I am going to be documenting my journey of becoming a Data Scientist through the Data Analytics pathway.

I actually started officially on the 14th of January 2022 although I've been too relaxed in my learning due to other commitments.

This is going to be in form of a diary/journal kind of record but as an engineer, I'll call it my logbook.

I'll be sharing some other aspects of my life so this would not just be about programming and data stuff. A few back stories here and there and materials I'm using at each step of the process.

This log should be done daily but I can't make promises. I'll update as often as I can and hopefully this helps me to be more focused and consistent.

Took a one year break. Will be resuming later this month.

Airko:
I am going to be documenting my journey of becoming a Data Scientist through the Data Analytics pathway.

I actually started officially on the 14th of January 2022 although I've been too relaxed in my learning due to other commitments.

This is going to be in form of a diary/journal kind of record but as an engineer, I'll call it my logbook.

I'll be sharing some other aspects of my life so this would not just be about programming and data stuff. A few back stories here and there and materials I'm using at each step of the process.

This log should be done daily but I can't make promises. I'll update as often as I can and hopefully this helps me to be more focused and consistent.

Can u code with Python?

LikeAking:

Can u code with Python?

Yes. I know the fundamentals

Beginning my journey to mastering python for both Data Analytics and hardware development

Finally got back to learning after almost a year.

Started python from scratch again. I skipped the fundamentals this time and moved straight to the parts I need.

Started with Jupyter Notebook but after the first video, I switched to Jupyter Lab. All my tutorial videos are in Jupyter Notebook though.

I am currently learning numpy. Just one more video left.

PS: I have gone through some of the tutorials before but I am yet to complete all. In the meantime, this is just like a refresher course until I go deeper.

In my Data Analytics Learning Journal, I carefully record ideas, resources, and methods. I think back on problems encountered, solutions worked out, and findings to promote a greater comprehension of programming languages, statistical techniques, and data visualisation. It acts as a compass to direct my professional development.