Exactly two months ago, I decided to start my coding journey. I found that few articles give a beginner friendly programming pipeline. It’s time to share!

How to answer tough questions using data-analysis?

In this article you will find:

  • Where to begin? Coding **platforms/environments **used for programming
  • Where to find inspiration for **beginner projects. **How to learn from every project without getting stuck
  • What to do when we get stuck

Where do people actually code?

Online courses very rarely mention the first and most crucial step in the data science process. **Which tools to download when you want to start coding! **For this I recommend two possible Integrated Development Environments (IDEs):


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_Pycharm: _integrated development environment used in computer programming, specifically for the Python language. It is developed by the Czech company JetBrains.

Pycharm is great! There are A LOT of videos explaining how to set up the software and run code. For beginners, this IDE offers all you need without over-complicating the user interface. As you grow more experienced it provides all the features a pro will use for machine learning, model training, etc.

Obviously, nothing comes free in life. This software allows for a 30-day trial and is completely free for students. You don’t loose anything by trying it out, if you see a future in coding after a couple of projects, then this is the best investment you could possibly make.

#programming #data-science #technology #machine-learning #artificial-intelligence

Project timeline for Data Science beginners
1.55 GEEK