Probability and Statistics for Data Science Training Overview

Course syllabus

Who it’s for

What’s included

FAQs

Probability and Statistics for Data Science​ Training Course Outline

Day 1: Probability and Random Variables 
Module 1: Basic Probability Theory 

  • Probability Spaces
  • Conditional Probability 
  • Independence 

Module 2: Random Variables 

  • Random Variables Intro 
  • Discrete Random Variables 
  • Continuous Random Variables 
  • Conditioning on Events 
  • Functions of Random Variables 
  • Generating Random Variables 

Module 3: Multivariate Random Variables 

  • Introduction 
  • Discrete & Continuous Multivariate Variables 
  • Joint Distributions 
  • Independence 
  • Functions of Several Variables 
  • Generating Multivariate Variables & Rejection Sampling 

Module 4: Expectation 

  • Expectation Operator, Mean and Variance 
  • Covariance, Conditional Expectation 

Module 5: Random Processes 

  • Intro, Mean, and Autocovariance Functions 
  • IID
  • Gaussian Process
  • Poisson Process
  • Random Walk 


Day 2: Statistics and Applications (8 hours total)
Module 6: Convergence of Random Processes 

  • Types of Convergence 
  • Law of Large Numbers 
  • Central Limit Theorem
  • Monte Carlo Simulation 

Module 7: Markov Chains 

  • Markov Property and Basic Concepts 
  • Recurrence
  • Periodicity
  • Convergence 
  • Introduction to Markov-Chain Monte Carlo (MCMC) 

Module 8: Descriptive Statistics 

  • What are Descriptive Statistics? 
  • Examples and Types of Descriptive Statistics 

Module 9: Frequentist Statistics 

  • Mean Square Error
  • Consistency 
  • Confidence Intervals 
  • Parametric vs Nonparametric Model Estimation 
  • Maximum Likelihood Estimation (MLE) 

Module 10: Bayesian Statistics 

  • Bayesian Parametric Models 
  • Conjugate Priors 
  • Bayesian Estimators 

Module 11: Hypothesis Testing 

  • Hypothesis-Testing Framework 
  • Parametric Testing 
  • Nonparametric Testing: The Permutation Test 
  • Multiple Testing Correction 

Module 12: Linear Regression 

  • Introduction to Linear Regression 
  • Linear Models & Applications 
  • Least-Squares Estimation 
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Who should attend this Probability and Statistics for Data Science Training?

This Probability and Statistics for Data Science 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
  • Quantitative Analysts
  • Statisticians

Prerequisites of the Probability and Statistics for Data Science Training

There are no formal prerequisites for this 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. Delegates 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 training offered by The Knowledge Academy 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 Training, 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.

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

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

You’ll also get access to the MyTKA Training Portal, which will be your go to hub for all your training.
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Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Probability and Statistics for Data Science Training Course. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

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Live classes

Join a scheduled class with a live instructor and other delegates.

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Interactive

Engage in activities, and communicate with your trainer and peers.

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Global Pool of the Best Trainers

We handpick from a global pool of expert trainers for our Online Instructor-led courses.

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Expertise

With 10+ years of quality, instructor-led training, we equip professionals with lasting skills for success.

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Global Reach

With classes running in all timezones, access any of our courses and course material from anywhere, anytime.

Master Probability and Statistics for Data Science Training with a flexible yet structured approach that combines live, expert-led sessions and self-paced study. With weekly one-to-one tutor support and consistently high pass rates, you’ll receive tailored guidance and achieve real results.

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Structured Yet Flexible Learning

Take part in scheduled, instructor-led sessions with real-time feedback, while enjoying the freedom to study independently. Interactive resources and progress tracking tools help you stay motivated and on target.

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Engaging & Interactive Training

Join dynamic live sessions featuring discussions, practical activities, and peer collaboration. Learn from Probability and Statistics for Data Science Training industry experts and reinforce your knowledge with self-paced modules—plus, connect with professionals in your field.

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Expert-Led Course

Gain valuable insight from experienced trainers during live sessions, and revisit course materials anytime to deepen your understanding. This method offers the ideal balance between expert guidance and independent learning.

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Global Training Accessibility

Access top-quality training across time zones—anytime, anywhere. Whether at home or on the go, our expert-led sessions and flexible study materials support your goals, and help you on the journey towards the certification.

Experience the most sought-after learning style with The Knowledge Academy's Probability and Statistics for Data Science Training Course. Available in 490+ locations across 190+ countries, our hand-picked Classroom venues offer an invaluable human touch. Immerse yourself in a comprehensive, interactive experience with our expert-led CIPD Level 3 Foundation Certificate in People Practice Course sessions.

