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Probability

Learn probability fundamentals to think like a data scientist and unlock analytical insights

4.9

808 reviews on
32293 students already have enrolled
  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners

Skill level:

Basic

Duration:

5 hours
  • Lessons (4 hours)
  • Practice exams (40 minutes)

CPE credits:

9
CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of professionals must earn to maintain their licenses and stay current with regulations and best practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's official website: www.nasbaregistry.org

Accredited:

certificate

What You Learn

  • Acquire foundational knowledge in probability theory.
  • Explore practical applications of probability theory.
  • Determine the type of distribution a dataset follows.
  • Learn to describe events and analyze their interactions.
  • Use and interpret Bayesian notation.

Topics & tools

probabilitycombinatoricsbayesian inferencebayes theoremprobability distributionsmath & statisticsexcel

Your instructor

Course OVERVIEW

Description

CPE Credits: 9 Field of Study: Specialized Knowledge
Delivery Method: QAS Self Study
Data science is based on statistics which, in turn, steps on the foundations that probability laid out. Learning probability is arguably one of the most crucial skills for success in the business world. The reason is that developing probabilistic thinking and being able to assess risks and possible outcomes are key skills business executives need to navigate an uncertain environment. So, congratulations, you have come to the right place. If you take this probability course, you will acquire a probabilistic mindset - a critical skill when making strategic decisions and solving complex problems. Our probability class will teach you how to analyze data effectively and make predictions with confidence. You'll learn to apply probability models to real-world situations, enabling you to interpret and manage the uncertainties that define today's business landscape. Probability is not difficult. Once you are inside our probability course, you will see that for yourself. We will not ask you to read hundreds of pages of dry theory or provide a random collection of PowerPoint slides. Instead, the videos we’ve created are engaging, practical, concise, and most importantly fun to watch. We leverage storytelling and real-world examples to ensure you will watch until the end of the course. The interactive exercises in our probability training will ensure that you have a chance to practice what has been explained in the lessons hands-on. This course is the best way to learn probability and ensure you will get the desired results. This probability course is suitable for university students who need probability for their studies. It is also highly recommended for graduates and young professionals who want to improve their decision-making and quantitative skills. Even if you haven’t learned any probability before, don’t worry. This intro to probability course is designed to guide you from the ground up. Join us on a journey that will introduce you to combinatorics, Bayesian inference, and the different types of distributions. Gain the quant skills to use inferential statistics and work with the normal distribution. By completing the course, you will be able to use the Bayes theorem and calculate probabilities with confidence. How is this probability for data science course different than the rest? 1. Content quality The course instructor and our team have spent months of research and prep work to create an optimal curriculum that ensure everything you see in the probability course is necessary and useful. Our step-by-step approach ensures you will be able to understand and apply probability concepts confidently. Through a blend of theoretical knowledge and practical exercises, you will develop a sold understanding of probability. 2. Downloadable materials Gain access to valuable downloadable resources you can always use as a reference. The course comes with a full set of materials – complete probability course notes, flashcards with key terms, practice exercises, course exams – everything is included inside. 3. Certificate of achievement If you compete the Probability course and pass successfully its course exam, you will be awarded a verifiable certificate of achievement, which is a testament to your dedication and hard work. Click the ‘Buy now’ button and start this amazing learning journey today! Make an investment to acquire probability and decision-making skills that could change your entire career.

Prerequisites

  • No prior experience or knowledge is required. We will start from the basics and gradually build your understanding. Everything you need is included in the course.

Advanced preparation

  • None

Curriculum

47 lessons 97 exercises 4 exams

Free preview

Course Introduction

1.1 Course Introduction

3 min

What is the Probability Formula

1.2 What is the Probability Formula

7 min

Expected Values

1.4 Expected Values

5 min

Probability Frequency Distribution

1.6 Probability Frequency Distribution

5 min

Complements

1.8 Complements

5 min

Fundamentals of Combinatorics

2.1 Fundamentals of Combinatorics

1 min

Start for free

9 in 10

of our graduates landed a new AI & data job

after enrollment

$29,000

average salary increase

after moving to an AI and data science career

9 in 10

people walk away career-ready

with practical data and AI skills.

ACCREDITED certificates

Craft a resume and LinkedIn profile you’re proud of—featuring certificates recognized by leading global institutions.

Earn CPE-accredited credentials that showcase your dedication, growth, and essential skills—the qualities employers value most.

  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners
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How it WORKS

  • Lessons
  • Exercises
  • Projects
  • Practice Exams
  • AI Mock Interviews

Lessons

Learn through short, simple lessons—no prior experience in AI or data science needed.

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Exercises

Reinforce your learning with mini recaps, hands-on coding, flashcards, fill-in-the-blank activities, and other engaging exercises.

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Projects

Tackle real-world AI and data science projects—just like those faced by industry professionals every day.

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Practice Exams

Track your progress and solidify your knowledge with regular practice exams.

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AI Mock Interviews

Prep for interviews with real-world tasks, popular questions, and real-time feedback.

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Student REVIEWS

A collage of student testimonials from 365 Data Science learners, featuring profile photos, names, job titles, and quotes or video play icons, showcasing diverse backgrounds and successful career transitions into AI and data science roles.