India has seen a tremendous rise in demand for data science professionals across varied industry sectors at a time when the demand for other skills has witnessed a slow growth. According to a report by Nasscom, by 2021, the total Data Science, & AI job openings in India is estimated to go up by 2,30,000. But the fresh employable talent or university talent available will be just 90,000, leaving a huge gap of 1,40,000. The reason for this increase in demand is an exponential increase in data. There is a massive data revolution that has transformed the industries around the world. Data is the fuel that drives the industry.
Previously, major companies and industries would rely on experiences and their “gut-feeling” to make major decisions. However, this often backfired and caused heavy losses to the industries. With the advent of Data Science, however, industries can make careful data-driven decisions.
With the help of data science, industries can analyze trends in the market, make careful decisions and analyze the various risks involved. Data Science has facilitated rapid growth in industries and has minimized their losses. Earlier Data Science was predominately used by Pharma and Ecommerce companies, but now almost all the companies are using Data Science to build a competitive edge. This has led to a rise in demand for many data scientists. This has, therefore, contributed to having data science become a career in the future.
With the broader application of Data Science and Machine Learning in every field, the industry has been facing a shortage of required talent pool. To bridge this gap, several training programs have emerged; especially online. The online programs are however plagued by low completion rates. A recent study by academics at the Massachusetts Institute of Technology found that online courses had an astronomical dropout rate of about 96 percent on an average over five years. Most classroom programs on AI and DS are based on the traditional method where a trainer delivers lectures and all students are expected to learn at the same pace. This has the age-old issue that the majority of students don’t learn and almost no one can apply the concepts in the real world.
IMS Proschool - India’s leading training provider in the Analytics field is breaking new ground. It has introduced an innovative “Active Learning” method for teaching Data Science and Machine Learning courses. Active Learning breaks down learning into three stages: awareness, understanding, and application.
In Active Learning, students get the awareness of the concepts by watching a pre-recorded lecture either in the classroom or at home. After the initial lesson, the students form a group and solve a problem statement under the guidance of a faculty that builds understanding. The group then solves real-life cases, a process that takes him to the application level. The classroom and its activities resemble more like a workstation in an office, rather than the traditional classroom. Sanjay Chaudhary, CEO IMS Proschool says “Scale is important, but it is more crucial that the program is effective”.
Abhinav Srivastava, who was rated as top 20 Academician in Analytics fields, summarised it beautifully. He said that in online/traditional learning, students learn which algorithms to apply to datasets, whereas in Active Learning, they move further and learn why not to use the remaining algorithms.
Amaan Lakhani, a student at Proschool, explains what benefits he sees in Active Learning over Online Learning. “For beginners, who are new to data Science, learning through online would be difficult because most of the concepts are very complex and if you are stuck then there is no one to address the specific issue that you face. Traditional Classrooms utilize most of the time in understanding the concepts and in course completion. On the other hand, in Active Learning, each participant can learn the concepts at his own pace and can give more time to actual problem solving with mentorship from industry experts.”
Adoption of active learning in Proschool classrooms has seen completion rate surge from 30% to 70 %. Proschool has recently been ranked 4th by Analytics India Magazine and has trained over 25,000 working professionals in 10 cities across India.
Proschool offers short term, skill enhancement, and employment-oriented programs in Business Analytics and Data Science. Their courses cover from fundamentals to advanced topics and include Machine Learning Algorithms, Neural Network, Big Data – Hadoop, Analytical tools like R and Python, Business Visualization tools like Tableau and Power BI and Public cloud Services like Microsoft Azure. Proschool is also actively working with corporates to update the curriculum to keep it industry-relevant.