* **Introduction to NumPy:**
* Python Data Structures
* Python Containers
* Introduction to NumPy Package
* Working with NumPy Arrays
* Indexing and Slicing

* **Introduction to Plotting Tools:**
* Plotting Data with Matplotlib
* Smoothing Data in Matplotlib
* Using Seaborn

* **Introduction to Pandas:**
* Pandas Overview
* Series in Pandas
* DataFrames in Pandas
* Multi Level Indices
* Aggregation
* Working with Large Datasets

* **Introduction to Scipy Stats:**
* Continuous and Discrete Distributions
* Useful Functions for Statistical Experiments

* **Introduction to Scikit:**
* Slight Introduction to Machine Learning
* Preprocessing
* Learning a Model with Scikit
* Testing the Model
* Evaluation Methods
* Useful Functions for Model Selection
* Model Persistence

* **Examples:**
* Word Anagrams with NumPy
* Baby Names with Pandas
* A Statistical Simulation
* Learning and Evaluating Various Models with Scikit