Study Materials:
- Top 10 Reasons to Learn Data Science
Introduction of Data Analyst
Data and Statistics
Measures of Central Tendency and Dispersion
Random Variables and Probability Distribution
Inferential Statistics
Inferential Statistics - Single sample tests
Inferential Statistics-Two sample tests
Type 1 and Type 2 Errors
Confidence Intervals
Inferential Statistics-ANOVA and TOI
Introduction of Regression
Regularization/Coefficients Shrinkage
Data Modelling and Algorithmic Modelling Approaches
Ordinary Least Squares (OLS)
Clustering Analysis
Association Rule Mining
Introduction to Experimentation and Active Learning
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