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1
Agenda
2
Introduction to Statistical Methods for Decision Making
3
Probability and Bayes Theorem
4
Probability Distribution
5
Central Limit Theorem
6
Hypothesis Testing
7
Implementing the concepts with R
Description:
A background in Statistics can prepare you for a wide range of job opportunities ranging from being a pure statistical researcher to a highly sought after data scientist. Keeping the importance of Statistics in mind, we have come up with this Statistics for Machine Learning Full Course. This course will be taught by Great Learning faculty Dr. P. K. Viswanathan, who is ranked among the top 5 analytics professors in India and in Top 3 Most Prominent Analytics & Data Science Academicians in India. He has a rich and varied experience across academia, research, industry, training and consulting.

Statistics for Machine Learning - Full Course

Great Learning
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