Data Analysis with Python

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Course Overview:

In this course, I have learned about:

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, and 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, and 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, and 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, and Prediction and Decision Making

Module 5 - Working with Data in Python

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