How to make career in data science?

Career Coaching
#1

How to make career in data science?

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#2
  1. Start with Online Introductory courses or MOOCS. We at BoardInfinity provide a lot of free introductory stuff for Data science.
  2. Attend the Datascience webinars conducted online.
  3. Read blogs available on medium.com and towardsdatascience.com
  4. Start coding and get acquainted with data science tools.
  5. Practice on real world projects
  6. Connect with people hiring for data scientists via linkedin.
#3

If you go looking to learn data science from independent blogs and videos then you will have a hard time. The information there isn’t sorted at all. More than that it isn’t even assessed by experienced individuals. You are better off learning from a respected institute like Board Infinity. They offer a Diploma program in data science.
The experts at IB have made a curriculum that is industry-oriented. So you get the knowledge that is known and utilized around the industry. So rather than getting confused with the wide spread data, join Board Infinty and learn with focus.

#4

Data science has emerged to become one of the world’s most influential emerging technologies. Recruiters are seeking people with data science abilities and understanding these days. Entering the field of data science can be highly lucrative and beneficial to your career. As a recent graduate, you’re probably curious about the various data science career options and which firms are actively hiring.

Below are some roles that freshers and beginners can target in Data Science.

Data Analyst:

Any graduate can start their career in data analytics. The roles normally include recognizing the requirements of investment analysts, examining multiple data sources for any potential inconsistencies or errors, carrying out data research projects and data gathering, analysis, and report interpretation. The sectors one can aim for are banking, consulting. financial sectors etc.

Software Engineer: Data Platform

In the media industry, the audience sentiments and recent talks are always a train to catch. Recruiters in this industry look for candidates who can develop distributed systems that are durable, performant, and well tested. Using data to identify post interactions in real-time and unifying the batch process. Verification of the platform user actions like repost, new topics and categorizing the same

Research Analyst for Business Development

Working on techniques to gather and research data like qualitative, quantitative, structured, and unstructured. Verifying, validating, and organizing the same, getting high-quality outputs for varied related projects. Compiling the data sets and providing research material to departments in consideration

Cloud Engineer

This role is suited for freshers who have a bachelors in statistics, CS or maths. The role will deal with brainstorming and developing the technical architecture for various enterprise-level IaaS and PaaS solutions and deploying them.