Topics to be covered: • Descriptive Statistics — Data Summarisation • Measure of central tendency — Mean, Median, Mode • Measure of spread — Range, Standard deviation, variable, Inter-quartile range • Measure of shape — Skewness and Kurtosis • Statistical Inference — drawing inference about population from sample • Parameter Estimation — Point Estimation and Confidence Interval • Hypothesis Testing — One sample Hypothesis testing (z-test, t-test, chi-square test and f-test) • Differential Statistics — 2 sample Hypothesis testing, ANOVA, MANOVA, ANCOVA and MANCOVA • Associative Statistics — Finding relationships between 2 variables. Correlation — Pearson, Spearman and Kendall Relevant Libraries: • Python — scipy.stats, statsmodels • R — stats, corrplot