Data Analysis with Python by Coursera
This course is part of multiple programs
Course Highlights
- Develop Python code for cleaning and preparing data for analysis - including handling missing values, formatting, normalizing, and binning data.
- Perform exploratory data analysis and apply analytical techniques to real-word datasets using libraries such as Pandas, Numpy and Scipy.
- Manipulate data using dataframes, summarize data, understand data distribution, perform correlation and create data pipelines.
- Build and evaluate regression models using machine learning scikit-learn library and use them for prediction and decision making.
Skills you will learn!
Curriculum
13 Topics
Course Introduction
Understanding the Data
Python Packages for Data Science
Importing and Exporting Data in Python
Getting Started Analyzing Data in Python
Accessing Databases with Python
Lesson Summary
Practice Quiz: Importing Data Sets
Graded Quiz: Importing Data Sets
Lab: Importing Data Sets - Used Cars Pricing
Lab: Importing Datasets - Laptop Pricing
Overview: Laptop Pricing Data Set
Module 1 Cheat Sheet: Importing Data Sets
12 Topics
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
Lesson Summary
Practice Quiz: Data Wrangling
Graded Quiz: Data Wrangling
Lab: Data Wrangling - Used Cars Pricing
Lab: Data Wrangling - Laptop Pricing
Module 2 Cheat Sheet: Data Wrangling
13 Topics
Exploratory Data Analysis
Descriptive Statistics
GroupBy in Python
Correlation
Correlation - Statistics
Lesson Summary
Practice Quiz: Exploratory Data Analysis
Graded Quiz: Exploratory Data Analysis
Lab: Exploratory Data Analysis - Used Car Pricing
Lab: Exploratory Data Analysis - Laptop Pricing
Creating Different Types of Plots in Python
Chi-Square Test for Categorical Variables
Module 3 Cheat Sheet: Exploratory Data Analysis
12 Topics
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
Lesson Summary
Practice Quiz: Model Development
Graded Quiz: Model Development
Lab: Model Development - Used Car Pricing
Lab: Model Development - Laptop Pricing
Module 4 Cheat Sheet: Model Development
12 Topics
Model Evaluation and Refinement
Overfitting Underfitting and Model Selection
Ridge Regression
Grid Search
Lesson Summary
Practice Quiz: Model Evaluation and Refinement
Graded Quiz: Model Evaluation and Refinement
Lab: Model Evaluation and Refinement - Used Cars Pricing
Lab: Model Evaluation and Refinement - Laptop Pricing
Introduction to Ridge Regression
Module 5 Cheat Sheet: Model Evaluation and Refinement
10 Topics
Final Project Scenario
Cheat Sheet: Data Analysis for Python
IBM Digital Badge
Congratulations and Next Steps
Thanks from the Course Team
Final Exam
Submit your Project and Review Others
Practice Project - Data Analytics for Insurance Cost Data Set
Lab for Final Project - Data Analytics for House Pricing Data Set
Practice Project Overview
Data Analysis with Python
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