3 Weeks Beginners Guide to Ace Data Science Interview: #Day 2
About the Series
Data Science field is an exciting career choice and seeing a lot of hiring across fresh, lateral and experienced job positions. It’s one thing to know the concepts and totally another to crack the rigorous interviews for data science positions. If a candidate is aware of the different questions and the interview process, he is on the right path to an excellent career in the evolving Data Science field.
This 3-week beginners guide to Ace Data Science Interview will be a useful asset for individuals who are preparing for the Data Science interviews. Every day for the next 21 days, we will talk about the different areas of the Data Science field and cover them elaborately. So sit back and start reading the article to get a finer understanding of the Data Science field and go prepared for the interviews.
My personal take on this series:
I have written numerous posts sharing resources, tutorials and my opinions on learning data science. When I first started my intention was simply to share my learning journey with others in the hope that I could provide some useful information for other people embarking on a similar path.
However, over the last few months, I have experienced that once you are done with your learning until & unless you don’t revise all your notes properly you didn’t feel confident enough to appear for a Data Science Interview.
Note: If you feel there is a topic not covered or there are better references available for certain topics, just let me know.
I know right now you have multiple questions in your mind so don’t worry because in the following post I cover the following questions:
Why this series?
What’s new that this 3weeks series brings to you?
Which contextual questions are we gonna cover in this series?
Why this Series?
3 Weeks series to Ace Data Science Interview is a series that focuses primarily on the DataScience Interview Jinks(Why DS interview process is so complex and how to crack it ?).
The targeted audience includes students and researchers working in and across the fields of mathematics, statistics, computer science or whoever, who aspires to be a data scientist.
This Series is broad but structured in such a comprehensive way so as to cover all core areas of Data Science.
There is so much content available on the internet but what we need is a one-stop content guide which is exactly what I bring to you in this series.
What new 3weeks series brings you?
Even for a lot of higher-level courses/books on Machine Learning/Data Science, you need to brush up on the basics of mathematics, but if you refer to these topics in textbooks, you will find the Data Science context missing. This blog series targets to bridge that gap, it will cover all the underlying mathematics, to build an intuitive understanding, and you will be able to relate it to Machine Learning and Data Science.
What context-related questions are we gonna cover in this series?
3 Weeks series basically covers in-general & in-depth interview questions related to the following fields :
- Linear Algebra for Data Science
- Multivariate Calculus for Data Science
- Probability & Statistics for Data Science
- Machine Learning Algorithms for DataScience
This 21 day series of Data Science interview guide will help Data Science enthusiasts carve their own niche in the field. We will be going through the different aspects of learning and we will be sharing the industry trending knowledge important for a lucrative data science career.
Check what’s in Day1
Final Thoughts and Closing Comments
There are some vital points many people fail to understand while they pursue their Data Science or AI journey. If you are one of them and looking for a way to counterbalance these cons, check out the certification programs provided by INSAID on their website. If you liked this story, I recommend you to go with the Global Certificate in Data Science & AI because this one will cover your foundations, machine learning algorithms, and deep neural networks (basic to advance).
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