image
By Asia Education Review Team , Thursday, 20 July 2023 05:32:08 PM

Geekster the Upskilling Platform Unveils Fresh Program for Machine Learning and Data Science

  • The purpose of the data science and machine learning program intends to serve students with practical experience through more than 25 real-world projects, 500+ live learning sessions involving company professionals, and personalized guidance. A 360-degree curriculum in Data Science and Machine Learning has been introduced by the online learning and skill-upgrading platform Geekster. Geekster guarantees that it will provide a complete education for aspiring data scientists who want to advance their professional lives in today's technology-driven corporate culture and be the force that drives behind the potential of a 150% industry rise. In the official release, the Data Science and Machine Learning program has been specially created to provide a learning experience with more than 25 real-life assignments, 500+ live hours of instruction with industry professionals, coupled with personal mentoring for the students.

    “The aim behind expanding our offering to this emergent area has been to help learners grab lucrative opportunities, given that Data Science has rapidly become ubiquitous in almost every domain. Much like our full stack development course, our pedagogic approach will be focused on delivering tangible outcomes for our learners. Our expert mentors ensure that individuals from diverse backgrounds are groomed from scratch to succeed in the industry, and we spare no effort in preparing students for successful placements”, Sahil Miglanii, co-founder, Geekster, mentioned.

    The job placement statistics for the full stack program, as stated by Geekster, vary between a median package of Rs 8.2 LPA up to the highest-paid package of Rs 33 LPA. Major employers typically engage in the employment drive, mentioned in the statement, including Paypal, Genpact, Shiprocket, Skillgigs, Airtel, Rakuten, and Amazon, among others.

🍪 Do you like Cookies?

We use cookies to ensure you get the best experience on our website. Read more...