Data Science
Aayushi Verma | Data Scientist | EdGE Networks Pvt LtdWhat is Data Science?
You may be curious about a Career in Data Science. Internet is brimming with pages on How to get into Data Science, while one should first understand What is a Career in Data Science. Just like you would normally not trust a non Doctor with names of medicines, you should also not trust opinions about Data Science from non professionals.
Data Scientist Aayushi Verma has 5 years of professional experience in Data Science. Data Scientist Aayushi Verma outlines Data Science as:
Data science is a multidisciplinary blend of data inference, algorithmm development, and technology in order to solve analytically complex problems. At the core is data. Troves of raw information keep streaming in and stored in enterprise data warehouses as there is much to learn by mining it.
How Data Scientist Aayushi Verma got into 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 Data Science |
|
Starts with what is: | |
1) | Data Science |
Next, it covers Education. It is easy to Google information about what Qualifications are needed to enter Data Science, this Talk went a step ahead to talk about the body of knowledge one needs to develop to excel at Data Science. It discusses following headings for Education in Data Science: | |
2) | Mathematics |
3) | Programming Languages |
4) | Domain Knowledge |
Then, the Talk focuses on the most important component that is Skills. Skills are the most important factor determining success in a Data Science. It discusses following headings for Skills in Data Science: | |
5) | Reading |
6) | Analytical & Logical Thinking |
7) | Data Exploration |
Positives of Data Science motivate one to work hard for the same. This Talk defines Positives in terms of following items for Data Science: | |
8) | High Paying Profession |
9) | Huge Demand |
10) | Positive Social Impact |
11) | Interesting Job |
Challenges define Data Science as much as the Positives of the same: | |
12) | Lack of High Quality Data |
13) | High Expectations |
14) | Interpretability Issues |
In the final section of the Talk, Aayushi Verma talks about How a day goes in a Career in: | |
15) | Data Science |
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How to get into
Data Science?
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The 14 hour process, guided by a LifePage Career Advisor, will help you introspect and check whether your interest in Data Science is merely an infatuation or is it truly something you wish to do for the rest of your life.
Next, your Career Advisor will help you document how you can get into Data Science, what education and skills you need to succeed in Data Science, and what positives and challenges you will face in Data Science.
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Your LifePage Career Advisor facilitates your guided introspection so that you systematically explore various Career options to arrive at a well thought out Career choice.
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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 Data Science
[Career]
https://www.lifepage.in/careers/data-science-1
[Full Talk]
https://lifepage.app.link/20181130-0008
[Trailer]
https://www.youtube.com/watch?v=rdNZoyFLgI4
(Aayushi Verma, Data Scientist, Edge Networks, Data Science, Natural Language Processing, NLP, Artificial Intelligence, Data Analytics)
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