Data Science as a Career in India

DATA SCIENCE
Data Science is a field of study that employs computer techniques and mathematical methods to comprehend large amounts of data. This study uses modern tools, algorithms and machine learning techniques that help us to identify hidden patterns within the raw data and derive meaningful information that can be utilised in making major business decisions.

In simple terms, Data Science teaches one how to gather, process, analyse and interpret data so that one can make informed decisions. Data used for analysis come from varied sources and can be presented in various formats.

In addition to the technical skills gained during this course, it also helps one to develop soft skills, such as problem-solving and critical thinking, which are very essential in any business. This results in improved efficiency and higher profitability.

Data science typically involves 5 stages

• Capture: This stage involves gathering raw structured and unstructured data.
• Maintain: This stage involves taking the raw data and putting it in a form that can be used.
• Process: Data scientists take the prepared data and examine its patterns, ranges, to determine how useful it will be in predictive analysis
• Analyse: This stage involves performing various analyses on the data.
• Communicate: In this final stage, data analysts prepare the analysis in forms that are easily readable such as charts, graphs, and reports.

Why Data Science is Important?

The term Data science was first coined in 2001. Data science is becoming increasingly important for businesses because it has been unveiling amazing solutions and intelligent decisions across many industry verticals.

Present day companies are coming to realize the importance of data science, AI, and machine learning.

Regardless of industry or size, organizations that wish to remain competitive in the age of big data need to efficiently develop and implement data science capabilities or risk being left behind.

SCOPE

A career in the field of Data Science has tremendous opportunities for advancement. The demand is high, the salaries are competitive, and the perks are numerous – the reason why Data Science is now being called “the most promising career” by LinkedIn and the “best job in America” by Glassdoor.

According to reports of U.S. Bureau of Labour Statistics, the prediction is that the demand for data science skills will increase upto 27.9 percent by 2026 and uptp 36% by 2031.

Reasons why you must consider a career in Data Science

• Great career growth
• Great potential to branch out into different options within the field- data engineer, analyst, ML engineer, or data science manager.
• High Salary package
• Power to make informed decisions
• Limited talent pool with unique skill set

Booming Market – There is high anticipation for data scientists by 2030 for data science jobs such as research work, data engineering, data infrastructure, machine learning, full-stack data science etc.

The salaries of Data Scientists have risen with demand; Data Scientists can easily expect a six figure salary. Demand also translates into the possibility of relocation—from city to city, and even internationally.

To Pursue Data Science as a Career

One can pursue a career in Data science if they have studied Mathematics, Statistics or Computer science. Also if they have a background in Science, Finance, Economics or Business, this is a great career option.

Technical concepts you should know before you start to learn what is data science

• Machine Learning
• Modeling
• Statistics
• Programming
• Database

Job Profiles in Data Science

• Data Scientist
• Data analyst
• Data Engineer
• ML Engineer

Salary

Data Scientist salary in India ranges between 3.7 Lakhs to 25.7 Lakhs with an average annual salary of 10.0 Lakhs.
According to PayScale, the average salary for a fresher in India, with less than one year of experience, is around ₹5,77,893 per annum. Whereas, someone with 1-4 years of experience can easily expect an average salary of around ₹8,09,952 per annum.

Education

• For admission into Undergraduate Program
• Students should have passed 10+2 from a recognised board of education
• Students need to have taken subjects such as physics, mathematics, and chemistry, as core subjects.
• Students must qualify in the relevant entrance exams

Eligibility

• BSc. DATA SCIENCE
• BSc. STATS WITH COMPUTERS
• BTECH IN COMPUTER SCIENCE & ENGINEERING
• BTECH IN MATHEMATICS & COMPUTING
• BTECH IN COMPUTER SCIENCE & ENGINEERING WITH SPECIALIZATION IN DATA SCIENCE/ MACHINE LEARNING & ARTIFICIAL INTELLIGENCE
• MTech, MSc, MBA, etc.
• PHD

For Admission into PG Program

• Students should have completed their graduation in specialisations such as B.Sc. Statistics, B.Sc. Mathematics, B.Sc. Computer Science, or any equivalent degree from a recognised board or university
• Students should qualify in the relevant entrance exam with minimum 50% marks
• Students with prior qualifications, specialisation, or experience in Mathematics or Statistics are preferred.

Entrance Exams

• Some entrance exams that are required for admission into Data Science
• JEE Mains
• JEE Advanced
• GATE
• SSU CET– This exam is conducted by Sri Sri University
• AMET CET- AMET University
• Jain University Entrance Test – Bangalore
• CUET- Christ University, Bangalore
• NIMSEE-NIMS University
• CUCET- Central University
• JNUEE-Jawaharlal Nehru University

Top Colleges offering BSc & MSc in Data Science

• Loyola Academy Degree and PG College, Secunderabad
• IIT Madras, Chennai
• IIM Kozhikode
• IIT Bangalore
• MIT Manipal
• VIT Vellore
• Sri Ramachandra Institute of Higher Education and Research, Chennai
• NMIMS Mumbai, Mumbai
• PSGCT, Coimbatore
• Sathyabama Institute of Science and Technology, Chennai
• GCT Coimbatore – Government College of Technology
• NIT Trichy – National Institute of Technology Tiruchirappalli
• MIT Chennai – Madras Institute of Technology

Top Recruiters of Data Science

Amazon Flipkart Cognizant Wipro IBM Infosys
Deloitte Walmart Genpact Accenture Microsoft Reliance