Curriculum
4 Sections
17 Lessons
20 Weeks
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Introduction to Statistics
2
1.1
Why Statistics in Data Analytics?
1.2
Types of Data (Qualitative vs Quantitative)
Descriptive Statistics
4
2.1
Measures of Central Tendency (Mean, Median, Mode)
2.2
Measures of Dispersion (Range, Variance, Standard Deviation, IQR)
2.3
Coefficient of Variation
2.4
Skewness & Kurtosis
Exploratory Data Analysis
6
3.1
Univariate Analysis
3.2
Correlation (Pearson, Spearman)
3.3
Bivariate Analysis
3.4
Covariance
3.5
Outlier Detection (Z-score, IQR method)
3.6
Missing Value Analysis
Correlation and Regression
5
4.1
Simple Linear Regression
4.2
Multiple Linear Regression
4.3
Assumptions of Regression
4.4
R-squared & Adjusted R-squared
4.5
Multicollinearity (VIF)
Statistics
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