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Statistical Learning
4.49
Beginner level
3.75 learning hrs
Modules updated 07/2025
About this course
In this Introductory course on Statistics and Probability, you will learn the mathematical concepts required for Machine Learning. You will first start with the basics of probability followed by different methods for the use of probability in Machine Learning Study. These will be explained with case studies and examples. You will next learn about the rules of basic probability calculation. This will be followed up with learning Bayes Theorem. To conclude you will understand distributions and explore normal distribution in depth.
Course outline
Case study on statistics and probability theory
Solution for case study
Introduction to probability
This section explains the popular method to solve a problem when there is uncertainty. You will learn the meaning of probability and about its various concepts like empirical probability with solving examples.
Rules for probability calculation
Bayes theorem Normal distribution
Get access to the complete curriculum once you enroll in the course
4.49
Frequently Asked Questions
Will I receive a certificate upon completing this free course?
Is this course free?
Will I get a certificate after completing this Statistical Learning free course?
Yes, you will get a certificate of completion for Statistical Learning after completing all the modules and cracking the assessment. The assessment tests your knowledge of the subject and badges your skills.
How much does this Statistical Learning course cost?
It is an entirely free course from Great Learning Academy. Anyone interested in learning the basics of Statistical Learning can get started with this course.
Is there any limit on how many times I can take this free course?
Once you enroll in the Statistical Learning course, you have lifetime access to it. So, you can log in anytime and learn it for free online.
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