FREE Course Online: Website Review

The domain name https://www.freecoursesonline.me/?1 may or may not work in the near future if/when you might be reading this article a few years down the road. This is a website to offer free copies of the paid courses available online.

Using so much paid and unpaid material to study last year, I was considering myself a borderline pirate with a quite amorphous morality. On one side I wanted to contribute to the makers of all the courses I am consuming, on the other hand, I was financially struggling myself. Thus in the future, if I make a course and you are pirating it in some way, I promise I will be able to understand and empathize with you with my full heart as today I am in that position myslef.

A Screenshot of this website looks something like this:

Screenshot of FreeCourseOnline Website

Now that you know about my moral ambiguity, we can continue to discuss how this website is of benefit to any person who wanted to learn or get a glimpse of the content on famous paid platforms before investing in the content.

  1. It has a huge collection of Cources
  2. Compressed file size for eazy download
  3. Web/Server based application dosent work as it require a paid account
  4. All other content including videos, books or open source content is free and accessible
  5. Cources are well organised
  6. You can request an upload of a course, but it dose take time to rip them and upload.

There might be many more points I can comment on but if this website or certain thing of this kind remains in the future, please do write it in the comments section below. And if you can, please do buy the paid courses to contribute to the creators.

Signing off for now

Tapish Dongre

Data Science Methodology (IBM)

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

https://coursera.org/share/728d9ea3de111e743bf30d7be0dd2050

Yes I also love the badging system by IBM and I have three digital version collected till now.

Link: https://www.credly.com/badges/ac38f9af-f9ac-459c-a909-3052efd041f6/public_url

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….

Cheers

Tapish

Tools for Data Science

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:

  1. Data Science Orientation

https://www.credly.com/badges/82b8daa6-9d94-4ea5-a7ed-1dcd78accc91

2. Tools for Data Science

https://www.credly.com/badges/e8119c02-2b2f-4fdd-852e-bab85cc64bfa

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 :

https://eu-gb.dataplatform.cloud.ibm.com/analytics/notebooks/v2/86e5b12c-d95a-4038-9873-35835cafb4d8/view?access_token=486577407cc406a91d70ef53ec197f2ba50cb70e79295bbd588de37513a605c0

Hey I can also share my Completion certificate now, the link to my Certificate is :

https://coursera.org/share/27abd5146bfe79343b0fe0e678b289b8

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.

Thanks

Tapish

Creative Markdown Cheatsheet

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.

Regards

Tapish