Data Sciences
Dr T P Singh | Professor | UPESWhat is Data Sciences?
You may be curious about 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. It is best to learn about Data Sciences from a real professional, this is akin to getting it from the horse's mouth.
Professor Dr T P Singh is an experienced professional with 22 years & 4 months in Data Sciences. Professor Dr T P Singh defines 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. We all know that only 10% of what is taught in Data Sciences is actually used in real life. The Education section of the Talk clearly explained what is the 10% needed in Data Sciences. It discusses following headings for Education in 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 discusses following headings for Skills in 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 |
Positives of Data Sciences are quite interesting. These are the Positives of Data Sciences: | |
16) | Exponentially Growing Field |
17) | High Demand |
18) | Exploring New Ideas |
19) | Cross Functional Domains |
20) | Work Life Balance |
21) | Domain Independence |
There are a few Challenges in Data Sciences which one needs to be cognizant of: | |
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?
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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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