Projects and notes from DataCamp...

Click on Different Branches for links to jupyter notebooks and datasets

Project A: Who Is Drunk and When in Ames, Iowa?
- Location: https://github.com/ChristianVerdin/DataCamp/tree/Ames
- Purpose: Pandas practice
- Files: Ames.ipynb and breath_alcohol_ames.csv


Project B: Use MLB's Statcast data to compare New York Yankees sluggers Aaron Judge and Giancarlo Stanton.
- Location: https://github.com/ChristianVerdin/DataCamp/tree/Statcast
- Purpose: Pandas and visualization practice
- Files: Statcast_AJ_GS.ipynb / judge.csv / stanton.csv
- data from: https://baseballsavant.mlb.com/about
- statcast glossary: http://m.mlb.com/glossary/statcast
- https://deadspin.com/major-league-baseballs-statcast-can-break-sabermetrics-1820987737


Project C: Automatically generate keywords for a search engine marketing campaign using Python
- Location: https://github.com/ChristianVerdin/DataCamp/tree/GoogleAds_Keywords
- Purpose: Pandas practice
- Files: GoogleAds_Keywords.ipynb / keywords.csv
- Google Ads: https://ads.google.com/home/


Project D: Super Bowl data analysis
- Location: https://github.com/ChristianVerdin/DataCamp/tree/SuperBowl
- Purpose: pandas and visualization practice
- Files: SuperBowl_Analysis.ipynb / halftime_musicians.csv / super_bowls.csv / tv.csv


Project E: Analyzing Twitter Real Time Insights
- Location: https://github.com/ChristianVerdin/DataCamp/tree/Twitter_RealTime-Insights
- Purpose: Pandas, Twitter API, json files, and  Visualization practice
- Files: Twitter_RealTime-Insights.ipynb, USTrends.json, WeLoveTheEarth.json, WWTrends.json


Project F: The Android-App-Market-Analysis
- Location: https://github.com/ChristianVerdin/DataCamp/tree/Android-App-Market-Analysis
- Purpose: Pandas, Androdid, and  Visualization practice
- Files: GooglePlay_Analysis.ipynb, apps.csv, user_reviews.csv


Project G: The GitHub History of the Scala Language
- Location: https://github.com/ChristianVerdin/DataCamp/tree/Scala-GitHub_Analysis
- Purpose: Pandas, Scala, and  Visualization practice
- Files: Scala-GitHub_Analysis.ipynb, pulls.csv, pull_files.csv, pulls_2011-2013.csv, pulls_2014-2018.csv


Project H: A Visual History of Nobel Prize Winners
- Location: https://github.com/ChristianVerdin/DataCamp/tree/NobelPrizeWinner-Analysis
- Purpose: Pandas and  Visualization practice
- Files: NobelPrizeWinner-Analysis.ipynb, nobel.csv


Project I: Analyze International Debt Statistics
- Location: https://github.com/ChristianVerdin/DataCamp/tree/international_debt
- Purpose: Importing / Cleaning , Data Manipulation / SQL / Python practice
- Files: International-Debt-Statistics.ipynb, international_debt.csv, international_debt.sql

Project J: What and Where Are the World's Oldest Businesses?
- Location: https://github.com/ChristianVerdin/DataCamp/tree/oldest-businesses
- Purpose: Joining data in SQL practice
- Files: oldest-businesses.pynb


Project K: Predict Taxi Fares with Random Forests
- Location: https://github.com/ChristianVerdin/DataCamp/blob/Predict-Taxi-Fares-with-Random-Forests/Predict%20Taxi%20Fares%20with%20Random%20Forests/notebook.ipynb
- Purpose: R practice
- Files: notebook.pynb