About Me

Hello! Thank you for visiting my blog. I hope you enjoy my contents and learn something new. If you want to learn know more about me, please check out below information.

Teaching is not a lost art, but the regard for it is a lost tradition.

— Jacques Barzun

Profile

  • Kasidis Satangmongkol
  • Born on 09 09 1988
  • Data Analyst | Market Researcher
  • SQL | R | Python (newbie) | SPSS | Excel | Power BI
  • Enthusiastic learner
  • To teach is to learn

Education

  • Bachelor of Economics Kasetsart University GPA 3.41 (2006-2010)
  • MSc Food Economics and Marketing, University of Reading, Distinction (2011-2012)
  • Master of Management – Marketing, College of Management Mahidol University (2014 – present)

Work Experiences

  • Ipsos (2012 – 2015)
  • Unilever (2015 – 2016)
  • dtac (2016 – present)

Communities

Professional Certificates

  1. Udacity’s Programming for Data Science Nanodegree Program
  2. Microsoft Office Specialist Excel 2016 Expert
  3. Data Scientist with R (career track on datacamp)

MOOC Certificates

I’m an avid self-taught programmer/ learner. My favourite MOOC platforms include coursera, edx, udacity, udemy, datacamp and dataquest. Below is a list of my achievements so far as of September 2018.

  1. Introduction to R Programming
  2. Introduction to Python for Data Science
  3. Foundations of Data Analysis – Part 1
  4. Foundations of Data Analysis – Part 2
  5. Data Science Orientation
  6. Statistics and R
  7. Data Science: R Basics
  8. Data Science: Wrangling
  9. Data Science: Visualization
  10. Data Science: Probability
  11. Data Science: Linear Regression
  12. Analyzing and Visualizing Data with Power BI
  13. SQL for Data Science
  14. Neural Networks and Deep Learning
  15. A Crash Course in Data Science
  16. The Data Scientist’s Toolbox
  17. Introduction to Scripting in Python Specialization
  18. Python for Everybody Specialization
  19. Exploring ​and ​Preparing ​your ​Data with BigQuery
  20. How Google does Machine Learning
  21. IBM: What is Data Science?
  22. IBM: Databases and SQL for Data Science
  23. IBM: Python for Data Science
  24. Basic Statistics
  25. Inferential Statistics
  26. Customer Analytics

My goal is to achieve 100 certificates by 2020.

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