Compleated another certificate realted to data Science. This was was step by step explainaiton of the whole procedure of a Data Science project. It showed the pattern as a whole instead of goind too much deep into how each operation is being done. In the discussion coloum of the IBM portal some students found it way too eazy, whereas the idea of working with so much data and numbers on a excell sheet in future overwelmed me a bit.
So finally I overcame my fears and compleated this bit and here is the link to flaunt on another certificate from IBM
Yes I also love the badging system by IBM and I have three digital version collected till now.
Or the whole collection at https://www.credly.com/users/tapish-dongre/badges
Hope I can add more in the future months.
Year 2021 is looking promising. See you in the next post or next life….
In this article, I am just documenting my journey of learning Data Science. Currently, I have completed Course 2 of the IBM Data Science Professional Certificate titled “Tools for Data Science”
I have currently two digital badges from IBM to flaunt on this Digital Universe
The link to the Badges is:
- Data Science Orientation
2. Tools for Data Science
Now Coming to the main part of this article. The final takeaway of this course was the final assignment learned in week 4 of the course where we executed the learning of different Markdowns (i.e Fonts / Caligraphy in Coding). This has complied in a Jyupter Notebook made inside Waston Studio provided by IBM. I am sharing a link to my work as this would be the first-ever task I managed to pulled of in my Data Science journey. (I know I know in the future I will laugh that I shared a barely minimum sill level task but it is just the start of a big Marathon thus I thought the smaller achievements are worth a share)
The link to my work is :
Hey I can also share my Completion certificate now, the link to my Certificate is :
Hopefully, more Certificates, as well as projects, would come in the future to flaunt my skills thus do sign up / follow /Subscribe or bookmark this website to get further updates posted as and when I learn new cool stuff.
While practicing work on Jupyter Notebooks there are many fancy ways to write a code markdown. Markdown are like Headings, Titles and Subtitles in a code which are not executed in while we run the programme. These Markdowns are only there to guide the reader of what the code is about or explain the code step by step or add hint or comments.
There is a cheat sheat to guide us through the variety of Markdown styles. I will provide the link to original post so that the credit goes to the content creator rather than just copy pasting the styles in this web page.
This link to the Markdown Sheet is: https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet
Hope to share more info about Data Science as and when I learn about it.