and analyse data, and to make informed decisions efficiently. IT Administrators, Security Analysts, Data Engineers, and Business Intelligence Experts can benefit significantly from mastering Splunk. For IT professionals, it enhances troubleshooting and performance optimisation, while security experts can fortify their defences.
This intensive 2-day training is designed to provide a fast track to Splunk mastery. Delegates will acquire practical skills in data ingestion, visualisation, and advanced search techniques. They will learn to create dashboards, alerts, and reports, enhancing their ability to turn data into actionable insights. Additionally, participants will delve into Splunk's security and compliance features.
Course Objectives:
After attending this training course, delegates will be able to create data models and recognise the patterns of product sales requests. They will also be able to enhance the GUI and real-time visibility in a dashboard to deliver the most up-to-date data on a wide range of performance metrics.
Domain 1: Data Analytics
Module 1: Introduction to Data Analytics
Module 2: Introduction to Statistical Analysis
Module 3: Data Wrangling with SQL
Module 4: Presto
Module 5: Feature Engineering
Domain 2: Business Analytics with Excel
Module 6: Introduction to Data Analysis with MS Excel
Module 7: Cleaning Data with Text Functions
Module 8: Sorting and Filtering
Module 9: Exploring Lookup Functions
Module 10: Introduction to Power Pivot and Formula Auditing
Module 11: DAX Variables and Formatting
Module 12: Introduction to Power Map
Module 13: Design a Dashboard Using Data Model
Domain 3: Programming Basics and Data Analytics with Python
Module 14: Python for Data Analysis - NumPy
Module 15: Python for Data Analysis – Pandas
Module 16: Python for Data Visualisation – Matplotlib
Module 17: Python for Data Visualisation – Seaborn
Domain 4: Tableau Training
Module 18: Get Started
Module 19: Data Sources
Module 20: Worksheets
Module 21: Calculations
Module 22: Sort and Filters
Module 23: Tableau Charts
(344 remaining)
The Advanced Data Analytics Certification Course is designed for individuals aiming to delve deep into Data Analysis techniques, methodologies, and applications. This course can be beneficial for a wide range of professionals, including:
There are no formal prerequisites for attending this Advanced Data Analytics Certification Course.
The Advanced Data Analytics Certification Course is a vital exploration into the dynamic field of data analysis and interpretation. Data analytics is at the core of decision-making across industries, making this course not just relevant but indispensable. With the ever-increasing volume of data being generated, the ability to extract meaningful insights is crucial for businesses and organisations to thrive in the digital age.
Proficiency in Advanced Data Analytics is imperative for professionals across various domains, including Data Scientists, Business Analysts, Marketers, and IT Professionals. In this era of information overload, those who master data analytics possess a competitive edge, enabling them to make informed decisions, enhance operations, and drive organisational growth.
This intensive 4-day training is designed to equip delegates with the essential skills and knowledge needed to navigate the intricate landscape of Advanced Data Analytics effectively. Through hands-on experience and expert guidance, delegates will gain a deep understanding of data modelling, predictive analytics, and data visualisation techniques.
Course Objectives:
After attending this training certification, delegates will be able to analyse and visualise the information by extracting it from raw data. They will also be able to create capstone projects such as credit card fraud detection using Machine Learning, an e-commerce sales dashboard in Excel, etc., to gain expertise in the Data Analytics field.
Module 1: Introduction to Big Data
Module 2: Overview of Kafka
Module 3: Installing Kafka
Module 4: Kafka Producers
Module 5: Kafka Consumers
Module 6: Kafka Internals
Module 7: Reliable Data Delivery
Module 8: Building Data Pipelines
Module 9: Cross-Cluster Data Mirroring
Module 10: Administering and Monitoring Kafka
Module 11: Stream Processing
(344 remaining)
The Apache Kafka Course is designed for a wide range of professionals seeking to enhance their knowledge and skills in working with Apache Kafka. This course can benefit a wide range of professionals, including:
There are no formal prerequisites for this Apache Kafka Training Course. However, prior knowledge of Java programming would be beneficial for a smoother learning experience.
