As a Data Scientist you will be using processes, algorithms and systems to analyse and interpret complex digital data in order to assist a business in its decision-making.
Data scientists primarily work at solving business-related problems using data-driven techniques. They collect large amounts of unruly data and perform statistical analysis, using various machine learning-based tools or processes, to extract order and patterns and spot important trends. They use this information to make predictions that can help in making future plans for the business.
Studying Science stream with Maths at the +2 level is the prerequisite for pursuing higher studies in Data science. Taking Computer Science with Maths would be preferable.
The common courses offered at the UG level in this area is BSc in Data Science or B.tech in Computer Science. Bachelor’s in Math/ Statistics which is of 3 years can also be considered.
After graduation you can go for Masters in Data Science which is provided by few institutions in india but many abroad. M.tech in Computer Science with specialisation in Data science may also be considered.
Pg Diploma in Data Science and various certificate programs are available like the Certified Analytics Professional (CAP) program, Certified Specialist in Predictive Analytics (CSPA) program and the Data Science Certificate
Requirements for admission into a PG course in one of the top institutions to help you get an overall picture
To see the entrance exams, scholarships and UG admission details, click here
Data scientist will need to clearly and fluently translate their technical findings to a non-technical team, such as the Marketing or Sales departments. Thus communication skills are highly required.
Data scientists must possess strong analytical skills, as they will be analyzing large datasets. They will need to improve their ability to run experimental analysis, scale their data strategy and implement machine learning.
Data scientist will be dealing with large volumes of data. Good mathematical and statistical skills would be required for analysing and interpreting this data to obtain organised information.
To be a good Data Scientist it’s important to be good at problem solving. Data scientists don't just need to know how to solve a problem that's defined for them, but also how to find and define those problems in the first place.
Teamwork is vital to be a data scientist. They need to be selfless, embracing feedback and sharing their knowledge with the team.