Introduction to Data Analytics About data and variable's Descriptive statistics : Graphical Approaches For Quantitative Variables Box Plot Histogram Histogram In Python For Qualitative Categrical Variables Bar Graphs Bar Graphs Using Python Pie Charts Pie Charts Using Python For Multiple Variables Multiple Box Plots Scatter Plots Scatter Plots In Python Contigency Tables Descriptive statistics : Summary statistics Measures of central tendency Central Tendency In Python Measures of dispersion Probability Distributions and Random Variables Probability Distributions and Random Variables Intro Uniform Distribution Binomial Distribution Poisson Distribution Geometric Distribution Exponential Distribution Normal Distribution Central Limit Theorem Sampling Distribution Inferential Statistics The overarching principle Single Sample Tests Z-Test T-Test Chi-Square Test Proportion Z-Test Two Sample Tests Confidence Intervals ANOVA and TOI Machine Learning Data preprocessing in python Using PyCharm For Python Supervised Learning Classification Regression Unsupervised Learning Association Rule Mining Why Machine Learning? Ordinary Least Squares Regression Regularization Techniques and Coefficients Shrinkage Data and Algorithmic Modelling Supervised Learning(Regression and Classification Techniques) Logistic Regression Artificial Neural Networks