6-Month Data Science Course with Job Support

Master Data Science in 6 Months with Live Mentorship and Job Assistance

Hands-on learning with Python, SQL, ML, AI & Data Visualization. Enroll now and start your journey.

£1999

Why Choose This Data Science Course?

Built for career transformation – guided by experts, powered by tools, and proven by results.

Learn from Industry Experts

Classes taught by experienced data scientists from leading companies in AI, ML, and analytics domains.

Hands-On Projects & Portfolio

Work on real-world projects and build a professional GitHub portfolio to showcase your data skills.

Career Support & Mentoring

Get personalized resume reviews, LinkedIn optimization, and mock interviews to prepare for job success.

Real-World Tools & Frameworks

Master industry-standard tools like Python, SQL, Power BI, Scikit-learn, Flask, and more.

Affordable Learning Plans

Learn without financial stress. Budget-friendly pricing with EMI options and full access to resources.

Weekly Assignments & Capstone

Reinforce concepts through regular assignments and complete a final capstone project for your portfolio.

Who Can Join This Course?

Whether you're a student, professional, or self-learner, this program helps you build a strong career in data.

Graduates & Final Year Students

From CS, IT, or analytical backgrounds? Start your journey in data analytics with job-focused skills.

Working Professionals

Transition into data analytics or BI roles by building strong foundations and real-world project experience.

Career Switchers

Coming from finance, marketing, or operations? This course helps you switch careers with full support.

Self-Learners

If you're learning on your own, gain structure, mentorship, and a project-backed portfolio to land roles.

6-Month Curriculum

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

Month 1: Python & Data Manipulation

Week 1: Python Programming Foundations

Week 2: Object-Oriented Programming & File Handling

Week 3: NumPy for Numerical Computing

Week 4: Pandas for Data Wrangling

Month 2: Data Visualization + Excel + Git

Week 5: Matplotlib Basics

Week 6: Seaborn + Excel

Week 7: Power BI / Tableau

Week 8: Git & GitHub

Month 3: SQL + Statistics

Week 9: SQL Fundamentals

Week 10: Intermediate SQL

Week 11: Window Functions + Real Queries

Week 12: Statistics for Data Science

Month 4: Machine Learning – Supervised

Week 13: ML Workflow & Linear Regression

Week 14: Classification with Logistic Regression

Week 15: Tree-based Models

Week 16: KNN + Evaluation Techniques

Month 5: Unsupervised + Advanced ML

Week 17: Clustering

Week 18: Dimensionality Reduction

Week 19: Ensemble Techniques

Week 20: Model Selection

Month 6: Capstone + Deployment + Job Prep

Week 21: Capstone Planning

Week 22: Model Development

Week 23: Deployment

Week 24: Job Preparation & Career Launch

Real-World Projects You'll Build

Apply your knowledge by building real-world applications that demonstrate your Data Science and analytics skills.

Sales Dashboard

Excel + Power BI

HR Analytics with SQL

PostgreSQL / SQLite

Credit Risk Prediction

Logistic Regression + Pandas

Customer Segmentation

KMeans + Seaborn + PCA

Resume Classifier (NLP)

Pandas + Scikit-learn + Flask

Capstone: ML Deployment App

Flask + Streamlit + GitHub Pages

Tools Covered

Master essential tools used by top data scientists, analysts, and AI engineers

Excel

SQL

Python

Power BI

Tableau

GitHub

Git

Jupyter

Seaborn

Matplotlib

Flask

Scikit-learn

What’s Included

Live Sessions + LMS Access
Weekly Assignments & Doubt Clearing
7+ Industry-Ready Projects
Capstone with Live Mentor Feedback
Certification of Completion
Resume, LinkedIn, and Interview Prep
Job Assistance via Referrals & Support

Pricing

Full Course Access

£1999

7+ Industry-Ready Projects
Certification of Completion
Lifetime LMS Access
Capstone Project with Deployment

1:1 Mentorship

Add-on

Personalized guidance

+£199

ML pipeline architecture mentoring
Data cleaning/EDA walkthroughs
Career roadmap: Analyst → DS progression

Job Support Pack

Add-on

Career acceleration

+£299

Project-based resume design (EDA, ML, stats)
Capstone interview simulation
Referrals through alumni/partner network

What Our Learners Say

“From SQL joins to creating a full business report in Power BI, this course taught me more than a semester in college.”

Derek Nguyen, Washington

“I took this course during my final year and added 4 projects to my portfolio. It helped me get shortlisted for a graduate role in analytics.”

Aditi Patel, London

“The pace was perfect. I appreciated the balance between theory and doing – especially the EDA and visualization sections.”

Jack Martin, Manchester

“I joined with just Excel knowledge. Now I’ve built dashboards, SQL queries, and even a classification model. This course really boosted my confidence!”

Neha Sharma, Delhi

“Never coded before, but I can now write Python scripts and build dashboards. Highly recommend it for career switchers!”

Sophie Turner, Bristol

“I loved the private discussion community — got doubts cleared quickly and even found a study buddy for my capstone!”

Sophie W., Leeds, UK

“The hands-on projects are the real gem here. By the end of week 6, I had built my own smart Q&A tool using everything we learned.”

Oliver M., Bristol, UK

Become a Data Scientist in 6 Months – Start Today!

Ready to build a portfolio, master data science tools, and unlock job opportunities?

Frequently Asked Questions?

Is this course beginner-friendly?

Yes, this is designed for beginners who are willing to put in consistent effort.

Will I get placement assistance?

Yes. You’ll get resume, GitHub, LinkedIn review, mock interviews, and referrals.

Are the classes live or pre-recorded?

The program includes live classes with instructors. Recordings and additional materials are available via LMS for self-paced review.

Will I receive a certificate after completion?

Yes, you will get a Certificate of Completion once you finish the course and capstone project.

What kind of job support will I get?

We provide resume building, LinkedIn optimization, GitHub portfolio review, mock interviews, and referral support from our hiring network.

What tools and technologies will I learn?

You’ll work with Python, SQL, Excel, Power BI, Tableau, Scikit-learn, Flask, Git, GitHub, and more. These are the tools data professionals use daily.

Will I be building real projects?

Yes, you’ll build 7+ industry-relevant projects including a capstone ML deployment project that goes in your GitHub portfolio.