Data Scientist with Python

I have finally completed the Data Scientist with Python track in Datacamp which includes the following 20 courses:

  • Intro to Python for Data Science
  • Intermediate Python for Data Science
  • Python Data Science Toolbox (Part 1)
  • Python Data Science Toolbox (Part 2)
  • Importing Data in Python (Part 1)
  • Importing Data in Python (Part 2)
  • Cleaning Data in Python
  • pandas Foundations
  • Manipulating DataFrames with pandas
  • Merging DataFrames with pandas
  • Introduction to Databases in Python
  • Introduction to Data Visualization with Python
  • Interactive Data Visualization with Bokeh
  • Statistical Thinking in Python (Part 1)
  • Statistical Thinking in Python (Part 2)
  • Supervised Learning with scikit-learn
  • Machine Learning with the Experts: School Budgets
  • Unsupervised Learning in Python
  • Deep Learning in Python
  • Network Analysis in Python (Part 1)

As a bonus I have also completed the Data Analyst and Python Programmer tracks


Finding Lane Lines on the Road using OpenCV

I was invited to a free Preview of our Self-Driving Car Nanodegree Program and the above is the result of the first project where I learned what you can do with OpenCV (region masking, canny filtering, Hough transform). Quite interesting but currently I prefer to focus on other topics.

The source can be found on Github