Level Up Your Coding: SQL & Python for Real-World Data Work
You’ve learned the basics—now it’s time to code like a pro. Join our hands-on Weekend Masterclass to master production-ready SQL, Python, and OOP for data roles.
👋 Hey! This is Manisha Arora from PrepVector. Welcome to the Tech Growth Series, a newsletter that aims to bridge the gap between academic knowledge and practical aspects of data science. My goal is to simplify complicated data concepts, share my perspectives on the latest trends, and share my learnings from building and leading data teams.
You mastered SQL. Now it’s time to take your coding to the next level.
One of the most common blockers for aspiring data professionals isn’t just learning to code—it’s learning to think like a coder.
You’ve taken SQL courses, maybe ven written a few Pandas scripts. But when you're handed a real business problem, you wonder:
Where do I start? How do I structure my logic? Will this code hold up in a real interview or a production environment?
That’s exactly the gap we set out to clos.
Earlier this year, we launched the SQL Challenge—a hands-on, industry-focused experience designed to push you beyond textbook queries.
And the response?
Over 5,000 participants joined in. From working professionals to career switchers and final-year students—everyone showed up, learned, and leveled up.
But one thing became clear from the feedback:
Daily challenges were a great start—but they weren’t enough.
Participants loved the hands-on nature of the SQL Challenge, but many shared that they wanted to go deeper. They were looking for something more structured, something that could help them connect the dots between problem-solving and real-world coding expectations.
They didn’t just want to write working code—they wanted to understand how to write better code. Code that’s optimized, readable, and ready for interviews or production use.
Why We’re Launching the Coding Masterclass
To help you move from code snippets to coding confidence, we’re launching a 6-hour Weekend Coding Masterclass—a curated, real-world coding experience designed for data professionals who want to:
Build stronger SQL and Python foundations
Understand OOP for analytics and ML workflows
Learn how to write production-grade code
Prepare for technical interviews with confidence
Led by Siddarth Ranganathan, Manisha Arora and Sai Kumar Bysani, this session is not a generic tutorial. It’s a guided, hands-on masterclass that mirrors the challenges you’ll face in data science and engineering roles.
What You’ll Learn
This is not a bullet list of syntax. This is about shaping how you code.
You'll dive deep into:
🟦 Advanced SQL
Performance optimization, subquery vs. CTE tradeoffs, and real-world case studies in funnel analytics, retention, and time-window aggregations.
🐼 Python with Pandas
Data cleaning, aggregation, joins, and visual storytelling—all with real datasets and guided walkthroughs.
🧱 Object-Oriented Programming (OOP)
Learn how data professionals apply OOP to organize ML codebases, design pipelines, and reduce technical debt.
🧠 Best Practices + Interview Prep
We’ll break down common pitfalls, review how to explain your logic in interviews, and help you build habits that scale.
You’ll also get detailed SQL & Python resource packs, code templates, and recording access for revision.
Who Should Attend?
This masterclass is tailored for:
Aspiring Data Scientists and Engineers who know the basics but want to go deeper
SQL Challenge alumni looking to sharpen Python and OOP skills
Working professionals preparing for interviews or technical presentations
Students who want job-ready skills and clean code habits
Schedule:
🗓️ June 21 & 22 (Weekend)
🕒 11am – 2pm EST | 8am – 11am PST
📍 100% Live on Zoom
📂 Includes recordings, cheat sheets, and project templates
Special Discount for Students
To make this accessible, we’re offering 50% off for early signups.
🎟️ Use code EARLYBIRD at checkout:
👉 Sign up here
– The PrepVector Team
Built by Data Professionals, for Data Professionals
📘 Course Info
Upcoming Courses:
Master Product Sense and AB Testing, and learn to use statistical methods to drive product growth. I focus on inculcating a problem-solving mindset, and application of data-driven strategies, including A/B Testing, ML, and Causal Inference, to drive product growth.
AI/ML Projects for Data Professionals
Gain hands-on experience and build a portfolio of industry AI/ML projects. Scope ML Projects, get stakeholder buy-in, and execute the workflow from data exploration to model deployment. You will learn to use coding best practices to solve end-to-end AI/ML Projects to showcase to the employer or clients.
Not sure which course aligns with your goals? Send me a message on LinkedIn with your background and aspirations, and I'll help you find the best fit for your journey.