Data Science Fellows Programme

Great Learning, India’s leading EdTech company for working professionals has launched a new program, the Data Science Fellows Programme, aimed at providing unmatched learning and career outcomes to students and recent alumni (graduated less than 3 years ago) from the top 150 engineering colleges in the country. This competitive, seven-month programme will arm the learners with skills that are perfectly calibrated with premium jobs in Data Science and Analytics. With this program, Great Learning has made a strong commitment to invest in the learners’ future, and is offering a ‘PAY LATER’ option modelled on Income Sharing Agreements to students selected for the program. All qualified and interested candidates will have the opportunity to go through the rigorous evaluation process, including a 3-week preparatory bootcamp course called ‘DS Foundation Track’.

The Data Science Fellows Programme builds on Great Learning’s pedigree in Analytics and Machine Learning, where they have consistently been ranked the best in India. The programme will help learners transition to highly competitive roles such as Data Scientist, Business Analyst, Data Analyst, Data Engineer, and Machine Learning Engineer. Over the course of 7 months, learners hone these skills through quality learning material, personalized mentorship and support, rigorous assessments, and hands-on application of their learnings on industry-relevant problems and case studies.

While the demand for professionals in this field is high, organizations face a shortage of skilled professionals which is slowing down their business. This new program, introduced by Great Learning bridges this gap in applicable skills through multiple mini-projects, capstone projects and hackathons. Learners will also develop proficiency with tools and technologies such as Python, Tableau and SQL. While the Data Science Fellows Program is intense and comprehensive, it is also designed to allow participants to learn with minimal disruption to their professional and academic commitments. TNS