Training program

How to Choose the Right Data Science Training Program

McKinsey & Co and Nasscom predicted that data and AI could add $ 500 billion to India’s GDP by 2025. With so much data being generated, the role of data scientists who can interpret and analyze the data for making informed decisions is all the more important in the world we live in today.

It makes being a data scientist one of the most sought after jobs in the world. And India is no exception. Once dubbed by Harvard Business School the “sexiest job of the 21st century,” the demand for data scientists has skyrocketed in recent times.

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Working on cutting edge technologies, solving complex problems and having great advantages in this field has made it a very attractive option for a career. This prompted professionals from other fields to rush into this field. But transitioning to a data science role from another domain can be a tricky road.

The basic skill set of a data scientist should include a thorough understanding of mathematical and statistical concepts, critical and logical thinking skills, programming skills, and a strong sense of storytelling through numbers. But how does an aspiring data scientist make such a transition?

The reality behind the hype

This is where training institutes come in and can serve as a support for aspirants to move from any other industry into the field of data science. Lately, there has been a huge influx of such training institutes claiming to make you data scientists through their various flagship courses. But the question remains: are these training institutes really making an impact to help people step into a data science role, or are they too good to be true? What should a student look for when taking such an important call during the transition phase?

Some of the big names in this training space include Greatlearning, Simplilearn, Upgrad, Scaler Academy, Codeninjas, Jigsaw Academy, IMSproschool and Ivy Professional School. Similar but smaller training institutes have sprung up in every nook and cranny of technology hubs like Bengaluru, Hyderabad, Gurgaon to meet the growing needs of more and more data scientists.

Most of these training institutes offer 12-24 month courses that start with the basics of data science and progress to advanced concepts, statistical packages, and programming skills to prepare aspirants for data jobs. scientist. Some even claim to prepare you for work in 3 to 6 months. This is where students need to be extra careful.

Arjun Nair, co-founder of Great Learning, says: “In the past, too, we have seen training institutes that have claimed things, but they are not able to deliver. Students who wish to take such courses need to deepen.

Also Read: Ranking The Best Data Science Courses In India

Deep dive before the dive

It highlights what students should look at and dive deep into when selecting a training institute.

These are:

  • How long have these institutes existed
  • The faculty that teaches the course
  • The people who run the institute
  • Feedback from alumni
  • How many alumni have made the promised transition
  • The wages they receive after the transition

A Quora user who took a data science training from a big name in this space writes anonymously, “I don’t recommend any certification courses ranging from 3 to 6 months and that too online. After all, how do you become a data scientist in 3 to 6 months? Almost all of these institutes only give 2 hours of classes on weekends, and I strongly believe that is not even enough at all to learn a few basic concepts of analysis.

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Even on the recruitment side, data scientists and senior managers believe that the false statements made by training institutes are useless. Karthik Murali, who works as a senior data scientist at a Chennai-based analytics company, in a Twitter post, explained the reality behind the data scientist hiring process.

Don’t fall for peer pressure

Murali believes that taking a single course for the entire field of data analytics / science or data engineering won’t help even reach the second round of interviews. He believes that these centers give a diploma or certificate but not a working knowledge of problem solving. “They don’t help solve business problems or teach the basics of a tool,” Karthik said.

He advises students not to fall under peer pressure and to choose wisely. He suggests entering the data science space by individually specializing in each skill like SQL, Python, R, from basics to advancements instead of following the path to rapid success through these courses.

For training institutes, Nair has sound advice. He thinks the only way for coaching institutes to survive in such a cutthroat space is to speak the truth and nothing else. They must make sure that they are doing everything they can to enable candidates to achieve the result they are looking for.

How to gain student trust:

A good data science training institute should offer must-have features that enable students to transform their careers. These include:

  • High quality faculty
  • Relevant and up-to-date content
  • Good concrete projects
  • Personalized support and feedback
  • Conduct an assessment credibly
  • Additional focus on career counseling, career support
  • Links with companies

As the field of data science looks attractive and experiences enormous growth in opportunities, any aspirant who wants to get into this field must dive deep and not blindly fall for the marketing gimmicks that training institutes are deploying to attract more. in addition to people taking their course. Thorough research will not only save you money and time, but will also help you tap the right resources to enter the field of data science.


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