Data Science & Machine Learning Bootcamp Jovian Raises $1.5M To Offer Mentorship To Their Growing Student Base

Jovian, a platform for data scientists to track and reproduce machine learning experiments, collaborate with teammates, and automate repetitive tasks, has recently announced that it has raised $1.5 million in Seed funding.

The round was led by Multiply Ventures, with participation from Y Combinator, Better Capital and prominent angels such as Kunal Shah, (Founder, CRED), Phanindra Sama, (Co-Founder, redBus), Aprameya Radhakrishna, (Co-Founder, Koo), Christian Oestlien, (Director, Product Management, YouTube), Anand Madhavan, (VP of Engineering, EverLaw), Aakrit Vaish, (Co-Founder and CEO, Haptik), and Ankit Bhati, (Co-Founder, Ola & Amnic).

With the fresh capital, the California and Bengaluru-based startup plans to expand their team of data science experts to enhance their curriculum and provide mentorship to their growing student base. It also plans to grow their engineering team and engage their data science community through courses, competitions, and learning resources.

Started in 2019 by Aakash N S and Siddhant Ujjain, Jovian’s flagship Data Science & Machine Learning bootcamp helps working professionals in programming or analytics make a career transition to data science. The platform also offers several free beginner-friendly courses and has a fast-growing community of more than 200,000 users from 180+ countries.

The company aims to help working professionals from STEM backgrounds upskill and make a career transition to data science.

Speaking about the company, Co-founder and CEO of Jovian, Aakash N S, said:

"There is a large and growing demand for data science talent around the world, and university programs have not been able to keep up. On the other hand, many people already have most of the skills required to become a data scientist: programming, math, and analytical thinking. So, we have crafted a 6-month part-time job-oriented data science training program for working professionals to help fill this gap."

Jovian has developed an industry-focused curriculum for data science and machine learning in collaboration with domain experts. The program is designed for part-time learning, with weekly classes and live Q&A over chat and video calls. Learners also get access to 1:1 mentorship sessions with industry experts and engage in weekly group discussions with their peers in a university-like environment. Learners build guided real-world projects, receive support in Resume writing and interview preparation, and get access to opportunities from its hiring partners and global alumni network.

Commenting on the latest development, Founding Partner of Multiply Ventures, Raveen Sastry, said:

"There is a massive shortage of data science talent globally and it’s doubling every two years. The engineers, researchers, and marketers of today will be the data scientists of tomorrow as increasing automation disrupts the jobs landscape over the next five years. Jovian solves this by upskilling industry professionals into data science professionals to reduce this massive gap. Upskilling is a continuous process and it's a core tenet of our investment strategy at Multiply ventures."

In the near future, the company also plans to offer programs for Data engineering, Deep Learning, and ML engineering.

In 2019, Jovian had raised $450,000 in a funding round led by Arka Venture Labs. The other investors who participated in the round include Better Capital, SenseAI, Axilor Ventures, and other individual angel investors from Silicon Valley.

About the Author
Author: Shalini Pathak
Shalini Pathak Shalini Pathak is a Staff Writer at EdTechReview (ETR) - India's leading edtech media & community. She has over four years of experience in media, covering different beats. Like all writers she's an enthusiastic reader first with a passion to create out of the box content, and an ability to write about any topic. As a part of the ETR team, she will cover the latest in the edtech industry with a focus on edtech startup stories and their funding.

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