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Become Interview-Ready

for Data Science in Just 30 Days

Build real portfolio projects, master ML fundamentals, and confidently pass data science interviews — even if you’re starting from scratch.

Yes! Make Me Interview-Ready in 30 Days

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

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)

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“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 $497

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 $497

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

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📚 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

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✅ Module 1: Introduction to Data Science 

✅ Skill: Understand the full data science workflow.
💼 Business: Explain how companies use data to solve problems.
🧠 Interview: Answer “What is Data Science?” clearly and confidently.
📁 Portfolio: Create a visual map of the DS lifecycle.

✅ Module 2: Statistical Foundations 

✅ Skill: Analyze distributions and run core hypothesis tests.
💼 Business: Validate product and customer insights with data.
🧠 Interview: Explain p-values, confidence intervals, and errors.
📁 Portfolio: Build a stats notebook analyzing real patterns.

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✅ Module 3: Data Preparation & Exploration 

✅ Skill: Clean, encode, bin, impute, and balance messy data.
 💼 Business: Improve model accuracy on real enterprise datasets.
 🧠 Interview: Discuss encoding, outliers, and normalization trade-offs.
 📁 Portfolio: Produce a feature-ready dataset and EDA visuals.

✅ Module 4: Model Training & Evaluation

✅ Skill: Train, tune, validate, and compare ML models.
💼 Business: Predict churn, fraud, or demand with confidence.
🧠 Interview: Interpret ROC/AUC, confusion matrix, and metrics.
📁 Portfolio: Publish a classification model evaluation notebook.

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✅ Module 5: Feature Engineering & Selection

✅ Skill: Create, transform, and select high-impact features.
 💼 Business: Boost performance while reducing model complexity.
 🧠 Interview: Explain feature importance and selection techniques.
 📁 Portfolio: Compare model results before vs. after engineering.

✅ Module 6: Advanced ML Models & Techniques

✅ Skill: Apply LightGBM, clustering, and AutoML effectively.
 💼 Business: Build scalable models for large datasets.
 🧠 Interview: Compare trees, forests, and boosting strategies.
 📁 Portfolio: Show advanced model improvements and tuning results.

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📚 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

Placeholder Image

✅ Module 1: Introduction to Data Science 

✅ Skill: Understand the full data science workflow.
💼 Business: Explain how companies use data to solve problems.
🧠 Interview: Answer “What is Data Science?” clearly and confidently.
📁 Portfolio: Create a visual map of the DS lifecycle.

Placeholder Image

✅ Module 2: Statistical Foundations 

✅ Skill: Analyze distributions and run core hypothesis tests.
💼 Business: Validate product and customer insights with data.
🧠 Interview: Explain p-values, confidence intervals, and errors.
📁 Portfolio: Build a stats notebook analyzing real patterns.

Placeholder Image

✅ Module 3: Data Preparation & Exploration 

✅ Skill: Clean, encode, bin, impute, and balance messy data.
 💼 Business: Improve model accuracy on real enterprise datasets.
 🧠 Interview: Discuss encoding, outliers, and normalization trade-offs.
 📁 Portfolio: Produce a feature-ready dataset and EDA visuals.

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✅ Module 4: Model Training & Evaluation

✅ Skill: Train, tune, validate, and compare ML models.
💼 Business: Predict churn, fraud, or demand with confidence.
🧠 Interview: Interpret ROC/AUC, confusion matrix, and metrics.
📁 Portfolio: Publish a classification model evaluation notebook.

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✅ Module 5: Feature Engineering & Selection

✅ Skill: Create, transform, and select high-impact features.
 💼 Business: Boost performance while reducing model complexity.
 🧠 Interview: Explain feature importance and selection techniques.
 📁 Portfolio: Compare model results before vs. after engineering.

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✅ Module 6: Advanced ML Models & Techniques

✅ Skill: Apply LightGBM, clustering, and AutoML effectively.
 💼 Business: Build scalable models for large datasets.
 🧠 Interview: Compare trees, forests, and boosting strategies.
 📁 Portfolio: Show advanced model improvements and tuning results.

🔹 Your Day-by-Day Challenge Roadmap

Here’s a clear snapshot of how the next 30 days will unfold:

Day 1: What is Data Science?
Day 2: Machine Learning
Day 3: Probability distributions
Day 4: Hypothesis Testing
Day 5: Chi Square Test
Day 6: Bias-Variance Trade-off
Day 7: In-sample vs Out-of-Sample
Day 8: Outlier Detection
Day 9: Data Imputing
Day 10: Discretization
Day 11: Data Encoding
Day 12 & 13: Normalization
Day 14: Unbalanced Data
Day 15: Train-Test Split
Day 16: Linear Regression
Day 17: Decision Trees
Day 18: Random Forest
Day 19: Confusion Matrix
Day 20: Hyperparameters
Day 21: Cross Validation
Day 22: Feature Selection
Day 23 & 24: Feature Importance
Day 25: Evaluation Metrics
Day 26: LightGBM
Day 27: KMeans Clustering
Day 28: AutoML
Day 29 & 30: Prep Interview Questions

💰 Program Investment

You’ve seen what’s inside. Now let’s put it all together:

🚀 LET’S RECAP

✅ 30 Days of Step-by-Step Data Science Lessons (valued at $2,400)

✅ Plug-and-Play Databricks Notebooks & Templates (valued at $797)
Ready-to-use resources so you can learn by doing.

