6 weeks to Become

Data Science Interview-Ready in Just 30 Days

Master the ML skills interviewers test for, build real-world projects hiring managers want to see, and sharpen your answers so you walk into interviews with confidence.

Yes! Make Me Interview-Ready in 30 Days

Your 5-Day win was just the start. Here’s where you get job-ready.

6 weeks to xyz transformation

PROGRAM NAME

How does your course/ membership/ coaching make your ideal client's life better?

ENROLL NOW >

From 5-Day win → job-ready — build the portfolio and confidence hiring managers expect.

🤔 Have you been wondering why your 5-Day win still doesn’t feel “enough”?

You did it. 🎉

You finished your first ML project in 5 days. You proved you can learn by doing.

But if you’re honest, you still feel the gap:

One project isn’t a portfolio. You know interviewers will expect more.

Decision Trees were a start. But you still need feature engineering, Random Forests, LightGBM, clustering, statistics… the real interview material.

Confidence isn’t automatic. You built something — but explaining it in an interview still feels scary.

Momentum fades fast. Without accountability, it’s easy to stop after a win and slide back into confusion.

✨ What you really want now

To go from a single starter project → a portfolio of real, job-ready projects.
To know the ML concepts interviewers actually test for — and how to explain them.
To practice with mentors + peers so you never feel alone.
To keep your momentum alive with a structured, daily challenge.
To finally be confident saying “Yes, I’m ready for interviews.”

🌟 Imagine if…

In just 30 days, you upgraded from “I built one project” → “I have a portfolio I’m proud of.”
You mastered the techniques hiring managers expect: feature engineering, model tuning, AutoML, clustering, interview explanations.
You had 2 months of extended community support to keep you accountable.
You could sit in an interview and confidently explain not only what you built, but also why it matters to a business.
You finally felt job-ready, not just “dabbling.”

👉 That’s what the 30-Day Data Science Challenge gives you — the next step after your 5-Day win.

And the good news?

Your 5-Day win was just the start — you don’t have to climb the rest alone.

Introducing: The 30-Day Data Science Challenge 🚀
(from aspirant → interview-ready in just one month)

“This isn’t another course.
It’s a hands-on, day-by-day challenge designed to take you from learning in theory… to building real projects you can show in interviews.

Over the next 30 days, you’ll:

Build multiple real-world ML projects (beyond the Decision Tree starter).

Master the exact skills hiring managers test for (feature engineering, Random Forests, LightGBM, clustering, interview Q&A).

Stay on track with daily structure + community accountability.

Get coaching + feedback so you never feel stuck.

👉 By the end, you won’t just know data science.
You’ll be able to show it, explain it, and land interviews with confidence.

Enroll Now & Lock in $697

Your Special 5-Day Participant Price — enroll today before it increases to $697.

Waiting for you inside

Self-Paced Video Training

Daily, Bite-Sized Lessons
Learn step by step with short, focused videos that fit into your busy life. No fluff, no wasted time — just the exact ML concepts and interview-ready skills you need.

Hands-On Projects & Code Templates

Real-World Practice, Ready to Use
Work on real datasets inside Databricks, guided with plug-and-play notebooks and templates. Build projects you can add straight into your portfolio — without wasting hours setting things up.

Coaching & Community

Accountability + Support
Never learn alone. Get feedback from mentors, share progress with peers, and join live discussions so you stay motivated and always know your next step.

Enroll Now & Lock in $697

Your Special 5-Day Participant Price — enroll today before it increases to $697.

📚 What You’ll Learn in 30 Days

This isn’t just another course with endless theory.
It’s a step-by-step challenge where every single day is mapped out for you — so you always know exactly what to do next.

🔹 6 Core Modules

💡 Module 1: Introduction to Data Science

Discover what Data Science really is

Explore 7 real-world applications you can relate to

📊 Module 2: Statistical Foundations

Master probability, hypothesis testing & chi-square

Understand bias-variance and sampling pitfalls

🧹 Module 3: Data Preparation & Exploration

Handle outliers, missing data & imputation

Learn encoding, normalization, standardization
Deal with unbalanced data the right way

⚙️ Module 4: Model Training & Evaluation

Learn train-test split & cross-validation
Build decision trees and random forests
Tune hyperparameters for stronger models

🎯 Module 5: Feature Engineering & Selection

Apply feature selection methods
Understand feature importance (model-based & agnostic)

🚀 Module 6: Advanced ML Models & Techniques

Train LightGBM models

Perform clustering with K-Means
Explore AutoML for faster experimentation