Research in Data Science
Aayushi Verma | Data Scientist | EdGE Networks Pvt LtdWhat is Research in Data Science?
There are many nuances of a Career in Research in Data Science. Internet is brimming with pages on How to get into Research in Data Science, while one should first understand What is a Career in Research in Data Science. While anyone can have an opinion on what Research in Data Science entails; only a real professional can really explain it.
With 5 years of professional experience, Data Scientist Aayushi Verma understands Research in Data Science. Data Scientist Aayushi Verma describes Research in Data Science as:
Research in Data Science, which is a profession, the goal of Data Science research is to build systems and algorithms to extract knowledge, find patterns, generate insights and predictions from diverse data for various applications and visualization.
How Data Scientist Aayushi Verma got into Research in Data Science?
After completing my M Tech in Data Analytics, I joined a start-up in Delhi as a Data Scientist. After that I have worked for few companies as a Data Scientist, in 2018, I joined EdGE Networks Pvt Ltd as Data Scientist. I have also published few Research Papers in Journals like IEEE & Springer.
Data Scientist Aayushi Verma's Talk on Research in Data Science |
|
Starts with what is: | |
1) | Research in Data Science |
Next, it covers Education. This Talk is unique because it talks about Education in terms of things which can be learnt from books, to excel at a Career in Research in Data Science and not as a list of Qualifications, which one needs to get into Research in Data Science. It explains Education needed in Research in Data Science with these items: | |
2) | Mathematics |
3) | Tools |
4) | Literature Survey |
Then, the Talk focuses on the most important component that is Skills. Anyone aspiring for Research in Data Science needs to understand that Skill development is crucial for success. It details these topics within Skills for Research in Data Science: | |
5) | Focus |
6) | Innovation |
7) | Patience |
8) | Never Give Up Attitude |
There are great positives of Research in Data Science. This Talk defines Positives in terms of following items for Research in Data Science: | |
9) | Help in Academic Growth |
10) | Work Satisfaction |
11) | Validation of Work |
Challenges define Research in Data Science as much as the Positives of the same: | |
12) | Lack of Relevant Data |
13) | Unavailability of Related Papers |
In the final section of the Talk, Aayushi Verma talks about How a day goes in a Career in: | |
14) | Research in Data Science |
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How to get into
Research in Data Science?
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Next, your Career Advisor will help you document how you can get into Research in Data Science, what education and skills you need to succeed in Research in Data Science, and what positives and challenges you will face in Research in Data Science.
Finally, you will get a Career Plan stating which Courses, Certifications, Trainings and other Items you need to do in the next 7 years to become world’s best in Research in Data Science.
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LifePage Plan will not stop at saying "to become an Architect study Architecture". It will guide you on which Certifications, Trainings and Other items you need to do along with your Architecture education to become the world's best Architect.
Links for this Talk
LifePage Career Talk on Research in Data Science
[Career]
https://www.lifepage.in/careers/research-in-data-science
[Full Talk]
https://lifepage.app.link/20181130-0009
[Trailer]
https://www.youtube.com/watch?v=s_-h3frvBC8
(Aayushi Verma, Data Scientist, Edge Networks, Research in Data Science, Natural Language Processing, NLP, Artificial Intelligence, Data Analytics, Big Data)
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