/datacamp

Some DataCamp archives.

Primary LanguageJupyter NotebookMIT LicenseMIT

DataCamp

I'm very thankful to my company ICMC Júnior, that has distributed the DataCamp platform to its workers!

So, this repository contains some files from the learning platform. I've used these to improve my knowledge about Data Science :)

Carrer Tracks

I really have loved the way that DataCamp teaches in Carrer Tracks, because it makes an objective path to follow, with a lot of courses!

Data Scientist with Python

I've put all the slides and certificates of the courses here, including:

  1. Introduction to Python;
  2. Intermediate Python;
  3. Data Manipulation with Pandas;
  4. Merging DataFrames with Pandas;
  5. Introduction to Data Visualization with Matplotlib;
  6. Introduction to Data Visualization with Seaborn;
  7. Python Data Science Toolbox (Part 1);
  8. Python Data Science Toolbox (Part 2);
  9. Intermediate Data Visualization with Seaborn;
  10. Introduction to Importing Data in Python;
  11. Intermediate Importing Data in Python;
  12. Data Cleaning in Python;
  13. Working with Dates and Times in Python;
  14. Writing Functions in Python;
  15. Exploratory Data Analysis in Python;
  16. Analyzing Police Activity with Pandas;
  17. Statistical Thinking in Python (Part 1);
  18. Statistical Thinking in Python (Part 2);
  19. Supervised Learning with scikit-learn;
  20. Unsupervised Learning in Python;
  21. Machine Learning with Tree-Based Models in Python;
  22. Case Study: School Budgeting with Machine Learning in Python;
  23. Cluster Analysis in Python.

Other courses

I've done some courses outside of Carrer Tracks, some important knowledge too!

As well as upside, i put the slides and certificates of them.

Python

  • Introduction to Deep Learning in Python.

R

  • Introduction to R;
  • Intermediate R;
  • Introduction to the Tidyverse;
  • Introduction to Importing Data in R.

SQL

  • Introduction to SQL;
  • Introduction to Relational Databases in SQL;
  • Joining Data in SQL.

Projects

I've saved some projects here that were done by me.

Python

I've done these works to train my Python and Data Analysis skills.
This path contains:

  • A Visual History of Nobel Prize Winners;
  • Disney Movies and Box Office Success;
  • Dr. Semmelweis and the Discovery of Handwashing;
  • Exploring 67 years of LEGO;
  • Exploring the Evolution of Linux;
  • Predicting Credit Card Approvals;
  • The Android App Market on Google Play;
  • The GitHub History of the Scala Language;
  • TV, Halftime Shows, and the Big Game.

Observation: I recommend using the nbviewer to visualize the .ipynb files.