Go beyond tools to solve real business challenges. This AI-powered program builds job-ready analytics and data science skills with practical exposure and end-to-end career support.
Key differentiators that make our program the best investment for your career
Our graduates work at top tech companies, investment banks, and consulting firms worldwide.
Explore the career paths and opportunities learners can unlock after completing the program.
Use data-driven thinking to solve business problems and influence decisions.
⭐ Most PopularPotential industry salary range
₹8–15 LPA
Opportunity Level
Very High
Popular Industries
✓ Technology
✓ Finance
✓ Healthcare
Everything you need to learn, grow and get hired.
6 Months
Live + Self Paced
10+
Live Projects
95%
Placement Support
Small Batches
20 Students Per Batch
1:1
Personalized
Mentorship
No-Cost EMI
Flexible Payment Options
A comprehensive 24-week curriculum designed by industry experts
Build a strong spreadsheet foundation through data architecture, advanced formulas, relational lookups, summary engines, Pivot Tables and automated Power Query pipelines.
Move from spreadsheets to structured databases with normalization, SQL extraction, joins, CTEs, window functions and BI-ready Star Schema modeling.
Normalize a flat retail dataset, execute complex joins and window partitions, and build a verified schema model.
Develop executive-grade BI dashboards with DAX, time intelligence, interactive UI/UX, scheduled refreshes, Row-Level Security and What-If simulations.
Connect Power BI to a relational database, implement time intelligence and RLS, and deploy an interactive executive dashboard.
Use Python to automate file handling, spreadsheet workflows, error logging and operational notification systems.
Automate the processing of 50 regional sales sheets with formatting, merging, error logging and email status alerts.
Work with high-volume datasets using Pandas, advanced transformations, grouping, SQLAlchemy connections and automated database writes.
Clean, reshape and merge millions of records, bridge Python with SQL databases and write optimized analytics summaries.
Build statistical thinking with NumPy, distributions, A/B testing, inferential statistics, correlations and outlier remediation.
Identify transactional anomalies, validate marketing performance with inferential tests and accurately handle outlier signals using scipy frameworks.
Master local inference engines, prompt engineering, and private data processing frameworks for offline AI operations.
Deploy and optimize a local LLM engine, design prompt frameworks for code generation, and build secure data processing pipelines for confidential information.
Master enterprise APIs, structured AI outputs, and large-scale text analytics using cloud-native tools and frameworks.
Integrate Python with cloud APIs, enforce strict output validation, process large-scale unstructured data, and build resilient error handling systems.
Master data visualization, intelligent report generation, and production deployment for executive-ready analytics.
Build production-ready visualization pipelines, generate intelligent narratives, create interactive dashboards and deploy end-to-end reporting systems.
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Industry-standard tools you'll master throughout the program
Gain hands-on experience through real-world projects and build a portfolio that showcases practical skills employers value.
Predict which customers may stop using a service.
What You'll Build:
✓ Analyze real-world datasets
✓ Solve a business problem
✓ Create a portfolio-ready project
Tools You'll Learn:
Portfolio Ready Project →
Industry Grade Project →
Detect suspicious transactions in real time.
What You'll Build:
✓ Analyze real-world datasets
✓ Solve a business problem
✓ Create a portfolio-ready project
Tools You'll Learn:
Portfolio Ready Project →
Industry Grade Project →
Recommend products based on customer behavior.
What You'll Build:
✓ Analyze real-world datasets
✓ Solve a business problem
✓ Create a portfolio-ready project
Tools You'll Learn:
Portfolio Ready Project →
Industry Grade Project →
Data Science isn't just a technical skill—it's the fuel for innovation in every modern enterprise. Learn how to apply your expertise where it matters most.
Data Science helps financial institutions improve decisions, reduce risks, and improve customer experiences.
Ingest data from multiple sources via ETL.
Filter noise and handle missing values.
Discover patterns through deep exploration.
Train ML algorithms for predictions.
Design dashboards for executive insights.
Deploy at scale for business results.
Follow a structured roadmap from learning fundamentals to becoming a job-ready Data Science professional.
