What you'll learn:
* Understand Statistics from basic to advance level
* Learn Descriptive and Inferential Statistics
* How to plot different types of data
* Exploratory data analysis: graphical and numerical approaches (Mean, Mode, Standard Deviation etc)
* Exploring data analysis: Univariate and Bivariate Analysis
* Calculate Covariance and Correlation
* Understand the Central Limit Theorem
* Understand standard deviations
* Probability: Essentials and Conditional Probability
* Distinguish and work with different types of Probability Distributions (advance level distributions covered extensively)
* Calculate the measures of Central Tendency, Asymmetry, and Variability
* Understand what a Sampling and Estimation is
* Statistical Inference: Perform Hypothesis testing and Estimate Confidence Interval (from basics to deep dive)
* Regression Analysis and estimating relationships among variables (including complex level of testing with F-statistics and T-tests)
* Time-Series: Simple/Linear/Moving Average/Exponential, Smoothing techniques, Seasonality, Decomposition methods
* Make data driven decisions using the above (covering examples)

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