Master Data Science with Python, SQL & Machine Learning in Just 3 Months

Enroll in our 3-month Data Science course for fast-track learning. Master Python, SQL, Machine Learning & deploy models. Projects, certification & job support included.

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£1299

3-Month Data Science Course

Why Choose This Data Science Course?

Designed by industry experts, this program equips you with the practical data science skills employers actually look for—no fluff, just real-world learning.

Finish in just 3 Months

No fluff, just essential skills that matter in real-world AI jobs.

Taught by Experts

Learn from experienced Data Scientists and industry mentors actively working in AI.

Real Projects & Portfolio

Build real-world projects and create a GitHub-ready resume portfolio that stands out.

Job Assistance

Get help with resume building, LinkedIn optimization, and mock interviews for AI roles.

Built for Busy Learners

Designed to suit working professionals and final-year students with a flexible schedule.

Who Can Join This Course?

This program is designed for aspiring data professionals from different walks of life — whether you’re a student, a career switcher, or already in the workforce.

Final-Year Students

Advanced Interns Preparing for Industry Roles

Get job-ready before graduation. Build real-world projects, strengthen your resume, and prepare for your first data science role with confidence.

Working Professionals

Working Professionals

Upskill or pivot into data science roles without quitting your job. Our live sessions and flexible structure fit right into your busy schedule.

Career Switchers

Career Switchers

From finance, HR, or marketing? No problem. This course helps non-tech professionals make a smooth, guided transition into data science.

Math Stats Background

Math, Stats or Commerce Background

Your analytical mindset is an asset. We’ll help you apply it to Python, Machine Learning, and solving real-world business problems.

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3-Month Curriculum (12 Weeks)

Our structured learning path takes you from fundamentals to advanced with practical applications.

Month 1: Python, Data Analysis & Visualization

Week 1: Python for Data Science

Week 2: NumPy & Pandas

Week 3:Visualization + Git

Month 2: Statistics, SQL & Supervised ML

Week 4: Statistics & Probability

Week 5: SQL for Data Science

Week 6: ML – Regression & Classification

Month 3: Unsupervised ML, Capstone & Deployment

Week 7: Unsupervised Learning

Week 8: Capstone Planning

Week 9: Deployment + Job Prep

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Real-World Projects You'll Build

Apply your knowledge by building real-world applications that demonstrate your data science skills.

Loan Default Predictor
Logistic Regression, Imbalanced Data
Sales Forecast
Linear Regression, Time Series Basics
Customer Segmentation
K-Means, EDA, Dashboard
Resume Classifier
NLP + Feature Engineering
Capstone: ML Web App
End-to-End ML + Deployment

Tools Covered

Learn Industry-Standard Tools Used by Top Data Analysts

Excel Excel
SQL SQL
Python Python
Power BI Power BI
Pandas Pandas
NumPy NumPy
Matplotlib Matplotlib
GitHub GitHub

What’s Included

  • Live Instructor-Led Classes
  • Assignments & Feedback
  • Real Projects for Resume + GitHub
  • Capstone Project with Mentor Review
  • Job Assistance (Resume, LinkedIn, Mock Interviews)
  • Certification of Completion
Book Free Consultation

Pricing

Full Course Access

£1299

  • Live Session by Industry Experts
  • Real World Projects Implementation and GitHub Support
  • LIfe Time LMS Access
  • Resume Polishing

1:1 Mentorship

Add-on

Personalized guidance

+£199

  • Core ML debugging sessions (Logistic, KNN, Trees)
  • Advance SQL and NoSQL Database Query Processing
  • Stastics and Probablity Fundamentals Walkthrough

Job Support Pack

Add-on

Career acceleration

+£299

  • Mock Interviews for Data Analyst , Data Scienctist and similar roles
  • Live Job Alerts and Job Assistance
  • Job Referals With Premium Hiring Partners
  • Resume Guidance for Data Scientist , Bussiness Analyst and similar roles

