Build the confidence to code on your own. Projects let you apply your skills using tools like Jupyter Notebook and complete a data analysis from start to finish—all in a risk-free environment.
I use my free time to study the courses on DataCamp. The goal is to complete all the tracks and projects on DataCamp. My project progress will be updated in the form of a table:
| Project | Description | Guided | Unguided | Language |
|---|---|---|---|---|
| Analyzing TV Data | Use data manipulation and visualization to explore one of two different television broadcast datasets: The Super Bowl and hit sitcom The Office! | ✔️ | ✔️ | Python |
| The Android App Market on Google Play | Load, clean, and visualize scraped Google Play Store data to gain insights into the Android app market. | ✔️ | ✔️ | Python |
| The GitHub History of the Scala Language | Find the true Scala experts by exploring its development history in Git and GitHub. | ✔️ | ❎ | Python |
| A Visual History of Nobel Prize Winners | Explore a dataset from Kaggle containing a century's worth of Nobel Laureates. Who won? Who got snubbed? | 🚧 | ❎ | Python & R |
| Exploring the History of Lego | Use a variety of data manipulation techniques to explore different aspects of Lego's history! | ✔️ | ✔️ | Python |
| Dr. Semmelweis and the Discovery of Handwashing | Reanalyse the data behind one of the most important discoveries of modern medicine: handwashing. | 🚧 | ❎ | Python & R |
Legend:
- 🚧 = In progress
- ✔️ = Done
- ❎ = Not available