Apache Kafkais a real-time distributed event streaming platformand is a vital component of modern data architectures. It enables organisations to process, analyse, and transport data in a scalable, fault-tolerant manner. The significance of Kafka's cannot be overstated. It's the backbone of real-time data processing, making it essential for businesses striving to stay competitive in an ever-evolving landscape.
Proficiency in Apache Kafka is paramount in the age of big data and real-time analytics. Data engineers, developers, and data architects aiming to master Kafka unlock the potential to design robust, scalable, and fault-tolerant systems. Embracing this training empowers professionals to navigate the complexities of modern data integration, making them invaluable assets to their organisations.
This intensive 2-day Big Data Analytics Course is designed to provide delegates with hands-on experience in Apache Kafka. Delegates will gain practical skills in setting up Kafka clusters, understanding its architecture, and implementing end-to-end data pipelines. They will learn how to optimise Kafka for their specific use cases and troubleshoot common issues, ensuring their organisations can leverage Kafka's full potential effectively.
Course Objectives:
After completing the Apache Kafka Training Course, delegates receive a prestigious certification. This credential validates their expertise in Kafka's architecture, administration, and application, making them highly sought-after professionals in the competitive tech industry.
Module 1: Introduction to Apache Spark
Module 2: Apache Spark MLlib
Module 3: Apache Spark Streaming
Module 4: Apache Spark SQL
Module 5: Apache Spark GraphX
Module 6: Graph-Based Storage
Module 7: Spark Databricks
Module 8: Databricks Visualisation
(344 remaining)
This Apache Spark Training Course is designed for individuals who want to enhance their skills and knowledge in Big Data processing using Apache Spark. This course can benefit a wide range of professionals, including:
There are no formal prerequisites for this Apache Spark Course. However, prior knowledge of Java programming would be beneficial.
Apache Spark has emerged as a vital tool for processing and analysing large-scale datasets efficiently. With its widespread use in data engineering and data science, understanding Apache Spark is essential. This course offers a comprehensive exploration of Spark, shedding light on its significance in the modern data landscape enabling professionals to harness its potential for diverse applications.
Proficiency in Apache Spark is imperative for professionals across various domains, including data scientists, data engineers, and big data analysts. The ability to work with Spark empowers individuals to handle massive datasets, perform real-time data processing, and derive actionable insights. Mastering Spark is the key to unlocking opportunities and enhancing career prospects in the data and analytics field.
This intensive 2-day Apache Spark Training by The Knowledge Academy equips delegates with the practical skills that are needed to leverage Apache Spark effectively. Delegates will gain hands-on experience in Spark's core components, such as Spark SQL, Spark Streaming, and MLlib. They will also learn to build data pipelines, conduct real-time analysis, and optimise Spark applications for enhanced performance.
Course Objectives:
After completing the course, delegates will receive a certification that attests to their Apache Spark expertise. This certification is a valuable addition to one's professional portfolio, demonstrating their competence in harnessing Apache Spark's power for data processing and analysis.
Module 1: Introduction to SAS
Module 2: Data Manipulation with SAS
Module 3: Data Management in SAS
Module 4: Statistical Analysis with SAS
Module 5: Advanced SAS Programming
Module 6: SAS Graphics and Reporting
Module 7: SAS Procedures and Functions
Module 8: SAS Data Mining and Machine Learning
Module 9: SAS for Big Data Analytics
Module 10: SAS Integration and Automation
Module 11: SAS Deployment and Administration
(344 remaining)
SAS (Statistical Analysis System) Training Course aims to help professionals acquire hands-on experience in using the SAS environment, learn coding in the SAS language, and understand how to analyse and visualise data effectively. This course can be beneficial for a wide range of professionals, including:
There are no prerequisites required for attending the SAS (Statistical Analysis System) Training Course. However, prior experience in data analysis and familiarity with basic statistical concepts would be beneficial.
SAS, the Statistical Analysis System, is a powerful tool in the world of data analytics and statistics. This comprehensive training course introduces participants to the capabilities of SAS and its significance in data-driven decision-making. Whether you're a data scientist, business analyst, or a student aspiring to enter the field, this course equips you with essential skills.