Learn Python and data basics
✓ Python
✓ NumPy
✓ Pandas
Turn raw data into insights
✓ Excel
✓ SQL
✓ Power BI
Discover trends and patterns
✓ Statistics
✓ EDA
✓ Probability
Build predictive models
✓ Regression
✓ Classification
✓ Scikit-Learn
Learn Deep Learning and NLP
✓ Neural Networks
✓ NLP
✓ AI Models
Work on real business cases
✓ Fraud Detection
✓ Churn Prediction
✓ Forecasting
Showcase your projects
✓ GitHub
✓ Resume
Practice real interview scenarios
✓ Mock Interview
✓ Aptitude
✓ Communication
Become career ready
✓ Career Guidance
✓ Hiring Support
✓ Placement Assistance
Complete real projects, build your portfolio, and prepare for career opportunities.
Real projects
Portfolio build
Interview prep
Practitioners who bring real work — not just slides — to every session.
Data AnalyticsBusiness Analytics @ IBM
Data comes alive when you ask the right question — not just run the right query.
Expert in Advanced Excel, Python, SQL, and Power BI. Corporate Trainer and Assistant Professor covering ML, EDA, and Deep Learning with actionable, insight-driven teaching.
Finance & ResearchCertified Research Analyst @ NISM
Sound financial decisions begin with disciplined research and rigorous modeling.
MBA Finance specialist in Equity Research, Financial Modeling, and Valuation. Helps learners understand market trends, investment opportunities, and data-driven decision making.
Data Science & CloudConsultant II @ IBM
Real-world data pipelines are built on clarity of thought — not just code.
Skilled in Python, SQL, BI tools, Big Data, AWS, and Azure. Builds scalable data pipelines and delivers performance-focused training aligned with industry needs.
Business AnalyticsSr. Business Analyst @ Bajaj Finserv
Data without context is just noise. Great analysts ask better questions.
10+ years in finance & analytics. Specialist in Power BI, Tableau, SQL, and Python — driving data-led decisions across financial services and lending domains.
HR & CareerLead HR @ Rallis India
Your skills get you the interview. Your professional presence gets you the offer.
12+ years in HR specializing in interview preparation, resume building, and corporate communication. Guides learners on hiring expectations, professional etiquette, and career readiness.
CS & EngineeringAssistant Professor @ GNIOT
Strong foundations build confident engineers. Theory and practice must go hand in hand.
8+ years in Computer Science & Engineering, specializing in practical, project-based teaching that bridges academia and industry.
AI & Machine LearningAI Engineer @ Cognizant
AI is only as powerful as the thinking behind it. Build solutions, not just models.
Cross-industry ML and cloud expertise across insurance, manufacturing, and e-commerce. End-to-end AI solutions on AWS and Azure.
7 industry experts shaping your learning journey
View AllEnd-to-end career support that goes beyond the classroom
Professional resume and LinkedIn profile optimization by industry experts. Get noticed by recruiters with ATS-optimized resumes.
Practice with 50+ mock interviews conducted by hiring managers from top companies. Get real-time feedback and improve.
Direct referrals to our extensive network of companies including FAANG, top banks, and unicorns.
Exclusive access to job openings shared only with our alumni network. Get referred directly to hiring managers.
1:1 career counseling sessions to identify your strengths, set goals, and chart your career path.
Placement support continues for 12 months after program completion. We stay with you until you land your dream job.
Placement Rate
Hiring Partners
Salary Range
Avg. Placement Time
Explore the professional credentials awarded upon successful completion of the program.
Real stories from real learners who transformed their careers.
See why LearnHub4U is the clear choice for career-focused learners
| Feature | LearnHub4U | Others |
|---|---|---|
| Duration | 6 Months | 8-12 Months |
| Live Projects | 15+ | 5-8 |
| Mentorship | 1:1 Expert | Group Sessions/None |
| Placement Rate | 92% | 60-80% |
| Industry Certifications | 5 Included | 2-0 |
| Capstone Project | 3 Options | 1/None |
| Career Support | 12 Months | 3-6 Months |
A simple horizontal payment card with a low program fee, clear value, and an EMI preview you can open anytime.
Full Program Fee
Pay the program fee only. LearnHub supports your GST and interest, so your EMI stays clean and affordable.
Live learning
Mentor-led sessions
Career support
Interview prep + placement
EMI Preview
Select a tenure below and compare the savings with GST and interest fully covered.
3 months
₹36,667
Per month, 0% interest
6 months
₹18,333
Per month, 0% interest
12 months
₹9,167
Per month, 0% interest
Find out whether your background and goals match this Data Science program.
Currently studying and planning a future career in Data Science.
Check if this matches you:
Students below graduation can learn the program, but graduation is required for most hiring opportunities.
Choose a batch that fits your schedule
Join 4700+ professionals who transformed their careers with LearnHub4U. Your journey starts today.
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