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Thursday 1 October 2020
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There’s Big Money In DATA SCIENCE

It is no secret that Data Science is the only field that has willed its impact into industries without regard to their sector or field. This is another reason why data science patches up a range of jobs to choose from for the students as well as aspirants. Venturing into the field of Data science can open up a variety of opportunities to your doorstep. And you wouldn’t want to miss out on this chance.

Some of the directions that the interdisciplinary field of data science can bring to you are as follows: 

  • Machine Learning Expert: 

Tasks: The tasks assigned to a Machine Learning Expert are inclusive of the making of algorithm systems and algorithms, and the development of learning solutions.

Skills / Techniques: The skills required for being a Machine Learning Expert include the knowledge of Machine learning programming, the understanding of concepts such as Statistics and Data.

  • Data Analyst:

Tasks: The tasks assigned to a Data Analyst include the exploration of data, hypothesis testing, discovery of correlations, patterns as well as associations. And lastly, they generate reports.

Skills / Techniques: The basic understanding of concepts such as Statistics, Mathematics. Knowledge pertaining to the business domain, understanding of Tableau, Structured Query Languages, and skills in Microsoft Excel are required to qualify for a Data Analyst.

  • Data Engineer

Tasks: The undertakings of a Data Engineer are inclusive of tasks such as programming, and the processing of large data sets, and lastly putting into implementation the requests of Data Scientists.

Skills / Techniques: The techniques required for qualifying as a Data engineer are understanding of programming languages such as Java, C, and C++, (SQL) Structured Query Languages, Non-Structured Query Languages (NOSQL) Python as well as R. 

  • Data Scientist

Tasks: The undertakings of a Data Scientist are inclusive of finding and coming up with solutions regarding Machine Learning, as well as the creation of algorithm and algorithm systems.

Skills / Techniques: A Data Scientist should be able to undertake jobs such as Analysis of the collected data, should have certain programming skills, and understanding of machine learning along with strong communication skills.

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The designations that Data Science leads to are as follows:

  • Data engineer
  • Data Architect
  • Data Scientist
  • Software Developer
  • Reporting Analyst
  • Big data Developer
  • MIS and DB Developer
  • Database Developer
  • MIS Analyst 
  • Statistician
  • Actuarial Scientist
  • Quality Analyst
  • Director of Analytics
  • Software programming Analyst
  • Senior Data Analyst
  • Research Scientist
  • Business Analyst
  • Business Intelligence Manager
  • Digital Analytic Consultant
  • Hadoop Developer
  • Business Analyst
  • Machine Learning Scientist
  • Mathematician
  • And Data Analyst

Some of the many companies that are willing to offer hefty amounts of pay out of their pockets for the post of a Data Scientist comprise of these – TCS, Fractal Analytics, Latent View, MU sigma, EX Analytics, Tiger Analytics, HCL, HDFC, Global Analytics, and lastly Crayon Data. 

Resource Box

Data Science can prove to be a drastic turn in your career. We at 360 digiTMG, strive to bring you the best and only the best experience in your venture into data science. Interested aspirants for data science course in hyderabad can contact us through our website, or social media handles.

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360DigiTMG – Data Science, Data Scientist Course Training in Bangalore

2nd Floor No, Vijay Mansion, 46, 7th Main Rd, Aswathapa Layout, Kalyan Nagar, Bengaluru, Karnataka 560043



Nilam Oswal

Nilam Oswal is a Content Marketing Head at SoftwareSuggest, as well as a gadget enthusiast. When she's not hard at work, she can be found wandering, reading and just generally having a good time in life. She writes about software such as Hotel Software, Project Management System.