Proficiency in SAS is crucial because it enables professionals to efficiently analyse and interpret data, turning it into actionable insights. Data analysts, statisticians, business analysts, and even healthcare professionals stand to benefit from mastering SAS. This course is ideal for those looking to boost their career prospects and make informed decisions using data.
This intensive 2-day training is designed to fast-track your understanding of SAS. Delegates will learn how to import, clean, and transform data, conduct statistical analyses, and create informative visualisations. Practical hands-on exercises and real-world case studies will empower delegates to apply SAS concepts immediately in their work. By the end of the course, you'll have the skills to efficiently work with data and gain insights that drive decision-making and business success.
Course Objectives:
After attending this training course, delegates will be able to build data-driven decision-making processes utilising SAS tools and capabilities. They will be able to execute data mining on enormous databases and uncover significant patterns and trends. They will also be able to use SAS methodology and approaches to tackle real-world business challenges.
Module 1: Introduction to Apache Storm
Module 2: Apache Storm Core Concepts
Module 3: Storm-Cluster Architecture
Module 4: Apache Storm Workflow
Module 5: Distributed Messaging System
Module 6: Apache Storm – Installation
Module 7: Apache Storm Working Example
Module 8: Apache Storm Trident
Module 9: Apache Storm in Twitter
Module 10: Apache Storm in Yahoo! Finance
Module 11: Apache Storm Applications
(344 remaining)
The Apache Storm Course is designed for individuals who wish to enhance their expertise in real-time data processing and stream processing using the Apache Storm framework. This course can benefit a wide range of professionals, including:
There are no formal prerequisites for this Apache Storm Training Course. However, prior knowledge of Java programming would be beneficial.
In today's data-driven world, Apache Storm stands out as a powerful open-source stream processing framework. This essential tool empowers organisations to efficiently handle massive data streams, providing real-time insights crucial for informed decision-making. In an age where data holds supreme importance, this course is designed to equip individuals with the expertise needed to unlock Apache Storm's potential, positioning them as invaluable assets in industries driven by data.
Proficiency in Apache Storm is indispensable for professionals working in data engineering, data science, and data analytics. It's equally relevant for software developers and architects seeking to build real-time data processing applications as data becomes the lifeblood of businesses. Those who master Storm gain a competitive edge, enabling them to design efficient, real-time data pipelines and derive actionable insights from incoming streams.
This intensive 1-day training empowers delegates with the expertise needed to harness the full potential of Apache Storm. Delegates will gain hands-on experience in setting up Storm clusters, designing topologies, and processing real-time data efficiently. They'll learn best practices and troubleshooting techniques, ensuring they can contribute effectively to real-time data processing projects from day one.
Course Objectives:
Upon completing this Apache Storm Training, delegates will gain a deep understanding of stream processing, enabling them to harness real-time data insights for informed decision-making. This expertise will not only enhance their career prospects but also make them valuable contributors in data-driven industries, providing a competitive edge in a rapidly evolving professional landscape.
Module 1: Big Data Analytics
Module 2: Data Analytics Lifecycle
Module 3: Basic Data Analytic Methods Using R
Module 4: Introduction to Clustering
Module 5: Association Rules
Module 6: Regression
Module 7: Classification
Module 8: Time Series Analysis
Module 9: Text Analysis
Module 10: MapReduce and Hadoop
Module 11: In-Database Analytics
(344 remaining)
The Big Data Analytics & Data Science Integration Course is designed to integrate the principles of Data Science with the tools and technologies needed to deal with Big Data. This course can benefit a wide range of professionals, including:
There are no formal prerequisites for this Big Data Analytics & Data Science Integration Course.
The Big Data Analytics & Data Science Integration Course is designed to explore the synergy between big data analytics and data science methodologies, providing a comprehensive understanding of their integration. Participants will delve into the core concepts, tools, and techniques essential for extracting meaningful insights from vast datasets.
