Career Opportunities in Data Science for Science Students
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Data Science is one of the fastest growing fields that facilitates a variety of promising career opportunities for students who want to build their career in the same. In simple words, Data Science is the discipline that uses scientific processes and methods to obtain knowledge from data. It uses principles from Statistics and Computer Science to analyse large data sets.
Some students have a clear career plan whereas some aren’t aware of the varied scope in this area. Moreover, the career opportunities in Data Science include Data Analyst, Data Engineer, Data Scientist etc.
The blog gives insights about the career opportunities available in Data Science for Science students.
Contents
What is Data Science?
Data Science is a multidisciplinary specialisation that combines elements of Statistics, Mathematics, Computing, and other subjects. It uses scientific methods and algorithms to extract meaningful insights from the data. It includes the collecting, processing, and organising of the large and fluid data sets, using algorithms to identify the trends and patterns and conveying the findings through visualisation and storytelling.
List of Top 10 Skills Required in Data Science
The career opportunities in Data Science for Science students are countless but the students need to ensure that they have the following skills in order to build a career in this discipline.
Here are top 10 key skills required:
- Data Visualisation
- Mathematical Statistics
- Programming
- Communication
- Machine Learning
- Deep Learning
- Critical Thinking
- Programming Languages
- Cloud Computing
- Data Ethics
Career Opportunities in Data Science for Science Students
Data Science experts are required in many fields like Retail, Medicine, Banking & Finance, Construction, Transportation etc. thereby creating numerous career opportunities in Data Science for Science students.
Here are the top 5 career opportunities in Data Science for Science students:
1. Data Analyst
Average Salary: 6 LPA to 10 LPA
The role of a Data Analyst is to collect, sort, and interpret the raw data to recognise the trends and patterns of the organisation and help them make informed decisions. Data analysts possess a combination of technical and analytical skills and use tools like SQL, Python, Excel, etc. to analyse the data and present their conclusion through charts, dashboards, and reports that help enhance business strategies.
2. Data Scientist
Average Salary: 4 LPA to 8 LPA
Data Scientist is one of the best career opportunities in Data Science for Science students. The responsibility of a Data Scientist is to blend Machine Learning, Computer Science, and Statistics to extract actionable insights from data. They process the complex data to build predictive models and solve business problems. The key skills required by a Data Scientist are Programming, Statistics and Math, Machine Learning, etc.
3. Business Intelligence (BI) Analyst
Average Salary: 6 LPA to 9 LPA
A BI Analyst analyses the data that might be related to revenue, sales, marketing etc. for a business and helps in making informed decisions. They understand the trends and patterns and help in identifying the areas of success and improvement for a business. They present their findings in the forms of graphs and charts to the team or clients. The technical skills required by a business intelligence analyst are SQL, Data Visualisation, use of Tableau, PowerBI & soft skills like communication, presentation, business acumen, etc.
4. Market Research Analyst
Average Salary: 5 LPA to 10 LPA
This is one of the most promising career opportunities in Data Science for Science students. A Market Research Analyst studies the market conditions and consumer preferences through social media, surveys, trending keywords, focus groups, etc. Students who are interested in building strategies about the products, pricing, and marketing can opt for this career after pursuing a Data Science program.
5. Data Engineer
Average Salary: 5 LPA to 10 LPA
A Data Engineer builds a structure to collect, manage, store, and process the data, transforming it into usable data for the Data Scientists. This makes it one of the most interesting career opportunities in Data Science for Science students. Their work includes designing data pipelines to manage the large data sets and ensure data quality for the organisation. The major skills required by a Data Engineer are proficiency in programming languages like Python & SQL, knowledge about cloud platforms, databases & data warehousing, etc.
Also Check: Top Data Science Courses After 12th Class in India
Wrap Up!
Making a career in Data Science can offer immense growth for students. With the right skill set, students can build a successful career in this highly rewarding field. There are various career opportunities in Data Science for Science students like Data Analyst, Data Scientist, Market Research Analyst, etc.
Students who want to pursue a career in Data Science must be focused, analytical, creative, and curious. With a growth mindset and the interest for learning, students can be triumphant in this career. The scope in Data Science in the digital world is enormous, the students just need to look for the right opportunity for them to achieve success.
