30 Data Science Projects in 30 Days Resources
Click on any of the days below to get their resources.
Bookmark this page so it's easily accessible to you! And easy to find.
Day 1 starts August 2.
Want to sponsor a day? I'm looking for organizations who would be interested in parterning with me. Send an email to Avery@DataCareerJumpstart.com with subject line "Interested in partnering".
Day 1: Analyzing Animal Shelter Data with Dash
Day 2: Who is The Most Googled Man? Animated Line Chart + Google Trends
Day 3: Beginner Data Visualization Project using Observe, Collect, Draw
Day 4: NFT Data Analytics Project With Python
Day 5: Visualize LinkedIn Data with Tableau
Day 6: Make a Word Cloud with an Image (The Office)
Day 7: Created AI Generated Art
Day 8: Using R to Analyze if Survivor is Racist
Day 9: NBA Lineup Analysis with Python + Streamlit
Day 10: AirBnb Analysis with SQL
Day 11: Google Analytics with Keboola & Google Data Studio
Day 12: Horse Racing Data Science Project in 30 Minutes (Kaggle Project)
Day 13: Strava Data in Power BI
Day 14: Automate LinkedIn with Python
Day 15: Coding a Data Science Project using ONLY my phone
Day 16: The Only Data Analyst Portfolio Project You Need (Amazon)
Day 17: Data Scientist Machine Learning Project | HR Analytics
Day 18: Weekly Community Data Science Projects (Tidy Tuesday)
Day 19: Visualizing Elon Musk Tweets in Augmented Reality
Day 20: Beginner NLP Data Science Project with Python
Day 21: I Analyzed Ken Jee's Data Better Than He Did
Day 22: Engineering Data Analysis (PCA)
Day 23: Easy Bar Chart Race Animation Tutorial
Day 24: Regression in R to Analyze Health Data
Day 25: Gun Background Checks in USA in Tableau
Day 26: How I’d Use Data Science To Launch a Business
Day 27: Implementing Data Quality in Python w/ Great Expectations
Day 28: Using Data Science to UNCOVER McDonald’s Healthiest Food
Day 29: Using Python to Create Image Filters
Day 30: NFL Big Data Bowl - Special Teams
Want a step-by-step guide to building killer data science projects?
Check out my latest course, The Data Science Project Studio
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