InfoBooks

Introduction to Data Science Using Python

Afrand Agah

  • 117 pages
  • 4.5 MB
  • PDF

A compact course book that teaches data science with Python from the first line of code, covering NumPy arrays, pandas DataFrames, data cleaning, and plotting. Short enough to work through in a single term.

Page 1 / 1
100%

Loading the book...

Found it useful? Share it
Download PDF Verified PDF · Secure download

Keep reading

  • Next in this topic

    Python for Everybody: Exploring Data Using Python 3

    Charles R. Severance · 242 pages

    The most widely used free Python book for people who want to work with data rather than build software. Teaches the language through practical tasks: reading files, scraping web data, calling APIs, and storing results in databases.

    Verified PDF · Secure download
  • Think Stats: Exploratory Data Analysis in Python

    Allen B. Downey · 265 pages

    Exploratory data analysis taught as a working process: import and clean the data, explore one variable, then pairs, then build models. Every technique is shown as Python code applied to a real national survey dataset.

    Verified PDF · Secure download
  • Scipy Lecture Notes

    Gael Varoquaux, Emmanuelle Gouillart, Olav Vahtras, Pierre de Buyl · 674 pages

    A complete tutorial on the scientific Python stack, written by the core developers of the libraries themselves. Covers NumPy, matplotlib, SciPy, pandas, scikit-learn, and image processing, moving from first steps to advanced numerical work.

    Verified PDF · Secure download
  • Introduction to Data Analysis with R

    The GRAPH Courses · 411 pages

    A hands-on R course built around public health and epidemiology datasets. Starts with installing RStudio and moves through data wrangling with dplyr, summary tables, and plotting with ggplot2, with practice questions and solutions in every chapter.

    Verified PDF · Secure download
  • R for Beginners

    Emmanuel Paradis · 77 pages

    A short and direct first contact with R, covering the data structures, how to read and write files, and how to produce graphics and run basic statistical models. Ideal if you want the essentials without a 400 page commitment.

    Verified PDF · Secure download

Explore more Computer Science

See all 31 Computer Science topics

Help us spread the reading habit!

A good book is even better when it’s shared

Send this page to someone who’d love to read it. Everything is free, no sign-up needed.