SkillEnable Offers Scholarships Up To 1 Lakh To Encourage Young Minds In Data Science

Leading employability-based-tech academy, SkillEnable, will be providing scholarships up to 1 lakh per student in the financial year 2022, in its pursuit to encourage young minds to pursue data science as their career path. The scholarships will be allocated to as many as 500 students from across the country.

SkillEnable has set up an intensive merit-based selection process to identify a student’s strong aptitude for data science, which will make them eligible for the scholarship. Students can attempt the scholarship eligibility test soon after the admission process. The scholarships can be availed for SkillEnable’s Deep Dive in Data Science, AI and ML courses.

SkillEnable is a leading player in nurturing the best data scientists in the country while also bridging the gap between the industry-ready candidates with relevant skill sets in the data science industry. 

Nirpeksh Kumbhat, Founder, SkillEnable, “The prime focus of the academy is to enhance employment opportunities for eligible and talented candidates. SkillEnable provides its students with job-relevant skill set training, networking skills, interview practice and other employability enhancing tools.”

Even during the pandemic, amidst several unforeseen challenges, SkillEnable emerged triumphant with a steep 200 per cent growth. Last year, the academy touched new heights with a 91 per cent batch placement with the average CTC of fresher’s being 7 lakh p.a. and the highest being 14 lakh p.a., among experienced professionals, SkillEnable-trained candidates bagged an average salary of 12 lakh p.a. with the highest being 20.4 lakh p.a.

Current Employment and Unemployment Situation

The Centre for Monitoring Indian Economy's monthly time series data revealed that the overall unemployment rate in India was 8.10 per cent in February 2022, which fell to 7.6 per cent in March. In April 2021, the overall unemployment rate was 7.97 per cent and shot up to 11.84 per cent in May last year.

 Any vision of the future has to be rooted in the current reality and policies and processes have to be identified to bridge the gap between the current reality and the future vision. It is, therefore, essential to have an understanding of the broad employment picture as it exists today, which would also indicate the directions for improvement in future.

NITI Aayog’s numbers have a different story to tell; 7.32 % of the labour force, in the year 1999-2000, was unemployed. In absolute terms these numbers of unemployed stood at 26.58 million since the above estimates are on current daily status basis, the number of unemployed also includes the number of those who are underemployed in terms of underutilization of the labour time. But it excludes such underemployed who are working at very low levels of income and productivity.

Only about 8 % of the total employment is in the organised sector. More than 90 % are engaged in informal sector activities, which are largely outside the reach of any social security benefits and also suffer from many 2 handicaps in the form of limited access to institutional facilities and other support facilities. The educational and skill profile of the existing workforce is very poor.