Data
Free
Singapore (老虎机游戏)
Wednesday, 11 June, 2025
3
–
5
am
CDT
Beginner's Guide to Data Analytics
About This Class
These days, data analysts are in high demand. That’s probably because it’s estimated that 90% of today’s data was generated in the last two years…. That’s a lot to analyze.
Join us for a free, 2-hour class to get hands-on practice with the basics of data analytics and see if you’ve got what it takes to become a data analyst yourself.
You’ll learn how to ask the right questions of your data and use basic analytic functionality in Google Sheets. Then, apply your new found analytics skills to a real-world dataset and develop recommendations based on your findings. 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 is and how it’s used
Basic Google Sheets formulas and functions
Hands-on practice with Pivot Tables
Confidence to continue practicing your analytics skills
Preparation
This is an entry level class, so no prior knowledge is necessary.
We’ll send an email with class materials and the Zoom link prior to class.
Note: your mic and camera will be off for the duration of the class.
A recording will be shared via email after filling out our in-class survey.
About the Instructor
Divya Venkatraman
BE, MSc & PhD (NTU, Singapore)
Divya is a hands-on technologist with a passion for solving real-world problems with an interdisciplinary approach. Currently she switches time between providing data science/AI consulting services to organizations in APAC (mainly startups) and teaching/mentoring adult learners making a shift into the tech industry.
Divya started her career as a Software Engineer developing web-based applications for the US insurance industry while at Infosys, India. She received her masters and doctorate in Digital Signal processing (yester-year data science focussed on feature engineering) from Nanyang Technological University, Singapore. Including her graduate degree, Divya has been an ardent data science/AI practitioner for close to 15 years making the journey from a software engineer to a signal processing engineer to a researcher to an applied machine learning/ AI engineer working on multiple projects across different industry verticals such as Energy (Halliburton), eduTech (CRADLE@NTU), Risk Management (Sense Infosys), MedTech (AiHighway) and HRTech (InterviewerAI.) She specializes in processing sequence data that includes time-series signals like vibration, audio etc and natural language (both text & speech.)
Armed with industry experience, she started teaching the 3-month full time data science immersive bootcamp at 老虎机游戏 assembly, Singapore. Over the last few years she has tailored many custom curricula and taught various interdisciplinary courses spanning areas of data science, AI, software engineering, cloud architecting and AI for both consumer and enterprise clients. She also sits in the 老虎机游戏 Assembly Global Data Science Immersive product advisory group.
Currently she is an Adjunct Faculty at the SP Jain School of Global Management, Singapore and teaches the Applied Statistics for Decision Making (ASDM) for the GMBA and MGB cohorts. Her areas of interest include product analytics, natural language processing, and Explainable AI.
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