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Probability and Statistics: To p or not to p?
Discover powerful statistical methods and probability concepts to analyze data and make confident decisions in complex, uncertain environments.
Course Cost
₹ 2,699
Beginner
Skill Level
14 Hours
Self-paced lessons
This course equips learners with essential tools to navigate uncertainty and make better decisions. Covering key topics in probability and statistics, the course progresses from basic concepts to advanced applications. Students will learn about probability principles, descriptive statistics, sampling methods, hypothesis testing, and practical applications like decision tree analysis and Monte Carlo simulation. Through a mix of theoretical understanding and practical examples, learners will develop skills to quantify uncertainty, interpret data, and apply statistical reasoning to real-world problems. Ideal for beginners, this course provides a solid foundation in statistical thinking and decision-making under uncertainty.
83,578 Enrolled
English
What you'll learn
Understand and apply basic probability concepts
Use descriptive statistics to summarize and visualize data
Perform sampling and construct confidence intervals
Conduct hypothesis tests and interpret p-values
Apply statistical concepts to real-world decision-making scenarios
Understand advanced topics like linear regression and Monte Carlo simulation
Skills you'll gain
This course includes:
443 Minutes PreRecorded video
6 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 6 modules in this course
This course provides a comprehensive introduction to probability and statistics, focusing on their practical applications in decision-making under uncertainty. The curriculum is structured into six modules, covering a wide range of topics from basic probability concepts to advanced statistical techniques. Students will learn about quantifying uncertainty with probability, descriptive statistics, sampling methods, confidence intervals, and hypothesis testing. The course also explores practical applications such as decision tree analysis, risk assessment, linear regression, and Monte Carlo simulation. Through a combination of video lectures, readings, quizzes, and peer-reviewed assignments, learners will develop a solid understanding of statistical concepts and their real-world applications. By the end of the course, students will be equipped with essential tools to analyze data, interpret statistical results, and make informed decisions in various professional and personal contexts.
Dealing with Uncertainty and Complexity in a Chaotic World
Module 1 · 2 Hours to complete
Quantifying Uncertainty With Probability
Module 2 · 2 Hours to complete
Describing The World The Statistical Way
Module 3 · 3 Hours to complete
On Your Marks, Get Set, Infer!
Module 4 · 2 Hours to complete
To p Or Not To p?
Module 5 · 3 Hours to complete
Applications
Module 6 · 2 Hours to complete
Fee Structure
Payment options
Financial Aid
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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.
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Students
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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.