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How to become a data analyst from scratch
Build your career in Data Analytics on a firm foundation
Free Webinar
June 23,
7 pm, Manila time
₱ 1500
Free
Get your checklist Top 5 Books for Aspiring Data Analysts after the webinar
Boris Pyakillya
  • PostDoc Researcher at BASF R&D
  • Researcher at The German Research Center for Artificial Intelligence
  • Data Scientist at The Center of Financial Technologies/ NTR Lab
Speaker
Know your perspectives as a data analyst
Make a great shift in your career but don’t know where to start
Work as a data analyst and know the basics
Raise your awareness about the profession
This webinar is for you if you want to:
Languages: Python, MATLAB, Julia, Lua

Frameworks: Pytorch, Pytorch-geometric, Tensorflow (Keras), TF-Probability, scikit-learn, Catboost/Lightgbm/XGBoost

Libraries: RDkit, deepchem, vina, datamol, molvs, pubchempy
Boris Pyakillya
Webinar Speaker
Find out
Why data analysts are in demand
How and when a beginner data analyst can earn
What you need to know to become a pro
How to make your portfolio
Where you could learn the basics
03 : 02 : 01 : 00
Join the webinar “How to become a data analyst from scratch"
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June 23, 7 pm (Manila time)
Free webinar
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