Data-Analysis-with-Python

SYLLABUS

Module 1 - Introduction

- Introduction to Data Analysis with Python
- The Problem
- Understanding the Data
- Python Packages for Data Science
- Importing and Exporting Data in Python
- Getting Started Analyzing Data in Python

Module 2 - Data Wrangling

- Pre-processing Data in Python
- Dealing with Missing Values in Python
- Data Formatting in Python
- Data Normalization in Python
- Binning in Python
- Turning Categorical Variables Into Quantitative Variables in Python

Module 3 - Exploratory Data Analysis

- Exploratory Data Analysis
- Descriptive Statistics
- GroupBy in Python
- Analysis of Variance ANOVA
- Correlation
- Correlation - Statistics

Module 4 - Model Development

- Model Development
- Linear Regression and Multiple Linear Regression
- Model Evaluation Using Visualization
- Polynomial Regression and Pipelines
- Measures for In-Sample Evaluation
- Prediction and Decision Making

Module 5 - Working with Data in Python

- Model Evaluation and Refinement   
- Overfitting, Underfitting and Model Selection 
- Ridge Regression
- Grid Search