Analyzing Data with Python

Programme Structure

Courses include:

Module 1 - Importing Datasets

• Learning Objectives

• Understanding the Domain

• Understanding the Dataset

• Python package for data science

• Importing and Exporting Data in Python

• Basic Insights from Datasets

Module 2 - Cleaning and Preparing the Data

• Identify and Handle Missing Values

• Data Formatting

• Data Normalization Sets

• Binning

• Indicator variables

Module 3 - Summarizing the Data Frame

• Descriptive Statistics

• Basic of Grouping

• ANOVA

• Correlation

• More on Correlation

Module 4 - Model Development

• Simple and Multiple Linear Regression

• Model Evaluation Using Visualization

• Polynomial Regression and Pipelines

• R-squared and MSE for In-Sample Evaluation

• Prediction and Decision Making

Module 5 - Model Evaluation

• Model  Evaluation

• Over-fitting, Under-fitting and Model Selection

• Ridge Regression

• Grid Search

• Model Refinement