IBM: Analyzing Data with Python

• Import data sets, clean and prepare data for analysis, summarize data, and build data pipelines
• Use Pandas, DataFrames, Numpy multidimensional arrays, and SciPy libraries to work with various datasets
• Load, manipulate, analyze, and visualize dataset
• Build machine-learning models and make predictions with scikit-learn

Module 1 – Importing Data Sets

• The Problem
• Understanding the Data
• Python Packages for Data Science
• Importing and Exporting Data in Python
• Getting Started Analyzing Data in Python
• Accessing Databases with Python
• Module Summary
• Practice Quiz: Importing Data sets
• Hands-on Lab: Importing Data sets
• Graded Quiz: Importing Data sets

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
• Hands-on Lab: Data Wrangling - Used Cars Pricing
• Hands-on Lab: Data Wrangling - Laptop Pricing
• Module Summary
• Practice Quiz: Data Wrangling
• Graded Quiz: Data Wrangling

Module 3 - Exploratory Data Analysis

• Exploratory Data Analysis
• Descriptive Statistics
• GroupBy in Python
• Correlation
• Correlation - Statistics
• Hands-on Lab: Exploratory Data Analysis - Laptop Pricing
• Hands-on Lab: Exploratory Data Analysis - Used Car Pricing
• Module Summary
• Practice Quiz: Exploratory Data Analysis
• Graded Quiz: Exploratory Data Analysis

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
• Practice Quiz: Model Development
• Hands-on Lab: Model Development - Used Car Pricing
• Hands-on Lab: Model Development - Laptop Pricing
• Module Summary
• Graded Quiz: Model Development

Module 5 - Model Evaluation

• Model Evaluation and Refinement
• Overfitting, Underfitting, and Model Selection
• Ridge Regression Introduction
• Ridge Regression
• Grid Search
• Practice Quiz: Model Evaluation and Refinement
• Hands-on Lab: Model Evaluation and Refinement - Used Cars Pricing
• Hands-on Lab: Model Evaluation and Refinement - Laptop Pricing
• Module Summary
• Graded Quiz: Model Evaluation and Refinement

Module 6 - Final Assignment

• Project Scenario
• Hands-on Lab for Final Project - Data Analytics for House Pricing Data Set
• Peer Review
• Cheat Sheet: Data Analysis for Python
• Final Exam Instructions
• Final Exam
• Course Rating and Feedback
• Course Rating
• Badge
• Claim your badge here
• Acknowledgments
• Congrats and Next Steps
• Thanks from the Course Team