Key takeaways
- The demand for data science professionals has significantly increased, with a notable rise in freshers joining the analytics workforce.
- Aspirants face challenges in navigating the expectations of companies for diverse skills in data science roles.
- Educational institutions offer a variety of programmes, making it difficult for candidates to identify the most suitable path for their career transition.
- The webinar aims to provide clarity on how to approach a career in data science with insights from industry and academic experts.
The demand for data science professionals is at an all-time high. Around 22,000 freshers were added to analytics workforce in India this year, an increase of 37% from 2018 according to the data science industry study conducted by Analytics India Magazine and Praxis.
While there is much excitement in the market, there is an equal amount of confusion as well regarding how one should really transition to the field. On one side the expectations of the companies are huge. When we look at the JDs, we see requirements of a ‘rockstar’ full-stack data scientist who knows everything, from statistics to machine learning, from model development to business development.
On the other side, we see educational institutes and training institutes offering a wide spectrum of programs - from comprehensive long duration programs to specific short duration capsules in full time, hybrid and online mode. The candidates aspiring to step into the domain find it hard to demystify the jargon and identify a path suitable for them to upskill themselves and transition to a successful career in the filed. Register for the webinar here.
AIM brings to you two stalwarts - one from the industry and another from academia to give the aspirants clarity about how to make their data science move.
Register for the webinar here.
Your key takeaways from the webinar:
- What are the skills needed to be successful in data science - soft skills and hard skills?
- How does one assess if one is suitable for a career in data science?
- How does one embark on the data science journey?
- Shivaram KR
- Charanpreet Singh




