Data Sciences
Dr T P Singh | Professor | UPESWhat is Data Sciences?
There are many nuances of a Career in Data Sciences. Internet is brimming with pages on How to get into Data Sciences, while one should first understand What is a Career in Data Sciences. The most authoritative source of information on Data Sciences is someone with real experience in it.
Professor Dr T P Singh invested 22 years & 4 months in Data Sciences. Professor Dr T P Singh outlines Data Sciences as:
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured, similar to data mining.
How Professor Dr T P Singh got into Data Sciences?
After completing my education, I started my career with TCS as a DBA. After that, I joined Sharda University as an Associate Professor and worked there for almost 17 years. I am a Professor at UPES since 2017.
Professor Dr T P Singh's Talk on Data Sciences |
|
Starts with what is: | |
1) | Data Sciences |
Next, it covers Education. It was a welcome change to see the Talk touch upon Education as theoretical knowledge needed to excel at Data Sciences, and not merely as Qualifications needed to enter Data Sciences. Here is a list of Education items required for Data Sciences: | |
2) | Maths |
3) | Statistics |
4) | Programming Languages |
5) | Business Intelligence |
6) | Internet of Things |
7) | Systems Development Life Cycle |
Then, the Talk focuses on the most important component that is Skills. Sills and success in Data Sciences go hand in hand. One needs to get a hold of essential skills. It details these topics within Skills for Data Sciences: | |
8) | Problem Solving |
9) | Analytical Skills |
10) | Interpersonal Skills |
11) | Communication Skills |
12) | Software Tools |
13) | Research Orientation |
14) | Independent Thinking |
15) | Management Skills |
It is important to get an understanding of the Positives of Data Sciences. This Talk defines Positives in terms of following items for Data Sciences: | |
16) | Exponentially Growing Field |
17) | High Demand |
18) | Exploring New Ideas |
19) | Cross Functional Domains |
20) | Work Life Balance |
21) | Domain Independence |
Challenges define Data Sciences as much as the Positives of the same: | |
22) | Knowledge Upgradation |
23) | Expected Real Time Response |
24) | Unstructured Data |
25) | Thinking Out of Box |
In the final section of the Talk, Dr T P Singh talks about How a day goes in a Career in: | |
26) | Data Sciences |
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How to get into
Data Sciences?
If you are want to get into Data Sciences, start by investing in a Career Plan.
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Next, your Career Advisor will help you document how you can get into Data Sciences, what education and skills you need to succeed in Data Sciences, and what positives and challenges you will face in Data Sciences.
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 Data Sciences.
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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 Sciences
[Career]
https://www.lifepage.in/careers/data-sciences
[Full Talk]
https://lifepage.app.link/20181211-0001
[Trailer]
https://www.youtube.com/watch?v=FAnaqlss4XY
(Data Sciences, Dr T P Singh, UPES, Professor, Scientist, Mining, Researcher, Mathematics, Statistics, Information Science, and Computer Science, IOT, R, Hadoop, Pig, Hive, Data Analytics, Analyst, Data Analysis, Business Analytics, Big Data)
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