✅ Hands-On Real-World Projects (valued at $1,200)

✅ Weekly Live Coaching & Feedback (valued at $1,600)

✅ Private Data Science Community & Peer Network (priceless)

💡 Total Value: $6,000+

But your investment today is just:

🔥 $497

Yes! I’m Ready to Join the 30-Day Challenge

“Get full access to the 30-Day Challenge + community support.”

💥 ONE-TIME PAYMENT (Best Value)

Single Payment: $497 USD

Join the 30-Day Challenge for $497

✨ PAYMENT PLAN

2 Monthly Payments of $275 USD

Start Today for $275

✨ And because I want you to succeed even faster…

Here Are Your Exclusive Bonuses 🎁

🎁 Fast-Track Your Success With These Exclusive Bonuses

Bonus 1: 2 Months of Extended Community Access (valued at $197)

 Stay accountable after the 30 days with: 

  • Weekly 45-minute group coaching calls
  • A private peer network to share wins & stay motivated
Bonus 2: Plug-and-Play Code Templates (valued at $297)

Every lesson comes with ready-to-use notebooks so you can:

  • Save hours of setup
  • Focus on learning and building projects

 

Bonus 3: Interview Prep Toolkit (valued at $197)

Shortcut your interview prep with:

  • 1-page explainers for ML concepts
  • Proven Q&A templates to explain projects with confidence

🔥 That’s over $600 in extra value, included free when you join the 30-Day Data Science Challenge for just $497.

Yes! I Want My Spot + Bonuses at $497

Your special 5-Day participant price — bonuses included. Price increases to $697 soon.

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Not sure if you’re ready for the full 30 days?

 

You’ve already proven what you can accomplish in just 5 days. Imagine what you’ll unlock with focused guidance, real projects, and expert support.

 

And to make this a zero-risk decision, here’s my 14-Day Success Guarantee:

If you complete the 30-Day Data Science Challenge:

✅ You’ll graduate with one portfolio-ready project you can showcase on GitHub and talk through in interviews.

✅ You’ll be able to confidently explain 3 core ML algorithms and when to use them — in clear, hiring manager-friendly language.

✅ You’ll understand how to evaluate models using accuracy, precision, recall, F1, ROC/AUC, and explain trade-offs like a pro.

Go through the lessons and complete the guided exercises for 14 days.

If you’re not gaining foundational confidence, building your project components, and learning how to evaluate model performance…

👉 Just show your completed work, and I’ll refund your investment.

You take action. I take the risk.

Frequently Asked Questions

👇 Who This Is For / Not For

✅ This IS for you if…

  • • You want a portfolio fast (not endless theory)
  • • You want to speak confidently in real data interviews
  • • You prefer guided, challenge-based learning
  • • You’re ready to practice 30–45 mins/day
  • • You want to stand out against bootcamp graduates

❌ This is NOT for you if…

  • • You prefer 200+ hours of slow academic theory
  • • You want to just watch videos without doing projects
  • • You expect results without consistent practice
  • • You’re looking for a “magic certificate”
  • • You aren’t serious about landing real interview wins

💰 Program Investment

You’ve seen what’s inside. You’ve seen the support. Now let’s put it all together ⬇️

✅ LET’S RECAP

  • 30 Days of Step-by-Step Data Science Lessons (valued at $2,400)
    Bite-sized daily training that builds from beginner concepts to job-ready ML skills.
  • Plug-and-Play Code Templates & Databricks Notebooks (valued at $797)
    Save hours of setup with ready-to-use code you can run and adapt right away.
  • Hands-On Real-World Projects (valued at $1,200)
    Build portfolio-ready projects that prove your skills to hiring managers.
  • Weekly Live Group Coaching & Feedback (valued at $1,600)
    Ask questions, get unstuck, and stay accountable with direct guidance.

Private Data Science Community & Peer Network (priceless)
Connect with peers, share wins, and get motivated by others on the same journey.

🎁 PLUS — Your Exclusive Bonuses

  • BONUS 1: 2 Months Extended Community Access (valued at $197)
    Stay accountable after the 30 days with weekly live calls + peer support.
  • BONUS 2: Infographics / Exact Code Templates for All 30 Lessons (valued at $297)
    Every single lesson comes with plug-and-play code so you can focus on learning.
  • BONUS 3: Interview Prep Toolkit (valued at $197)
    Cheat sheets, answer templates, and guides to explain your projects with confidence.

💡 Total Program + Bonus Value: $6,000+
But your investment today is just:

🔥 $497 USD  (special 5-Day participant price)
(price increases to $697 soon)

Yes! I’m Ready to Join the 30-Day Challenge

Enroll today and secure your spot at $497 before it increases to $697.

 💥 ONE-TIME PAYMENT
 Single Payment: $497 USD

Join the 30-Day Challenge for $497

 ✨ PAYMENT PLAN
 2 Monthly Payments of $275 USD

 

Start Today for $275