Below are the best resources I've found related to data analytics whether it's learning new skills, hosting a portfolio, or get inspiration from creators. While most of the links focus data analytics there's some that relate to data science. Since there's so much overlap between data disciplines.
Feel free to contribute to this list by adding links you've found helpful. Submit a Pull Request (PR) with your suggestions.
- Blog Post - This repository complements a blog post: Data Analytics Resources. The repo only has links and can contain links to resources I haven't personally used, while the blog post only includes resources I'm familiar with. I regularly update my blog with new resources and detailed commentary. My blog post also has more affiliate links (specifically for books).
- Affiliate Link Disclosure: The only links that are affiliate links (indicated with a *) are for courses I've created. Purchasing through this affiliate link gives me a small commission at no extra cost to you. This support lets me to continue creating and sharing content. Thank you for your support! All other links on this readme are non-affiliate links.
Here you will find:
- Course Platforms
- Specific Courses
- Practice Sites
- Portfolio Hosting Platforms
- Sites to Find Datasets
- Youtube Channels
- LinkedIn Creators
- Podcasts
- Websites
- Books
- Newsletters
- Data Analyst Bootcamp (Free) from Alex the Analyst
- Google Data Analytics Course
- Data with Danny Serious SQL Course from Danny Ma
- The Complete Python Bootcamp From Zero to Hero in Python
- Python for Data Science and Machine Learning Bootcamp
- The Complete SQL Bootcamp: Go from Zero to Hero
- ChatGPT for Data Analytics from Luke Barousse
- SQL for Data Analytics - Learn SQL in 4 Hours* from Luke Barousse and Kelly Adams.
- Python for Data Analyitcs - Full Course Tutorial* from Luke Barousse and Kelly Adams.
- Excel for Data Analyitcs - Full Course for Beginners* from Luke Barousse and Kelly Adams.
- How to Become a Data Analyst for Beginners - Under 2 Hours
- Github
- Maven Analytics
- Tableau Public
- Carrd.co
- novyPro (for PowerBI)
- Datahub
- Dataset Search
- Kaggle
- Data Gov
- Maven Analytics Data Playground
- Awesome Public Datasets
- Datacamp Datasets
- NASA Data
- Google BigQuery
- Danny Ma
- Avery Smith
- Albert Bellamy
- Vin Vashishta
- Christian Wanser
- Annie Nelson
- Megan Lieu
- Chris French
- Jess Ramos
- Matt Mike
- Lauren Rosenthal
- Amna Ahmed
- Margaret Efron
- Meri Nova
- Drew Mooney
- Mary Knoeferl
- Kelly Adams
- Dawn Choo
- Data Career Podcast
- How to Get an Analytics Job
- SuperDataScience Podcast
- Data Bytes
- Data Ideas Podcast
- Data Skeptic
- Data Driven
- Analytics Power Hour
- Data & Impact
- Women in Data Science Worldwide
- The Data Scientist Show
- Women Lead Data Podcast
- Ace the Data Science Interview by Nick Singh and Kevin Huo
- How to Become a Data Analyst by Annie Nelson
- Python for Data Analysis (3rd Edition) by Wes McKinney
- SQL for Data Analysis by Cathy Tanimura
- Practical Statistics for Data Scientists (2nd Edition) by Peter Bruce, Andrew Bruce, Peter Gedeck
- Essential Math for Data Science by Thomas Nield
- Modern Data Analytics in Excel by George Mount
- Excel 365 Bible by Michael Alexander, Dick Kusleika
- The Definitive Guide to DAX by Marco Russo, Alberto Ferrari
- Master Your Data with Power Query in Excel and Power BI by Miguel Escobar, Ken Puls
- Storytelling with Data by Cole Nussbaumer Knaflic
- Fierce Conversations by Susan Scott
- How to Talk to Anyone by Leil Lowndes
- Extreme Ownership by Jocko Willink, Leif Babin
- Never Split the Difference by Chris Voss, Tahl Raz
- Influence: The Psychology of Persuasion by Robert B. Cialdini
- Start with Why by Simon Sinek by Simon Sinek
- Dare to Lead by Brené Brown
- In Search of Excellence by Thomas J. Peters, Robert H. Waterman Jr.
- The No Asshole Rule by Robert I. Sutton
- How to Lie with Statistics by Darrell Huff
- How Charts Lie by Alberto Cairo
- Becoming a Data Head by Alex J. Gutman and Jordan Goldmeier
- DataFrenchy Community - Created by Chris French)
- Break into Data - Created by Meri Nova)
- Data in Motion - Created by Kedeisha Bryan)