From Portfolio to Practice: Building a Real-World Data Analytics Project
Most aspiring data analysts know they need a portfolio, but very few know what actually impresses hiring managers or how analytics work in a real corporate setting.
In this live, hands-on workshop, Chris Perry and Sai Bysani will walk you through how to think about, build, and present a data analytics project the way professionals do on the job.
This is not a theory-heavy session. You’ll see real tools, real workflows, and real decision-making, exactly how analytics is practiced in the industry today.
What you’ll learn
Why portfolios matter, and what hiring managers actually look for
How to choose the right projects for data analyst roles
How to structure an end-to-end analytics project
How tools like SQL, Tableau, Python, and spreadsheets are used together in a real workflow
How to tell a compelling story with data and tie insights to business outcomes
Live, hands-on project build
In the second half of the session, we will build a complete analytics project live, walking through:
Data ingestion and preparation
Analysis using SQL/Python
Visualization and dashboarding
Explaining why each decision is made along the way
You’ll see how multiple technologies come together, just like they do in real analyst roles.
Format & agenda (2 hours)
30–40 mins: Portfolio strategy, project selection, and storytelling
~60 mins: Live project build (hands-on walkthrough)
15 mins: Q&A
Who this is for
Aspiring and early-career data analysts
Career switchers breaking into analytics
Analysts who want to level up their portfolio and real-world skills
What you’ll walk away with
A clear framework to build or improve your analytics portfolio
A real example of an end-to-end analytics project
Practical insight into how analytics is done in corporate environments
Actionable next steps you can apply immediately