Let’s Start the Journey!


About me: I just spent six months as a full-time MOOC data engineer/analyst in Centre for Teaching, Learning and Technology, University of British Columbia. Feel free to check out here for some of my work during that period and here for my other personal projects.  If you are a data enthusiast like me, please make sure to subscribe to my weekly digest. I started it mainly for my own collection, but it would be even greater if I can help people like me to ride the data wave and start a career in data science.

I’ve been a lifelong learner. Up to date, I’ve completed:

  • Stats:
    • Data Analysis and Statistical Inference on Coursera
    • Introduction to Probability – The Science of Uncertainty on edX
    • Advanced Data Analysis by Erik Erhardt
    • Computational Probability and Inference on edX
  • Computer Science:
    • Introduction to Computer Science and Programming Using Python
    • Introduction to Computational Thinking and Data Science
    • Object Oriented Java Programming: Data Structures and Beyond Specialization on Coursera
    • Algorithms by  Robert Sedgewick on Coursera
  • Data Science
    • CS109 Data Science Harvard
    • The Analytics Edge on edX
    • Data Science Specialization on Coursera
    • Machine learning by Andrew Ng on Coursera
    • Machine Learning Specialization by Carlos Guestrin and Emily Fox on Coursera
  • Big Data
    • Introduction to Big Data with Apache Spark on Edx
    • Scalable Machine Learning on Edx