Is data science a good career in India?
Economic Times dated February 28, 2019, says that almost 97,000 jobs in analytics and data science are vacant in India and the Lack of skilled workers is the reason for vacancies, also there is a good data science scope in India so you have a new job opportunity in case you are
searching for a job or want to switch from your present job.
Data Science
Best Engineering College in Rajasthan says It’s a combination of mathematics, programming, statistics, and design also this combination is used to manage digital data collection Technically speaking, Data Science involves data inference, algorithm development, and technology to solve complex problems also you do research and analyze data to help companies grow by predicting growth, trends, and business insights from a large amount of data.
Scope of Data Science
Data science uses conventional tools, machine learning, and artificial intelligence, paving the way for fertile research He says that this research leads to having a deeper insight into the market micro-structure culled out from huge transactional data of customers also Data Science and the rising demand and institutes that train people in data science.
Need For Data Science Professionals in India
United States in recruiting data science professionals. Bangalore is the top most city in India to have more data science and analytics jobs and Delhi NCR and Mumbai follow also Data Scientist jobs wanted in India on Naukri, so LinkedIn shows 2,000 + job vacancies for data science. Interestingly, 97% of analytics jobs advertised in India are full-time based and 3% comprise part-time, internship, or contractual jobs, so data Science skills are most required in the 21st century.
Industries That Use Data Science
India is spread across several industries:-
Sectors, where Data Science is employed, are
Banking
Ecommerce
Gaming
Finance
Healthcare
Insurance
Pharmaceuticals
Telecom
Travel
Government
Agriculture
Traffic/Road Accidents
Water
Education
IT/SITES
Companies that Recruit Data Scientists
AB InBev
BRIDGEi2i Analytics Solutions
Cartesian Consulting
Envestnet Yodlee
GOJEK
Oracle
Publicis Sapient
Tredence Inc.
Wipro Ltd.
ZS Associates
Fractal Analytics
Amazon
Deloitte
LinkedIn
MuSigma
Flipkart
IBM
Accenture
Citrix
Myntra
Leading Data Scientists In India
Top data scientists in India:-
Joy Mustafi
Ritika Bhattacharya
Kiran R
Dr. Pulak Ghosh
Ravi Vijayaraghavan
Dr. Sunita Sarawagi
Praful Chandra
D J Patil
Shailesh Kumar
Ujjyaini Mitra
How To Become A Data Scientist?
5 steps to starting your career as Data Scientist:-
Do a certificate course in Data Science from a reputed professional institution
Various statistics or machine learning methodologies are used in the industry and there are a lot of free statistics/data analytics/data mining courses available in Coursera, edX, MIT open, etc.
Familiar with programming languages like R and Python.
Understand the various business applications of Data Science.
Participate in various Data Science competitions
Do internships in Data Science companies
Some Data Science Jobs That Are Vacant
97,000 Data Science jobs are vacant in India due to a lack of skilled professionals and Now it is your chance to capitalize on the opportunity also You have to properly get trained in Data Science skills and fill the skill gap that is created, So companies that have posted large openings for Data Science in 2019 are,
Accenture
Amazon
KPMG
Honeywell
Wells Fargo
E&Y
Dell International
EClerx Services
Deloitte
Roles In The Field Of Data Science Are:-
Data Scientist
Data Architect
Business Analyst
Data Administrator
Business Intelligence Manager
Data Analyst
Data Analytics/Manager.
Conclusion
Top Engineering Colleges in Jaipur have many courses in Data Science, It involves studying unstructured data and voluminous data to render better business decisions and It is a new development in computer science that keeps evolving rapidly also you can harness the wealth of opportunities provided by Data Science in India to get lucrative jobs, So data Science refers to the theories, collective processes, concepts, technologies and tools that help to analyse, review and extract key information from raw data.
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