Proficiency in big data analytics and data science is paramount for professionals aiming to drive data-driven decision-making within their organisations. Data scientists, analysts, IT professionals, and business strategists should aspire to master this domain. This course is tailored for individuals seeking to elevate their skills in the realm of data analysis and interpretation.
This intensive 1-day training offers delegates a unique opportunity to bridge the gap between big data analytics and data science. Through hands-on workshops, real-world case studies, and interactive sessions, participants will acquire practical skills in data preprocessing, predictive modelling, and data visualisation. By the end of the training, delegates will be proficient in leveraging cutting-edge tools and frameworks, empowering them to extract actionable insights from complex datasets.
Course Objectives:
Upon completing the Big Data Analytics & Data Science Integration Course, delegates will gain a comprehensive understanding of the synergy between data analytics and data science, allowing them to effectively bridge the gap between these two disciplines. This knowledge will empower them to tackle complex data-related challenges, make data-driven decisions, and excel in their roles in the ever-evolving field of data analysis and science.
Module 1: Introduction to Couchbase Server
Module 2: Installing Couchbase Server
Module 3: Couchbase Administration Console Basics
Module 4: Developing with Couchbase
Module 5: Cluster Monitoring
Module 6: Managing Cluster
(344 remaining)
This Couchbase Training Course is designed for professionals who want to enhance their skills and understanding of Couchbase, a NoSQL database technology. This course can benefit a wide range of professionals, including:
There are no formal prerequisites for this Couchbase Training Course.
Couchbase is a prominent NoSQL database solution that is widely used in contemporary data-driven industries. Couchbase Training is a comprehensive program that empowers individuals with the expertise to leverage Couchbase. This technology is highly pertinent, facilitating real-time data processing, scalability, and flexibility, proving indispensable for developers, administrators, and data experts.
Proficiency in Couchbase is crucial for various professionals, including database administrators, software developers, and data architects. As data volumes continue to surge, mastering Couchbase ensures that these professionals can efficiently manage, develop, and architect solutions that scale seamlessly and deliver exceptional performance.
This 1-day training offers delegates a unique opportunity to delve deep into Couchbase's capabilities. Delegates will gain practical insights into installation, configuration, and performance optimisation. They will learn to design robust data models, ensuring data consistency and reliability. With hands-on exercises, attendees will be able to apply their knowledge immediately, enhancing their problem-solving skills and productivity.
Course Objectives:
Upon completion of the Couchbase Training, delegates will gain a comprehensive understanding of Couchbase's NoSQL database system, enabling them to proficiently manage and leverage this technology in their professional roles. This knowledge will empower them to enhance data storage and retrieval processes, improve application performance, and contribute to the success of data-centric projects.
Module 1: Getting Started with Talend Big Data
Module 2: Building Our First Big Data Job
Module 3: Formatting Data
Module 4: Processing Tweets with Apache Hive
Module 5: Aggregate Data with Apache Pig
Module 6: Back to the SQL Database
Module 7: Big Data Architecture and Integration Patterns
(344 remaining)
This Data Integration and Big Data using Talend Course is designed for individuals who want to enhance their proficiency in managing and integrating data using the Talend platform. This course can benefit a wide range of professionals, including:
There are no formal prerequisites for this Data Integration and Big Data using Talend Course. However, basic knowledge of Data Warehousing and SQL would be beneficial for delegates.
Data Integration and Big Data have become the driving force behind modern businesses, facilitating the seamless management and analysis of massive datasets. In an era where data is the currency of success, understanding how to harness its potential is paramount. This course provides an insightful journey into the world of Data Integration and Big Data using Talend, shedding light on its profound relevance.
Proficiency in Data Integration and Big Data is indispensable for a range of professionals, including data engineers, analysts, business intelligence specialists, and data scientists. Mastery of these subjects empowers individuals to efficiently process, combine, and analyse diverse data sources, enabling data-driven decision-making.
This intensive 2-day training is designed to equip delegates with a comprehensive understanding of Data Integration and Big Data using Talend. Through hands-on exercises and expert guidance, participants will gain practical skills to manage, transform, and extract insights from big data sources efficiently. By the end of the course, delegates will be well-prepared to tackle real-world data integration challenges and harness the power of Big Data in their professional endeavours.
