Practical Data Science with Python
The book provides a one-stop solution for getting into data science with Python and teaches how to extract insights from data.
Offered by
Difficulty Level
Intermediate
Completion Time
20h40m
Language
English
About Book
Who Is This Book For?
The book is intended for beginners, including students starting or about to start a data science, analytics, or related program (e.g. Bachelor’s, Master’s, bootcamp, online courses), recent college graduates who want to learn new skills to set them apart in the job market, professionals who want to learn hands-on data science techniques in Python, and those who want to shift their career to data science. The book requires basic familiarity with Python. A "getting started with Python" section has been included to get complete novices up to speed.
Practical Data Science with Python
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 20h40m total length
Introduction to Data Science
Getting Started with Python
SQL and Built-in File Handling Modules in Python
Loading and Wrangling Data with Pandas and NumPy
Exploratory Data Analysis and Visualization
Data Wrangling Documents and Spreadsheets
Web Scraping
Probability, Distributions, and Sampling
Statistical Testing for Data Science
Preparing Data for Machine Learning: Feature Selection, Feature Engineering, and Dimensionality Reduction
Machine Learning for Classification
Evaluating Machine Learning Classification Models and Sampling for Classification
Machine Learning with Regression
Optimizing Models and Using AutoML
Tree-Based Machine Learning Models
Support Vector Machine (SVM) Machine Learning Models
Clustering with Machine Learning
Working with Text
Data Storytelling and Automated Reporting/ Dashboarding
Ethics and Privacy
Staying Up to Date and the Future of Data Science
Related Resources
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