Probability And Statistics For Data Science Training - United Kingdom

Who should attend this Probability and Statistics for Data Science Training Course?

This Probability and Statistics for Data Science Training Course is designed to provide foundational and practical knowledge in Probability and Statistics, which are crucial for Data Science, Machine Learning, and Data Analysis. The following are some professionals who will benefit from attending this course:

• Data Scientists
• Machine Learning Engineers
• Data Analysts
• Business Analysts
• Product Managers
• Quantitaive Analysts
• Statisticians

Prerequisites of the Probability and Statistics for Data Science Training Course 

There are no prerequisites for Probability and Statistics for Data Science Course.

Probability and Statistics for Data Science Training Course Overview

Probability and statistics form the foundational pillars of data science, providing the necessary tools for understanding uncertainty, variability, and making informed decisions based on data. This training course delves into the fundamental concepts of probability and statistics, emphasising their crucial role in the field of data science. Participants will explore how these concepts contribute to the extraction of meaningful insights and patterns from data.

Understanding probability and statistics is essential for professionals in the data science domain. Data scientists, analysts, and decision-makers rely on these principles to draw accurate conclusions and predictions from data. Mastery of probability allows for the quantification of uncertainty, while statistics enables the analysis of data patterns and trends.

This 2-day Probability and Statistics for Data Science Training will empower the delegates with the skills to apply probability and statistics in practical data science scenarios. They will learn key concepts such as probability distributions, hypothesis testing, and regression analysis. The course provides a comprehensive understanding of statistical methods, enabling professionals to make informed decisions and predictions based on data

Course Objectives:

• To represent and analyse uncertain phenomena using a framework
• To quantify the outcome of the experiment as belonging to a specific event
• To assign probabilities to each occurrence of interest and an experiment
• To become accustomed to Markov chains and different statistical types
• To generate samples from the appropriate conditional distribution
• To evaluate the occurrence of a particular event that influences another event

Upon completion of this Data Science Course, the delegates will possess a strong foundation in probability and statistics for data science. They will be equipped with the tools and techniques needed to analyse data effectively, make informed decisions, and contribute meaningfully to data-driven projects within their organisations.

What’s included in this Probability and Statistics for Data Science Training Course?

• World-Class Training Sessions from Experienced Instructors 
• Probability and Statistics for Data Science Certificate 
• Digital Delegate Pack