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. The most authoritative source of information on Data Sciences is someone with real experience in it.
Professor Dr T P Singh has 22 years & 4 months of professional experience 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. It is easy to Google information about what Qualifications are needed to enter Data Sciences, this Talk went a step ahead to talk about the body of knowledge one needs to develop to excel at 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. Skills are the most important factor determining success in a Data Sciences. 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 |
Data Sciences has an interesting list of Positives. 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 |
It is important that one develops a fair understanding of the Challenges of Data Sciences: | |
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.
The 14 hour process, guided by a LifePage Career Advisor, will help you introspect and check whether your interest in Data Sciences 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 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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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)