Course Objectives:
After successfully completing the Data Integration and Big Data using Talend course, delegates will acquire a robust skill set in working with Big Data and enhancing their professional credibility. This knowledge opens doors to exciting career opportunities in data-centric roles and provides a competitive edge, ensuring they stand out in the field.
Module 1: Introduction to ELK Stack
Module 2: Installing ELK
Module 3: Elasticsearch
Module 4: Logstash
Module 5: Kibana
Module 6: Beats
Module 7: ELK in Production
(344 remaining)
The ELK Stack Course is designed for individuals who aim to enhance their proficiency in working with the ELK Stack, which consists of Elasticsearch, Logstash, and Kibana. This course can benefit a wide range of professionals, including:
There are no formal prerequisites for this ELK Stack Course. However, basic knowledge of JSON Data Format, SQL and Restful API would be beneficial for delegates.
The ELK Stack Training Course is designed to provide a comprehensive understanding of Elastic Stack, a powerful set of tools for data collection, search, and visualisation. Businesses and organisations rely on ELK Stack to efficiently manage and analyse vast amounts of data. Understanding this technology is of paramount importance as it forms the backbone of modern data analytics and operational monitoring.
Proficiency in ELK Stack is crucial for IT professionals, Data Analysts, System Administrators, and DevOps Engineers who seek to harness the power of log analysis, real-time monitoring, and data visualisation. With its applications in troubleshooting, security monitoring, and performance optimisation, mastering ELK Stack is a career-enhancing move for those seeking to stay competitive in the IT landscape.
This intensive 1-day training equips delegates with the skills to deploy, configure, and maintain ELK Stack. Delegates will gain hands-on experience in setting up data pipelines, creating visualisations, and utilising Elasticsearch, Logstash, and Kibana effectively. By the end of the training, delegates will be well-prepared to tackle real-world data challenges, enhancing their problem-solving abilities and job prospects.
Course Objectives:
Upon successfully finishing the ELK Stack Training Course, delegates will have acquired the skills necessary for proficiently deploying and managing ELK Stack. This knowledge will enable them to effectively utilise ELK Stack for data analytics, system monitoring, and security operations, making them valuable assets in their professional endeavors.
Module 1: Introduction to HBase
Module 2: Shell and General Commands
Module 3: HBase Table
Module 4: Client API and Data
Module 5: HBase Scan
Module 6: Security
(344 remaining)
The HBase Course is designed to impart skills and knowledge to understand and use HBase, a NoSQL Database, to handle vast amounts of data. This course can be beneficial for a wide range of professionals, including:
There are no formal prerequisites for this HBase Course. However, a basic understanding of Hadoop Architecture and APIs would be beneficial for delegates.
HBase is a NoSQL database, and Impala, an analytic query engine, are crucial components of the Hadoop ecosystem. They enable efficient storage and real-time data processing, making them indispensable for data professionals and organisations. This course is designed to provide a comprehensive understanding of these technologies and their integration, allowing learners to harness their power for data management and analysis.
Proficiency in HBase and Impala is essential for individuals working in the fields of data engineering, data analysis, and data science. Professionals who aim to excel in data storage, retrieval, and analysis need to master HBase and Impala to unlock their full potential. This course empowers database administrators, data engineers, and data analysts to enhance their skills and meet the growing demands of the data industry.
This intensive 1-day training course is designed to provide delegates with hands-on experience in deploying and managing HBase and Impala. Delegates will gain practical knowledge in setting up HBase clusters, importing data, and optimising performance. They will learn how to use Impala for real-time query processing, thus improving their data analysis capabilities.
Course Objectives:
After completing the HBase Training Course with Impala, delegates will receive a certification that validates their expertise in HBase and Impala. This certification is a valuable asset, showcasing your ability to handle big data solutions and make informed data-driven decisions.
