Skip to main content

How do I prepare for Msc in datascience at CMI in 2020 within one year?


Introduction:

I have been seeing people ask this question many times in quora as well as in conversations too. So I thought I will take time and I will answer this question outright in a blog post. So, two of my friends from ISI went through this exam this year. It depends on your background. I will suggest you prepare your statistics, probability, and general bachelor's level mathematics properly.


For basic level probability, I will suggest you go through Introduction to probability by Sheldon ross; read the concepts, solve the examples and proceed. This book is good enough to prepare you for the probability questions you will face.

Now, let’s come to the statistics part. For statistics, I will suggest reading through Casella Berger and CR Rao. See, these books are pretty rigorous, and maybe you can find it really hard for you. But, You can skip some of the hard theoretical parts, and follow the flow basically. That will give you a good knowledge of what can come.
Now, once all this is done, start with the question papers. I don’t know whether there is an interview part for this exam for all the candidates. In that case, you will have to go through some blogs or sites mentioning the questions asked in the interview. But prepare well on the previous year's questions; try to fetch similar questions from the above-mentioned books again. It may also help to try m.stat question papers from ISI websites which have solutions available on the internet also. But that is if you are done with all these previous steps.

Some advices and best of luck!

And above all, please try some data science projects hands-on before you end up doing a master's on it. You could be a karate master but maybe you will not like kicking people on a daily basis. A similar concept apply to data science. It may look fancy, but needs a lot of reading and researching along with programming skills to attain a bit of expertise even. So, look before you leap. Just do not run behind “data scientist is the hottest job of 21st century”. Maybe you are well determined and all; but I think it must be mentioned for people aspiring to become data analysts or data-science people.
So! best of luck for your exam!
Labels:
Location: 4th Cross Street, CIT Campus, Tharamani, Chennai, Tamil Nadu 600113, India

Comments

Post a Comment

Popular posts from this blog

20 Must-Know Math Puzzles for Data Science Interviews: Test Your Problem-Solving Skills

Introduction:   When preparing for a data science interview, brushing up on your coding and statistical knowledge is crucial—but math puzzles also play a significant role. Many interviewers use puzzles to assess how candidates approach complex problems, test their logical reasoning, and gauge their problem-solving efficiency. These puzzles are often designed to test not only your knowledge of math but also your ability to think critically and creatively. Here, we've compiled 20 challenging yet exciting math puzzles to help you prepare for data science interviews. We’ll walk you through each puzzle, followed by an explanation of the solution. 1. The Missing Dollar Puzzle Puzzle: Three friends check into a hotel room that costs $30. They each contribute $10. Later, the hotel realizes there was an error and the room actually costs $25. The hotel gives $5 back to the bellboy to return to the friends, but the bellboy, being dishonest, pockets $2 and gives $1 back to each friend. No...
Post a Comment
Read more

Deep Learning by Ian GoodFellow, Yoshua Bengio and Aaron courville Review

History: I have been reading deep learning topics from a number of resources like machine learning mastery by Jason Brawlee, Analyticsvidhya, and other blog resources. But the problem has stayed, the problem of inconsistency in the knowledge. Therefore, I have decided to now sit down, and go through a deep learning book thoroughly. And what better name for deep learning other than Ian Goodfellow! So I have found this book named Deep Learning by Ian Goodfellow. Introduction: Plan for this post is reviewing and rewriting the topics from the book, in simpler language and for sharing the pieces of knowledge with my readers. I will update this post continuously as I proceed with the reading also. So ideally this post is broadly about basic to advanced deep learning material discussion. Sponsored Ads Learn deep learning in python with Udemy   Different parts of the book and purpose of them: This book has three parts,which talks about (1) applied mathematics and machine learni...
Post a Comment
Read more

Pyarabic: python package for Arabic language

 Introduction:  In languages which are non-english and non-european as well, NLP work has progressed slowly in the last few decades because of the lesser number of scholars working on them as well as a lack of global interest in them. But now the time has changed and people from all over the world are collaborating on these lesser explored libraries and they are building resources for working on these languages with the same ease with that of english.  Pyarabic is a package created from such a similar effort which deals with the intricate details of the arabic language and helps processing all kinds of arabic texts. While trying to learn it, being from a non-arab background, I couldn't read lots of parts of the main readthedocs site and had to work my around it. So in this blog post, I will summarize my learnings in english language, so that you can learn it and use the package with much more ease than me. [Credit where credit is due: this article heavily uses the ac...
Post a Comment
Read more