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Data Science

Frequently Asked Questions
Data science is more about extracting hidden insights from data to take business decisions.
Primarily analytics requires statistics, programming, and business knowledge. If you want to make a career in any one of these areas then you can choose the course.
One can become the data scientist by attaining good command on statistics, analytical programming & business knowledge.
Programming, Basic Hardware Understanding, Statistics, Visualization, Presentation and Domain Knowledge.
I heard there are many free blogs and courses online which can help me learning at my flexibility. At FinTech Studies, students are trained by corporate experts who will train the students to make the students industry facing. Nowadays, everyone has started creating their own blogs to share their experience and knowledge which can help but can’t give you the real life practical experience of real life Industrial Practices.
Data Science is broad and helps to mine the past data to get hidden insights and helps to develop the strategies whereas traditional statistical analysis is about representation of the past.
There are lots of sources available in the market to learn R but Fintech provides the training from scratch in systematic, simple and effective manner with real time case studies.
There are lots of sources available in the market to learn R but Fintech provides the training from scratch in systematic, simple and effective manner with real time case studies.
There are lots of sources available in the market to learn R but Fintech provides the training from scratch in systematic, simple and effective manner with real time case studies.
Tools in analytics keep changing based on the requirements. However, at present Python, R Studio, SAS & Tableau are the dominant tools along mandatory tools like Excel & SQL.
Both the tools have their own advantages and based on the requirement they will play a key role.
FinTech Studies Data Science curriculum is designed and developed in collaboration with Industry Professional, we cover what is in demand ready at the same time keep our student apprised of latest trend in the job market. Our training methodology focuses on job readiness, as well our association with the organisation equip us to handle all kind of Interview Scenarios and hence gives edge to our students over other entrants in this niche domain.
There are top companies, under various categories, e.g. IT & Retail, like Amazon, Infosys, Accenture, TCS, Walmart and in the Finance Industry, like Barclays, DBS, Bank of America etc.
Absolutely yes. As part of placement we will help in resume preparation with key words for better visibility, mock interviews etc. Please refer to brochure for more details.
It would be better to choose classroom training for data science because you can practice programming & statistical concepts under the supervision of trainer. Where as Online program specifically suited for those who have venue and means to practice the concepts themselves and have Geographical restriction to attend classroom program.