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Highly experienced trainers

Boost your skills with our expert trainers, boasting 10+ years of real-world experience, ensuring an engaging and informative training experience

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State of the art training venues

We only use the highest standard of learning facilities to make sure your experience is as comfortable and distraction-free as possible

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Small class sizes

Our Classroom courses with limited class sizes foster discussions and provide a personalised, interactive learning environment

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Great value for money

Achieve certification without breaking the bank. Find a lower price elsewhere? We'll match it to guarantee you the best value

Streamline large-scale training requirements with The Knowledge Academy’s In-house/Onsite Probability and Statistics for Data Science Training Course at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

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Tailored learning experience

Leverage benefits offered from a certification that fits your unique business or project needs

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Maximise your training budget

Cut unnecessary costs and focus your entire budget on what really matters, the training.

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Team building opportunity

Our Probability and Statistics for Data Science Training Course offers a unique chance for your team to bond and engage in discussions, enriching the learning experience beyond traditional classroom settings

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Monitor employees progress

The course know-how will help you track and evaluate your employees' progression and performance with relative ease

Package deals for Probability and Statistics for Data Science Training

Our training experts have compiled a range of course packages on a variety of categories in Probability and Statistics for Data Science Training, to boost your career. The packages consist of the best possible qualifications with Probability and Statistics for Data Science Training, and allows you to purchase multiple courses at a discounted rate.

Probability and Statistics for Data Science Training FAQs

What is the use of Probability and Statistics in Data Science?

Probability and statistics help data scientists model uncertainty, analyse patterns, draw conclusions, and make informed decisions. They underpin predictive analytics, machine learning algorithms, data interpretation, and experimentation across various real-world business, scientific, and technological applications.

What are the pre-requisites of taking up Probability and Statistics for Data Science Course?

There are no formal prerequisites for this course.

Who should attend this course?

This course suits Data Analysts, Aspiring Data Scientists, Business Analysts, Researchers, Students, and Professionals interested in data-driven decision-making, machine learning, or statistical modelling. It’s ideal for building or reinforcing analytical and quantitative reasoning skills.

What is the Markov Chain?

A Markov Chain is a stochastic model describing a sequence of possible events where the probability of each event depends only on the state attained in the previous event, commonly used in predictive modelling and decision analysis.

What is a random variable?

A random variable represents a numerical outcome of a random phenomenon. It can be discrete or continuous and is used to quantify and analyse data distributions, probabilities, and expectations in statistical models.

What is the duration of this course?

This course takes 2-Day to complete during which delegates participate in intensive learning sessions that cover various course topics.

What is hypothesis testing?

Hypothesis testing is a statistical method used to determine whether there is enough evidence to support a specific claim about a population parameter, based on sample data, using tests like t-tests or chi-square.

What will I learn in this Probability and Statistics for Data Science Training Course?

You will learn probability theory, statistical distributions, sampling, hypothesis testing, regression, Markov Chains, random variables, and data interpretation techniques essential for data science, machine learning, and evidence-based business decision-making.

What is the demand for Probabaility and Statistics for Data Science Courses in the future?

Demand will remain high, as data-driven decision-making grows across industries. Core statistical knowledge is foundational for roles in AI, machine learning, and business analytics, making this training increasingly relevant and valuable.

How popular is the Probability and Statistics for Data Science Certification in the United Kingdom?

The certification is gaining popularity in the United Kingdom due to rising demand for data professionals. Employers across sectors value candidates with strong statistical foundations for roles involving data analytics and predictive modelling.

What job opportunities will one get on completing Probability and Statistics for Data Science Training?

Roles include Data Analyst, Statistician, Business Analyst, Data Scientist, Machine Learning Engineer, and Research Analyst. This training strengthens analytical credentials and improves employability in industries driven by data and evidence-based decision-making.

What topics are covered in the course?

The course covers probability theory, random variables, expectation, random processes, convergence, Markov chains, descriptive statistics, frequentist and Bayesian methods, hypothesis testing, Monte Carlo simulations, and linear regression, providing a comprehensive foundation in statistical methods for Data Science applications.

What is the cost/training fees for Probability and Statistics for Data Science Training in the United Kingdom?

The training fees for Probability and Statistics for Data Science Trainingin the United Kingdom starts from £2495

Which is the best training institute/provider of Probability and Statistics for Data Science Training in the United Kingdom?

The Knowledge Academy is the Leading global training provider for Probability and Statistics for Data Science Training.

What are the best Data Science Courses courses in the United Kingdom?

Please see our Data Science Courses courses available in the United Kingdom

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