Wednesday, June 2, 2021

Interactive Session on Data Science: A Roadmap to Future Predictions

 



In today's busy world everyone is in the need for ready-to-use commodities, whether it be consumer goods or content for research. Keeping in mind the requirements of our growing population, eminent economists and scientists introduced the concept of data sciences. Theoretically, data science is the extraction of actionable insights from raw data. So what we find on the internet in the form of processed data to study or research about something is all made available with the help of data science.

Data science involves a plethora of disciplines and areas of expertise to produce a holistic, thorough, and refined look into raw data. Data scientists must be skilled in everything from data engineering, math, statistics, advanced computing, and visualizations to be able to effectively sift through muddled masses of information and communicate only the most vital bits that will help drive innovation and efficiency. With the motive of making the students understand the concept of data science in more detail, the Department of Economics and Psychology conducted an interactive session on 28th November 2020 on the online platform Google Meet.


Mr. Shubham Saxena, an alumnus of the St. Xavier's College, Jaipur who is currently working as an Analytics Advisor (Data Sciences) at Think analytics Pvt. Ltd., Mumbai was invited as the resource person. The coordinator for the session was Ms. Sunita Choudhary. 

The event commenced with a formal introduction of Mr. Shubham Saxena, following which he talked about the concept of data sciences in detail. The detailed discussion on the topic included the explanation of what is data sciences, why is data sciences so important, how is it useful, where is it used and what are the different career options in being a data scientist. Through the discussion, a major confusion of the difference between a data scientist and a data analyst was solved. 

The session further included a question-answer session with Mr. Shubham. The questions put forth by the students filled more enthusiasm in the session and the active participation showed the zeal of the students to understand the concept. The session also talked about the use of various catalysts to understand data sciences, some of them include R programming, Python, etc. The interaction also helped the participants to gain knowledge about the use of data science in Fintech and how the massive databases can be analyzed with the help of this science.

The session concluded with an explanation of the importance of data science in the post COVID-19 era and the significance it will hold in the coming times.

Overall the event turned out to be a great success.


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