What Our Learners Say

“Real-world datasets, practical models, and helpful mentorship. Exactly what I needed to upskill.”
James L.
James L., Manchester
“I loved the capstone project. Deploying a real ML model gave me confidence to speak up in technical meetings.”
Jason K.
Jason K., San Francisco
“The job prep sessions, especially mock interviews and LinkedIn tips, helped me land interviews in data roles.”
Neha D.
Neha D., Pune
“Perfect balance of theory and real-world application. My GitHub profile looks solid now.”
Pooja S.
Pooja S., Mumbai
“This course was structured better than most university modules I’ve seen. The learning pace was spot on.”
Sarah B.
Sarah B., London
“Coming from a non-tech background, I never thought I’d grasp ML so well. The mentors made it easy.”
Sourav G.
Sourav G., Delhi NCR
“Very supportive instructors. They clarified doubts and gave real feedback on assignments.”
Emily R.
Emily R., Austin
“From zero coding background to building ML models—this course made it possible in just 12 weeks.”
Anna C.
Anna C., Glasgow
“The way they explained machine learning concepts made everything click. I’ve already started using these skills at work.”
Raj P.
Raj P., Leicester
“This 3-month course helped me transition from Excel to Python and real data analysis. The resume support was a bonus!”
Ritika M.
Ritika M., Bangalore
“The hands-on projects were practical and challenging. I finally understand how machine learning works beyond theory.”
Ankit R.
Ankit R., Hyderabad
“As someone new to tech, the step-by-step structure and weekend classes made it totally doable.”
Linda T.
Linda T., Chicago
“I now understand how data drives decisions. Learned SQL, Python, and ML in just 3 months.”
Mike D.
Mike D., Seattle
“Straight to the point and career-focused. The projects helped me build a solid portfolio I now showcase during interviews.”
David S.
David S., New York
“The resume and GitHub guidance was invaluable. I feel job-ready now!”
Olivia H.
Olivia H., Birmingham

Master Data Science in Just 12 Weeks

Start your journey today with practical skills, real projects, and expert mentorship.

Register Now
Book a Free Mentor Call
Download Syllabus

Frequently Asked Questions?

Do I need prior coding experience?

Basic familiarity with Python or Excel is helpful, but not mandatory. We start from the fundamentals and offer full guidance with hands-on exercises throughout.

Will I receive a certificate?

Yes. Upon successful completion of the course and capstone project, you’ll get a Certificate of Completion. We’ll also help you publish your projects on GitHub to showcase your skills to recruiters.

What makes this course different from free content or YouTube?

Unlike random tutorials, this is a structured, mentor-led program that focuses on:

  • Real-world, deployable projects

  • Resume and portfolio development

  • Career mentorship and interview support
    It's built for serious learners who want real outcomes.

What if I miss a class?

No worries! Every session is recorded and uploaded to your learning portal. You’ll also get:

  • Mentor summaries

  • Assignments with feedback

  • A support group for Q&A

What projects will I work on?

  • You’ll build 7+ real projects including:

    • Loan Default Predictor

    • Sales Forecasting App

    • Resume Classifier

    • Customer Segmentation Dashboard

    • Capstone: End-to-End ML Web App with Deployment

    These projects are ideal for your GitHub portfolio and job applications.

What job assistance is included?

We offer full career support, including:

  • Resume and LinkedIn optimization

  • GitHub profile review

  • Mock interviews

  • Referrals and guidance for job applications

Who is this course ideal for?

The program is great for:

  • Professionals from non-coding or analytics backgrounds

  • Career switchers from finance, marketing, HR, etc.

  • Anyone wanting to learn Data Science the practical way

What tools & platforms will I use?

You’ll gain hands-on experience with:

  • Python, Pandas, NumPy, Matplotlib

  • Scikit-learn, Seaborn, Plotly

  • SQL (on cloud databases)

  • Git, GitHub, Jupyter

  • Flask or Streamlit for deployment

Is this course available internationally?

Yes. We accept learners from all over the world. Class timings are flexible for international students, and recordings are accessible anytime.

You can fill this form regarding job support, and our team will connect with you shortly.

Can I complete it at my own pace?

Live classes happen on weekends, but you’ll have lifetime access to recordings and materials. You can catch up or revisit anytime.

Do I need a Master's degree to become a Data Scientist?

Not necessarily. Recruiters focus on:

  • Your ability to build and explain ML models

  • A strong GitHub portfolio

  • Real-world projects (e.g., classification, recommendation systems)

  • Communication and problem-solving skills

Is there a customized version of this course for different roles?
Yes. We offer customized training paths for professionals like: Business Analysts, Project Managers, Product Managers.

You can fill this form regarding job support, and our team will connect with you shortly.

Do you provide job assistance abroad?


Yes! We offer global job assistance, including opportunities in Africa, USA, UK, and India. Our dedicated placement team helps you explore international openings aligned with your profile.

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