Module 1: Introduction to Informatica
Module 2: Informatica Architecture
Module 3: Installing Informatica PowerCenter
Module 4: Configuring Clients and Repositories
Module 5: Source Analyser and Target Designer
Module 6: Mappings
Module 7: Workflow and Workflow Monitor
Module 8: Debug Mappings
Module 9: Transformations
(344 remaining)
The Informatica PowerCenter Training Course is designed to impart essential skills to work with Informatica PowerCenter, a leading Data Integration tool. The course covers a range of topics helping learners to Extract, Transform, and Load (ETL) data from different sources to a Data Warehouse. This course can be beneficial for a wide range of professionals, including:
There are no formal prerequisites for this Informatica PowerCenter Course. However, a basic knowledge of SQL would be beneficial for delegates.
The Informatica PowerCenter Training Course is a comprehensive designed to equip individuals with the essential skills required to harness the power of Informatica PowerCenter. Informatica PowerCenter is the cornerstone of ETL (Extract, Transform, Load) processes, making it highly relevant for anyone involved in data management, analytics, or business intelligence.
Proficiency in this course is crucial for data professionals, ETL developers, data architects, and business intelligence specialists. It empowers professionals to extract, transform, and load data from various sources efficiently, ensuring data accuracy, consistency, and reliability. Organisations highly value individuals who can navigate and optimise the PowerCenter, which is central to maintaining integrity and usability.
This intensive 2-day training will empower delegates with hands-on experience using Informatica PowerCenter. Delegates will learn to create, schedule, and monitor data workflows, enhancing their integration and transformation capabilities. They'll gain insights into best practices, optimising performance, and troubleshooting issues, making them more efficient and effective in their roles.
Course Objectives:
After completing the Informatica PowerCenter Training Course, delegates will receive a certification that validates their expertise in using Informatica PowerCenter for data integration and transformation. This certification is a valuable asset, demonstrating their proficiency to employers and colleagues and opening doors to exciting career opportunities.
Module 1: Set Up a Spark Virtual Environment
Module 2: Building Batch and Streaming Apps with Spark
Module 3: Juggling Data with Spark
Module 4: Data Using Spark
Module 5: Streaming Live Data with Spark
Module 6: Visualising Insights and Trends
(344 remaining)
The Spark Training for Python Developers Course is a specialised course aimed at Python Developers keen to enhance their skills in Big Data processing using Apache Spark. This course can be beneficial a wide range of professionals, including:
There are no formal prerequisites for this Spark Training for Python Developers Course. However, a basic understanding of SQL and Python programming would be beneficial for delegates.
The Spark Training for Python Developers Course provides a comprehensive understanding of Spark and its integration with Python, emphasising its relevance in harnessing big data, conducting efficient data processing, and unlocking powerful analytics and machine learning capabilities. As organisations continue to rely on data-driven decisions, proficiency in Spark for Python developers is a must-have skill.
Proficiency in Apache Spark is crucial for Data Engineers, Data Scientists, and Software Developers who aspire to work with big data, streamline data processing pipelines, and build scalable machine learning models. With the exponential growth of data, the ability to harness Spark's processing power and flexibility becomes paramount for professionals looking to enhance their career prospects in the data industry.
This intensive 2-day training equips delegates with the knowledge and practical skills needed to leverage Apache Spark effectively with Python. Delegates will gain hands-on experience in data manipulation, distributed computing, and creating data pipelines, ensuring they are well-prepared to tackle real-world big data challenges. By the end of the course, delegates will be able to develop Spark applications in Python, optimise data processing tasks, and execute advanced analytics with confidence.
Course Objectives:
After completing the course, delegates will receive a certification that validates their skills and knowledge. This certification is a valuable asset for your career, demonstrating your expertise in big data processing and analytics and opening doors to exciting opportunities in the data industry.
Speak to a training expert for advice if you are unsure of what course is right for you. Give us a call on 01344203999 or Enquire.
Our training experts have compiled a range of course packages to compliment a variety of categories in order to help fast track your career. The packages consist of the best possible qualifications in each industry and allows you to purchase multiple courses at a discounted rate.
Total without package: £5285
Package price: £3195 (Save £2090)
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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"
Joshua Davies, Thames Water