Probability Fundamentals: From Basic Concepts to Statistics
This course is part of Learning Python for Data Science.
Course Cost
₹ 12,275
Beginner
Skill Level
7 Weeks
Self-paced Video lessons
This introductory course provides a comprehensive foundation in probability theory, emphasizing mathematical reasoning over formula memorization. Starting with fundamental counting principles, students progressively build understanding through visual lessons and guided practice. The course transitions from basic counting to probability concepts, expected values, conditional probability, and culminates in an exploration of the normal distribution and statistical applications. Designed for beginners and those seeking a refresher before college statistics, it focuses on developing quantitative reasoning skills through practical examples and problem-solving.

4.6
1,05,498 Enrolled

English
What you'll learn
Develop a stronger understanding of basic probability and statistical concepts
Master combinatorial counting techniques and problem-solving strategies
Apply probability principles to solve both basic and advanced problems
Gain practical knowledge of the normal distribution and its statistical uses
Identify and understand common probability fallacies and statistical misinterpretations
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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There are 7 modules in this course
This comprehensive course introduces probability from foundational principles, focusing on developing mathematical thinking rather than memorizing formulas. The curriculum progresses logically from basic counting principles through advanced probability concepts to statistical applications. Students learn through highly visual lessons and guided practice, exploring topics like combinatorial counting, probability distributions, expected value, and the normal distribution. The course emphasizes practical applications and common probability misconceptions, providing a solid foundation for further statistical studies.
Basic Counting
Module 1
Advanced Counting
Module 2
Basic Probability
Module 3
Expected Value
Module 4
Conditional Probability
Module 5
Bernoulli Trials
Module 6
The Normal Distribution
Module 7
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Learning Python for Data Science
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.




