Careers in Data Science and Analytics

The ecosystem of supreme technologies and vivid virtuosities is shaping us, trying to bring more coherence and simplicity in our lives, and blending more and more computational strategies with it. Sometimes we are bound to imagine our careers in a world where all these things are made possible. All these, knowingly or unknowingly, bring us to the table where the vast world of data scientists and analysts rest. The work which includes collection, analysis, and the procession of statistical data is taking a considerable shape in structuring our lives and can play a significant role in shaping our careers as well.

One of the mainstream industries to this day, data science is influencing companies and niche industries like no other. A giant hub of lucrative career opportunities and massive tech wave, it has been significantly successful in causing huge impacts on today's generation. Its importance lies in the fact that the technology evolved through it can be deployed in an enormous range of subjects, particularly healthcare, energy, finance, manufacturing, retail, telecom, travel, and transportation.

Blessed to have a collaborative indulgence in dynamic job roles, data science remains one of the best career opportunities as of today. The alluring compensations in the job market and the glamorous career ahead makes enormous strata of the studious population take a plunge towards it without any hesitation.

Requisite skill Set

  • A Bachelor's or a Master's degree in Mathematics, Statistics, Computer science, Information management, Finance or Economics
  • MOOCs, Bootcamps, self-guided learning courses on platforms like Coursera, Udacity, NPTEL, EdX etc.
  • Analytical skills
  • Problem-solving skills
  • Communication skills
  • Business skills
  • Generic programming skills
  • Model building and deployment skills

Diving Deeper: Subjects of Study

This science of collecting, processing and analysing data to solve problems requires a consistent interest and synergy. It is one of the most complex dimensions of data crunching. The major subjects of study that need profound emphasis have been discussed below.

  • Software engineering subjects like data structures, algorithms, distributed computing
  • Machine learning tools and techniques like ensemble methods, k-nearest neighbours
  • Statistical analysis
  • Mathematics
  • Data visualization
  • Data cleaning
  • SAS languages
  • Knowledge of Python, C/C++, Java, Perl
  • Cloud tools, SQL Databases, database querying languages
  • Industry knowledge

The Journey to Future: Career Prospects

The process of building a significantly higher range of energy products from different recommendation models involves not only big words but significant opportunities as well. From analysing statistical data on minute levels to discovering employment methods for them in solving problems, data science has wide career prospects some of which are given below.

  • Data Analyst
  • Business Analyst
  • Data Engineer
  • Qualitative Analyst
  • Data Scientist
  • Statistician
  • Data Architect
  • Marketing Analyst

Where to Look Forward to Recognized Institutes in India and abroad

While selecting programs to specialise in data science, one of the most important things to keep in mind is that the program provides ample learning opportunities, regarding theory and practice. The course's curriculum and the electives to choose from should be well-organised and simplified to the core. There should be strong industry collaborations and research opportunities to get maximum return on investment. Some of the colleges in India and abroad have been classified below that have a good reputation and are considered best to this day.



Please note that these institutes listed are only for the information. You are not to confuse this with an opinion that this platform is promoting these institutes, and these are prominent as per our research, we do not guarantee anything. One should do his/her research before selecting an institute.

Ways and Means: Entrance Exams and Their Criteria For Them

What one of the major thought processes every aspiring data analyst and data scientist must consider is the fact that they are genuinely interested in the subjects of study. One way of getting into the field of data science is by pursuing a subject of interest that includes software engineering, mathematics, statistics, economics or information management. Various institutions of national and international repute organise tests for entry into the courses that specialise data science.

In India, you can get off to a good start by clearing JEE and joining specialisations that consist of software engineering, mathematics, statistics etc. from reputed IITs and NITs. This will form a base for future endeavours in the field of data science. For students who are considering studies abroad, they can rely on taking SAT for Bachelors and GRE, GMAT or TOEFL for Master's degree.

The field of data science and data analytics carries with itself a hybrid approach in combining and filtering of useful data and providing analytical solutions to complex problems. With a wide range of applications in the fields of Internet, manufacturing, pharmaceutical industries, retail, insurance, and healthcare to name among the others, this dimension of science is on the way of bringing a revolutionary change in today's world.


Cinque Terre

Bhawna Aggarwal

Bhawna Aggarwal is a freelance content writer who has done her B.Tech from Dr B R Ambedkar National Institute of Technology Jalandhar, Punjab. According to Engineerbabu, she is one of the top freelance writers of India. Impressed with words and their charm, she started her journey as a freelance writer in 2012 along with engineering studies. She has worked with startups and big companies like Thrillophilia, Auxesis Group, WittyFeed, Lalaji24x7, Mettl, etc. Read some of her great works here​.