Awesome Data Science Resources

A curated list of awesome books I've read, courses I've completed, and other resources I use.

Artificial Intelligence

• Book Atlas of AI: Ethics, power, politics, and the planetary costs of AI.
• Course AI for Everyone: Overview of everything AI.
• Course AI and Public Health: Learn to apply a framework for AI initiatives.
• Course Building Generative AI Applications with Gradio: Quickly share ML apps.
• Course Building Systems With The ChatGPT API: Learn how to chain calls to a LLM.
• Course ChatGPT Prompt Engineering for Developers: Intro to using the ChatGPT API.
• Course Generative AI with Large Language Models: Explore the generative AI lifecycle.
• Course LangChain for LLM Application Development: Expand the capabilities of LLMs.
• Course LangChain: Chat with Your Data: Learn to build a system with local data.
• Course Prompt Engineering for ChatGPT: Discover various prompt patterns to fully leverage LLMs.
• Report AI Fairness: Explore how to approach fairness and bias.

Data Analysis and Engineering

• Book Python for Data Analysis (3rd Edition): Data analysis handbook.
• Event Data Engineering for Data Scientists: Automating data pipeline workflows.
• Library Pandas: Data analysis and manipulation tool.

Data Science

• Book Hands-On Machine Learning (2nd Edition): Machine learning handbook with examples.
• Book Python Data Science Handbook: Intro to iPython, NumPy, Pandas, Matplotlib, and Scikit-Learn.
• Library Scikit-Learn: Machine learning and predictive data analysis.
• Publication The Batch: A weekly newsletter about AI news and insights.
• Publication Towards Data Science: Medium publication sharing data science concepts, ideas, and codes.
• Resource Kaggle: Machine learning and data science community.
• Resource Machine Learning Mastery: Online machine learning guides and tutorials.

Data Visualization

• Book Practical Tableau: Tableau reference book.
• Book Storytelling with Data: Influence action through data storytelling.
• Book The Big Book of Dashboards: Inspiration for building great dashboards.
• Deck On Presentations: Presentation tips and design.
• Library Plotly: Python graphing library for interactive and publication-quality graphs.
• Resource Tableau Visual Vocabulary: Types of charts within Tableau.

Developer Surveys

• Publication JetBrains Python Developer Survey: Reveal the current state of Python.
• Publication Stack Overflow Annual Developer Survey: Examines all aspects of the developer experience.

Git

• Article How to Write a Git Commit Message: Commit messages matter. Here's how to write them well.
• Book Git for Programmers: Ultimate guide to git.
• Book Git Essentials (2nd Edition): Short guide on git fundamentals.
• Course Git Essentials LiveLessons: Step-by-step git lessons.
• Resource Git Commit Types: List of conventional commit types.

Oh My Zsh

• Framework Oh My Zsh: An open source framework for managing Zsh configuration.
• Plugin git: Provides many aliases and a few useful functions.
• Plugin macos: Provides a few utilities to make it more enjoyable on macOS.
• Plugin vscode: Provides many aliases to simplify the interaction between the command line and VS Code.
• Plugin zsh-autosuggestions: Suggests commands as you type based on history and completions.
• Plugin zsh-safe-rm: Put files in your OS's trash instead of permanently deleting them.
• Plugin zsh-syntax-highlighting: Provides syntax highlighting for Zsh.

Productivity Apps

• App Anki: A program which makes remembering things easy. Here's a primer.
• App Magnet: A window manager for macOS.
• App Things: A beautiful task manager for macOS & iOS.
• App Typinator: Automates the process of inserting frequently used text/code.

Programming Fundamentals

• App iTerm2: macOS Terminal replacement.
• App Visual Studio Code: Free coding editor with support for many languages.
• Book A Common-Sense Guide to Data Structures and Algorithms: Practical DSA guide.
• Book The Linux Command Line (2nd Edition): Command line fundamentals.
• Resource W3Schools: The largest web developer site on the internet.

Project Management

• Book Agile Practical Guide: Agile guide created by the Project Management Institute and Agile Alliance.
• Book Mastering the Requirement Process: Getting requirements right.
• Course An Agile Crash Course: Agile for Dummies.

Python

• App PyCharm: The Python IDE for Professional Developers.
• Book Python Testing with pytest: Step-by-step instructions and sample code for pytest.
• Book Python Crash Course (2nd Edition): Python fundamentals.
• Course Effective Python: Lessons to writing programs the Pythonic way.
• Course Python Fundamentals: Code-oriented presentation of Python.
• Framework Miniconda: A small, bootstrap version of Anaconda.
• Resource Python Morsels: Learn to write better Python code.
• Resource Real Python: Online Python tutorials, video courses, news, and more.

SQL

• App TablePlus: Modern, native, and friendly GUI tool for relational databases.
• Book SQL Pocket Guide (4th Edition): Popular SQL pocket guide.
• Book Learning SQL (3rd Edition): Learn SQL fundamentals.
• Resource PostgreSQL Exercises: Provides a series of questions and explanations.

Statistics

• Book OpenIntro Statistics: Comprehensive statistics textbook with real-world examples.
• Book Practical Statistics for Data Scientists (2nd Edition): Statistical methods for data science.
• Course A/B Testing, A Data Science Perspective: Guide to designing and executing A/B tests.
• Resource Khan Academy: Short video lessons including statistics, probablity, algebra, and more.

Web Scraping

• Book Web Scraping with Python (2nd Edition): Web scraping handbook.
• Event Advanced Web Scraping: Learn about scheduling and Selenium.
• Library Selenium: Web browser automation.
• Library Scrapy: Framework for extracting data from websites.

Workflow Engineering

• Book The Phoenix Project: A novel about IT and DevOps.
• Book Workflow Modeling: Tools for process improvement and application development.