More Freee Books: Data Science etc

Ohh wow, the Internet is full of Google Drive Links to Download so much content.

Here are the links to a few books related to Data Science related material that I recently found:

First of all, I would urge anyone reading this blog to join this Facebook group if they are interested in more free Data Science related resources

Then scroll and download anything you require from this article

List of Online Resources

Excell Related PDFs

Data Science from Scratch

Python Data Structure and Algorithms

And as posted before

Pro Python 3

See you in the next post or next life, whichever comes first !!!

Tapish Dongre

FREE Course Online: Website Review

The domain name 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

Ali Abdaal’s “How to Study for Exams” – An Evidence-Based Masterclass

Right at 11:58 pm on a Sunday just 4 days shy from new years eve 2022, I completed Ali Abdaal’s class on “How to Study for Exam” and here is a short review about it.

Is the Course Worth it?

The short, one-word answer is “YES”. But since I am too excited and being long term fan of Ali Abdaal’s work on Youtube, I would like to elaborate it was a wonderful journey only to learn 3 key ingredients about studying for anything. Giving some spoilers and no spoilers ahead, they were to UNDERSTAND, REMEMBER and FOCUS. But these three words cannot sum up the course as there were more than 100 other points in the course to learn out of which I can retain only 60% knowledge. (Based on my capacity to process the data I learned at this stage of life).

WHY did I take this Course?

I am trying my best to complete the IBM Data Science Course I signed up for last November, and it has been almost a year since I am unable to complete it. I kept missing out on the information or losing motivation or just not focused enough. Internally I don’t want to be the person who signed up for something and left it midway, even after knowing how important it is. Thus now I wanted to know if am I doing something wrong in my study technique that I am unable to reach my target. And these unique situations lead to my search for “how to learn better”. Few Google Search and a few friends of friends recommendations took me to a specific link on SkillShare and that was this course:

How much time does it take to complete the Course?

The point here is not how much time did it take me to go through one run of the whole video played at 1x speed. But it is more important how we think about how much can we learn in any given amount of time. But I will not hide any truth in this article. It took me a whole week to go through the material of the course including the time I spent absorbing and assimilating the material I just consumed. Probably others can do it within 24 hours by binge-watching the content. But if you need to learn something from it, it would be great to at least keep 3 days to one week in hand just to try out a few of the new techniques we learned

What’s Next?

As mentioned in the course about “Active Recall” and “Spaced repetition,” I would probably try to implement the skills I upgraded and try to go through the re-wired learning methodology I was just enlightened with. Hopefully, I can use these skills soon for learning anything in life and currently complete the Data Science Course with a more focused and enthusiastic approach.

I will make it or not, in either case, I will keep this blog updated on how did I go further.

Happy New Year in Advance

Best Regards


Pro Python 3

In general, I don’t openly promote piracy but as joining multiple groups learning python, data science, and cloud I came across many resources.

Some resources are freely available and some are heavy on our pocket.

The views expressed by fellow learners put me into the moral dilemma of, “to what extent the resources should be charged and to what extent they should be available for free?”

I have decided from time to time I would share some of these resources which will enable everyone to grow as a collective community.

One of the links I got recently introduced with from a FB group about Python Programming is :

“PRO Python 3 Features and Tools for Professional Development” by J. Burton Browning and Marty Alchin

All rights to the book are reserved to the respective owner, and the book is available to download only for a short period of time till the kind fellow humans keep the sharing link active.

To download please follow the link:

Also if the link is not available in the future, please write it in the comments section below and I will remove this post.


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

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


Or the whole collection at

Hope I can add more in the future months.

Year 2021 is looking promising. See you in the next post or next life….



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

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.



Jupyter Notebooks on the Internet

Copy of Original Article by “Romeo Kienzler” in IBM Data Science Course

There are thousands of interesting jupyter notebooks available on the internet for you to learn from. One of the best sources is:

It is important to notice that you can download such notebooks to your local computer or import them to a cloud based notebook tool so that you can rerun, modify and follow along what’s explained in the notebook.

Very often jupyter notebook are already shared in a rendered view. This means, that you can look at them as if they were running locally on you machine. But sometimes, folks only share a link to the jupyter file (which you can make out by the *.ipynb extention). In this case you can just grab the URL to that file and past it to the NB-Viewer =>

The list above gives you a very nice start with a huge collection of materials to explore. Therefore it’s maybe more useful to give you some pointers to interesting notebooks. As we have covered some toy examples with toy data in the labs, let me just point to some work which uses these data and goes further down the road of data science. In addition, as we’ve covered the different tasks in data science we’ll also provide an exemplar notebook for each of those.

First you start with exploratory data analysis, so this notebook is highly recommended to have a look at:

For data integration / cleansing at a smaller scale, the python library pandas is often used. Please have a look at this notebook:

If you want to already experience what clustering is, have a look at this:

And finally, if you want to go for a more in-depth notebook on the iris dataset have a look here:

“I have just kept a copy of this page on my website as a personal note that this infomation is useful and I should read the individual links in my free time.” – Tapish Dongre

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:

Hope to share more info about Data Science as and when I learn about it.



The “Wants” but Not the “Needs”

Sitting, working or study at “home” I am daily bombared with many commercial adds. Tapping deep down to my insecurity or just touching the peak of my craving curve. These adds, target the basic choice of a person. Though I am learing Data Science and I am hopeful to be on the other side of the imaganary line where I will be making software and Data Analysis platforms that can predict a model or some behaviourial pattern. But currently on primitive side of the imaginary line, these “Wants” are of a big distraction.

Thus instead of giving on to those Wants” I am just making another list here with pictures of all the things I want, instead of the ones I actually need.

