Joleen Belinda

Joleen Belinda

Data Science Enthusiast

Welcome!

I am so glad you are here!

You have found one of the best places to level up your data science skills and knowledge.

We have all heard that if you want to succeed at something, you need to put in the work and practice! This is especially true for data science. You need to apply your skills by building data science projects and having fun with it, too!

But you do not have to lock yourself in a dark room for hours at a time and tackle this alone.

Here we will guide you through data science projects with an easy to follow project flow that you can use to go from “OMG, what do I do with all this data?” to “Project done!".


Why Do Data Science Projects Matter?

Whether you are a new or experienced data scientist, having a portfolio of projects is an invaluable resource to showcase your skills and land your dream job or your next big client.

But you could be asking yourself the following questions:

  • Where do I get data?
  • How do I know what problem to solve or what questions to ask about my data?
  • What software or packages do I use?
  • How do I successfully complete my project without getting stuck in analysis paralysis?

Stick around because we will guide you through your first data science project and beyond and before long, you’ll have an entire portfolio of projects on display.


So Who Am I and Why Am I Qualified To Talk About This?

My name is Joleen Belinda Bothma (aka Jobel) and I first learnt about data science towards the end of my undergrad. Fast forward to today and I have a Masters Degree in Statistics and an absolute thirst for knowledge for all things ‘data science’.

During all my years at university I have always been more interested in how to apply concepts and analyse data rather than proving theorems. There is nothing more satisfying than taking a csv file with thousands (or even hundreds of thousands) of lines of data and turning that into beautiful charts or meaningful models that solves problems and answers questions that actually mean something to me or my community.