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Free Data Science Webinar

Data Science in Action: From Rows to Recommendations

Wonder how Data Scientists build spot-on predictive models so quickly? Learn a super-easy technique to turn raw data into recommendations for your first Data Science project with this two-hour deep dive.

19th July, 2025
Saturday

6:30 PM - 8:30 PM GST
Weekend Webinar

Limited seats only!

What’s the Buzz About?

Crash course in common Data tools (SQL, Power BI & Excel)

Crash course in common Data tools (SQL, Power BI & Excel)

Step-by-step walkthrough of predictive modeling

Step-by-step walkthrough of predictive modeling

Tips & pointers for portfolio projects

Tips & pointers for portfolio projects

Real talk on careers and where the industry’s headed

Real talk on careers and where the industry’s headed

A shiny KGiSL Skill Development Certificate

A shiny KGiSL Skill Development Certificate

Who Can Enroll?

Undergraduates, fresh graduates & postgraduates

Undergraduates, fresh graduates & postgraduates

Data Science enthusiasts

Data Science enthusiasts

Career switchers

Career switchers

Aspiring tech entrepreneurs

Aspiring tech entrepreneurs

Ms. Sasikala R
ex-Data Scientist

Meet your Instructor

Ms. Sasikala R is an ex-Data Scientist with experience working for several European tech firms. She is currently helping thousands of young professionals, career-switchers, and students find their footing in the vast domains of Data Analytics and Data Science. Ms. Sasikala holds a Master’s degree in Applied Data Science from the University of Essex, UK.

Frequently Asked Questions (FAQs)

If you are interested in Data Science, you are welcome to attend! You don’t need to have an IT degree; just bring your curiosity and love for learning!

Yes! All attendees who participate actively and follow the entire live webinar will receive a certificate of completion.

A reliable internet connection and a computer or mobile device with audio are all you'll need to participate. No particular software or microphone configuration is required.

Of course! Your classmates and coworkers are welcome to join separately since each person who registers receives their own access link.