Given the pandemic and the disruption in the job space, in addition to the increased threat of automation in the IT job market, AlmaBetter, a community and cohort-based data science e-learning platform allocates a Rs. 2 crores fund to encourage aspiring data science candidates. The company will train 25000 data scientists by March 2022 readying them for employment. The platform provides risk free education to upskill aspirants, making them job ready and guaranteeing placements addressing the job crunch in the space at minimum of INR 6 lac per annum.
A certain percentage of the 2 cr fund will also go towards scholarships based on merit, financial aid, paraphernalia like laptops and wifi connections towards students’ benefit.
With 2 lac applicants by 2022, the company will train 25000 data science aspirants in lieu of the 1,10,000 vacancies in the sector today. The company witnesses upto 70% aspirant applicants from non IT backgrounds.
AlmaBetter’s hiring portal, AlmaHire, is frequented by top brands ensuring a 100% placement for students and job-ready talent for their 200+ recruiting partners. The company records 70% of students being placed before the completion of their program.
Says AlmaBetter co-founder Shivam Dutta, “Financial risk associated with upskilling programs is a major concern among the Indian youth especially given the current pandemic. The risk free and guaranteed placement model will enable aspirants to build a tangible career and in turn a robust ecosystem for data science.”
With reference to the threat to the IT job market, he further adds, “With increased AI/ML powered automation, the job crunch in the industry will further heighten, making upskilling in data science a necessity to survive in the IT job market.”
AlmaBetter’s curriculum is reverse engineered considering the industry relevance and usage of concepts and tools in the data science domain. Furthermore, the students are edified by instructors hailing from premiere institutions and fortune 500 companies. By employing innovative and easy-to-grasp methods involving experiments, gamification, and real industry projects, they ensure optimal learning outcomes.