FREE In-Person Class | Beginner's Guide to Data Science

Free
Wednesday, 6 March, 2024
5:30 7:30 am EST
GA Singapore Campus | 79 Anson Road
General Assembly @ 79 Anson Level 20. 79 Anson Road Singapore, 079906
Singapore

About This Workshop

It’s predicted that demand for data scientists will grow 36% from 2021 to 2031, according to the Bureau of Labor Statistics. If you’ve been considering a career in data science, that’s a pretty promising stat.

Join us for a free, 2-hour class, to get hands-on practice with the basics of Data Science and see if you’ve got what it takes to become a data scientist yourself.

You’ll learn the fundamentals of data science and how different industries are applying its predictive power to improve their bottom line. Then, get hands-on practice with predictive models using a real-world dataset. Bonus: there will be time at the end for live Q&A with the instructor.

We’ll see you in class.

Takeaways

You’ll leave this class with:

  • An understanding of what data science is and some of its broader industry applications
  • Basic knowledge of the differences between supervised and unsupervised machine learning algorithms.
  • Practice with quantitative, data-driven analysis
  • Confidence to continue learning data science

Preparation

This class is a free in-person session taking place at General Assembly Singapore Campus. Please only register if you are able to attend in-person. There will be no recording available.

About the Instructor

Kishan S. Photo

Managing Director at Analytico Asia, Lead Data Science Instructor at General Assembly

Kishan is a seasoned data and marketing professional with a proven track record across all key areas of digital including Data Mining, Data Science, Data Visualisation, Data-Driven Transformation, Sentiment Analysis, Data Storytelling, Web Analytics, Social Analytics, App Analytics, Advanced Analytics, Omni-channel Tracking, Paid Social, SEO, SEM, CRM, E-Commerce, and Digital Strategy

He has worked for 4 of the world's leading digital technology agencies: Amobee, Golin, Datalicious, and Socialbakers. Throughout his career, he has managed hundreds of digital campaigns and built several digital teams from ground-up, working with a diverse portfolio of local and global companies – including some of the world’s biggest brands: McDonalds, Sony, Prudential, Volkswagen, and Cartier.

Kishan also has extensive hands-on experience in Data Science where he has worked with E-Commerce and FMCG clients to build Machine Learning models to enhance the performance of product recommendation engines and drive profitability of product bundles among other areas.

He has also previously worked as a data scientist, automating data extraction from Weibo and Taobao to measure the impact of online retailers' social media marketing strategies on consumer engagement and sales performance using quantitative methods including random-effects panel regression.

Throughout the past decade, Kishan has also worked on other interesting Data Science projects including a predictive modelling app which allows users to find the number of parking lots at their destination for a given location and time slot. He also built an innovative sentiment analysis model for a software company to evaluate their customer satisfaction rate using data extracted and automated from customer support tickets.

Kishan's experience has also centred around managing business growth and day-day operations for data-driven marketing start-ups in Asia. Having built and led several high-performance digital teams and programs in the past decade, Kishan combines management experience with deep subject matter expertise across business analytics, data science and digital marketing. He is also highly skilled in leveraging MarTech to grow digital revenue and reduce customer churn for leading brands in Asia including Singtel and Globe Telecom.

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