IBM: Analyzing Data with Python by Edx
In this course, you will learn how to analyze data in Python using multi-dimensional arrays in numpy, manipulate DataFrames in pandas, use SciPy library of mathematical routines, and perform machine learning using scikit-learn!
Course Highlights
- 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
Skills you will learn!
Curriculum
10 Topics
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
11 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
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
10 Topics
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
11 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
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
10 Topics
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
13 Topics
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
IBM: Analyzing Data with Python
Related Python Courses
Thank You!
Your review has been submitted successfully.