  1. Playstation Five PS5

Its been pending since the start of the year. Probably the lack of availabilty in the current market makes it more desirable. I currenlty have a PS4 and probaly more than 100 games. Actually exactly 121 Games (I just checked my list) and out of that more than 50 are my Retirement Plan Games. Still the Craving for buying a PS5 is an itch difficult to get out of.

Play Station Five PS5

2. An M1 Apple

This is an expensive one as well thus more difficult to decide on one. Since the annouce of M1 processor and my Professor suggesting me to buy a mac to do Data Science instead of the Windows I am use to. I am actually confused between the two. Should I go for a Mac Mini which is equaly powerful as the Mac Book Pro using an M1 Processor.

Mac M1 Machines

3. Nintendo Switch (unpatched)

Since the time I learned that Nintendo switch can be homebrewed I wanted one my hand. I knew only the first generation can be modified without the use of a soildering skills that I do not have now. I wanted to try out the what all a small platformer can do with modifying its softwares

Nintendo Switch with Atmosphere Installed in it

4. Back Massager

This is the one craving I am ready to give into. Spending at least 8 hours on chair in front of my system, this is the one thing I am eager to buy as soon as possible. I have see the cheaper model of Massaging Instrumentation at nearest Kmart and I guess this is the one on my bucketlist before Dec 2021. The craving started when I went to one of my freinds’ (MJ’s) house warming party and used a similar model kept on his dinning chair.

Back and Thigh Massager

5. A portable Vaccume Cleaner

One of my household duty is to keep the house clearn or at least Vaccume it once a week. My current vaccume clearns is eons old and thus I wanted to upgrade it from past month. Though I am very keen to upgrade to a Codless vaccume cleaner but comparing its power and runntime only being 20 minutes, I would probably buy a Chorded one.

I-Vac X20 Stick Vaccume Cleaner

6. Go Pro Camera

I know I know my list is mostly of electric and electronic cravings but an Action Cam is one on my list from a very long time. Especially since the time I learned that the new Go_Pro Hero 9 has inbuild image stabilization and thus even if you walk and capure something, the video comes without any shakes even on 4k 60 frames per second.

Go Pro Hero 9

7. Google Pixel 6

I wanted to upgrade my mobile(Moto G9 Plus) since last November which it got its first crack on its screen within first month of its purchase. The warrenty did not cover the glass damage and though its a good working mobile still it was not the first choice at the time of purchase. I have used a Pixel 3 and I am aware of the Google Phone performance thus would like to switch back to it as and when possible and not being heavy on my pocket.

Google Pixel 6

8. iPad Pro

This is another latest crave arised when making Mathematics Videos on my Youtube Channle. I recently started a journey of Revisting the NCERT/CBSE mathematics books from Class 1 to 12 ( link: ) While expaling anything on camera, many times I feel like there should be something which I can write on to show what I am thinking while explaining any maths problem This lead to search of devices with Pen capture and finally I landed on Ipad Pro which can do the job along with other stuff.

iPad Pro with Pen

9. Mirrorless Camera (Originaly Thought DSLR)

If/when I have a Go-Pro and Google Pixcel, I dont really need a good video capture device. But this list is not of the needs anyway. Thus I thought why not include the long awaited DSLR on my list. Currently the DSLR would be very heavy thus I switched on to the craving of possessing an Mirrorless with 4k 60 to 120 fps caputre and that is only possible in a camera ranging way above my pocket range. Cannon R5 or R6 are on the market that caters that “want”

Cannon R6

10. 4k Laser Projector

It was either this or a 75 inch TV. But in house if we really want the Theater Kinda feeling then a 4K Laser project is something I would plan for when I will buy a house of my own.

4k Laser Projector

All the images used in this post belong to their respecive creators fond on the web. My list could have been longer but currently all togher they have crossed my annual earning already. Thus even to think more I have to first expand my pocket or source of earning then dream upon making the Sand Castel.

If in your dream purchase list matches mine, please do write it on the comment section below. And if my list gets updated, either I will update this one with more items or just make another list next year.

Till then, be in touch…

See you on the other side !!!

Tapish Dongre

Skills Vs Challenge

World used the television series How I Met Your Mother as an Comedy entertainment option to relax after a stressful day. But back in India, I used this as something a simulating model of how the behaviourial pattern would be if/when I would get a chance to visit or live in some other country. Back then it was a platform to learn about other cultures. Fast forward 10 years down the line, I actually got a chance to study and live in Australia. Though the series dose not exactly mimic actual life living in land outside India, but it was like a starter/refreshment course for us to actually understand a little bit of western culture, their problems, way of thinking and what can or cannot be done in a day to day life.

In the same series a character named “Barney Stinson” played by Neil Patrick Harris used a graph called “Hot vs Crazy” to define or explalin in general that a person can tollerate as much as crazyness of girl/woman as much Hot she is. Definatly I am not trying to justify any objectification of any gender as the graph was used only for a comic purpose which in their fictional world made some sense. Comming back to reality, I found another graph which relate to Challenge vs Skills origally observed in “Finding Flow by Mihaly Csikszentmihalyi”

Finding Flow by Mihaly Csikszentmihalyi

This Graph I can actually realte to while I am studing Data Science or Working on any Project.

For a simple task like washing utensils, the skil level is low, and the challege is low, so I sometimes get into wonderland in my own mind.

Where as Studing Diffrential Calculus where I have less skill and being a highly challenging task for me gives me Anxiey and I try to quit or find excuses to postponed the task.

Current target is not directly aim for flow, but to at least be in the Relaxation or Control zone while gaining more knowledge.

Please do wrte in comment section below what state of mind you are while currenlty doing any task in your current life stage. Hopefully we can share strategies to overcome our hurdles with collective information and experience.

Best regards