Data Science Courses in Bangalore, Rajajinagar
Advance Data Science Course in Bangalore: Learn Data Science from Basics to Advance
Enroll in one of the best data science training courses in Bangalore from Corpnce. Choose GenAI course or signature advanced data science courses and get certified from one of the best data science training institute in Bangalore.
Trainer
11+ Years Industry Experience
Course Duration
8 months | 320+ Hrs
Certificate
Course Completion & Internship
Internships & Placement
100% Placement Assistance
Hands-on Data Science Training in Bangalore
Are you looking for the most comprehensive Data Science course in Bangalore, Rajajinagar? While Harvard called it the "sexiest job" back in 2012, in 2026, Data Science has evolved into the backbone of the global economy. At Corpnce, we provide a future-proof curriculum that doesn't just teach data—it teaches you how to lead in the age of Generative AI and MLOps.
Why 2026 is the Year to Start Your Data Science Journey
The landscape of data has shifted. To be job-ready in Bangalore's elite tech parks today, you need more than just basic statistics.
- Massive Job Growth: India alone is projected to have over 1.1 million active data science roles by the end of 2026.
- High Salary Potential: The average salary for Data Scientists in Bangalore now ranges from ₹7.5L to ₹15L for early-career professionals, with AI specialists touching ₹25L+.
- Industry Adoption: Over 72% of companies have now integrated AI into at least one business function, creating a desperate need for skilled architects.
What is Data Science and Why is it Essential Today?
Data Science is the multidisciplinary field that blends domain expertise, advanced programming, and mathematical rigor to turn raw noise into actionable intelligence.
In 2026, the era of "gut-feeling" leadership is over. Modern organizations rely on Data Science to navigate a complex global market. By integrating traditional analytics with cutting-edge Generative AI, Machine Learning, and Deep Learning, businesses can now predict market shifts, automate complex tasks, and reduce operational risk to near zero.
The Massive Talent Gap: Why You Should Care
The demand for Data Science and AI professionals in India has reached a critical tipping point. While previous years saw a steady rise, the current "AI Revolution" has created an unprecedented shortage of skilled talent.
GROWING DEFICIT: Recent industry reports indicate that while demand for AI and Data roles has surpassed 1.5 million professionals, the supply gap remains at nearly 30%, leaving lakhs of high-paying positions vacant.
EXPLOSIVE GROWTH: Demand for Data Science architects and AI engineers has seen a multi-fold increase compared to traditional software roles, particularly in tech hubs like Bangalore.
THE "GENAI" FACTOR: Since the surge of LLMs, companies are no longer just looking for "analysts"—they are looking for Full-Stack Data Scientists who can deploy intelligent models in real-time.
Business Impact
Predictive insights in real time
Automation
Smarter workflows at scale
Risk Reduction
Better decisions with lower risk
Career Edge
High-growth roles in 2026+
Current Demand & Market Statistics (2025–2026)
India + Bangalore focusTotal Demand by 2026
1M+ Roles
AI Roles Posted (2025)
2.9 Lakh
Projected 2026: ~3.8 lakh (+32%)
Demand–Supply Gap
~51%
Salary Trends in Bangalore
Specialized Roles (GenAI/MLOps): demand for Generative AI and LLM skills grew by 60% last year, with specialists commanding premiums of 30–50% over traditional analysts.
Learned Skills from Data Science Courses
- Core Programming: Python (the industry standard) and essential libraries like Pandas, NumPy, and Scikit-learn.
- The AI Suite: Generative AI (LLMs), Deep Learning, and Neural Networks.
- Predictive Analytics: Advanced Machine Learning algorithms for forecasting and classification.
- Data Engineering: Data Wrangling, Exploration, and ETL (Extract, Transform, Load) processes.
- Visualization & Storytelling: Creating impactful narratives using tools like PowerBI, Tableau, and Seaborn.
- Production Readiness: Deploying models on the Cloud and mastering MLOps basics.
Download the Course Curriculum
Get the full syllabus, tools covered, and project roadmap delivered to your inbox.
Who Should Do The Data Science Course?
The beauty of Data Science in 2026 is its universality. We have designed this program for anyone with a logical mindset and a hunger for problem-solving.
- Corporate Leaders & Managers: Leverage "Decision Intelligence" to lead teams with data-backed strategies.
- Career Switchers: Professionals from Finance, Healthcare, or Retail looking to pivot into high-growth tech roles.
- Technical Minds: Software developers, Database admins, and BI professionals wanting to upgrade to AI-driven architectures.
- Analytical Thinkers: Statisticians, Mathematicians, and Economists who want to apply theory to large-scale industry data.
- Fresh Graduates: Students from any stream (Tech or Non-Tech) with strong analytical foundations looking for a future-proof career.
Choose Your 2026 Path
Two distinct tracks built for executive strategy and deep technical mastery.
EXECUTIVE DATA SCIENCE & AI STRATEGY
The Leadership Blueprint for the 2026 Data Economy
This high-impact program is meticulously designed for Top Executives, Senior Managers, and Business Leaders who need to move beyond the hype and lead with "Decision Intelligence." In 2026, leadership isn't just about managing people; it's about managing AI-human hybrid workflows. No prior programming knowledge is required.
PROGRAM KEY HIGHLIGHTS:
- The AI Revolution: History of Data Science to the birth of Generative AI.
- Sector-Specific Case Studies: ROI-driven AI implementation in BFSI, Retail, Healthcare, and Manufacturing.
- Strategic Statistical Thinking: Moving from "gut feeling" to data-backed probability and risk assessment.
- Executive Machine Learning: Understanding how algorithms drive business value without getting lost in code.
- AI Governance & Ethics: Navigating the legal and ethical landscape of 2026 AI deployment.
- Data Storytelling: Mastering visualization techniques to influence boardroom decisions.
- Future-Proofing: A strategic view of NLP, LLMs, and Agentic AI in the enterprise.
Duration
16 Weeks (Weekend Batches)
Learning Hours
32+ Strategic Sessions
Data Science Course Fees in Bangalore
₹68,000/-*
ADVANCED DATA SCIENCE & AI ENGINEERING
Master the 2026 Tech Stack: From Python to Generative AI Pipelines
Are you looking to pivot your career or dominate the current AI-first job market? Our Advanced Data Science Course in Bangalore, Rajajinagar is an intensive, industry-aligned bootcamp that transforms you into a Full-Stack Data Scientist. With 6+ Industrial Projects, you will build a portfolio that recruiters in 2026 cannot ignore.
PROGRAM KEY CONTENTS:
- Modern Foundations: Python for Data Science, Advanced SQL, and Mathematical Foundations (Linear Algebra & Calculus for AI).
- Full-Stack Data Analytics: Exploratory Data Analysis (EDA), Data Wrangling, and automated Munging techniques.
- Next-Gen Visualization: Dashboarding with Tableau and Python-based interactive storytelling.
- Advanced Machine Learning: Supervised/Unsupervised Learning, Hyperparameter Tuning, and Optimization.
- Deep Learning & Computer Vision: ANN, CNNs, Transfer Learning, and Image Generation.
- The Generative AI Frontier: RNNs, Transformers, Hugging Face, Fine-Tuning LLMs, and RAG (Retrieval-Augmented Generation).
- Scalable MLOps: Model Building, Containerization (Docker), Deployment with FastAPI, and Cloud Monitoring.
Duration
7-8 Months
Teaching Hours
320+ Hours of Live Instruction
Hands-on Lab Hours
150+ Hours of Guided Projects
Data Science Course Fees in Bangalore
₹1,15,000/-*
Your Journey into the Future of Tech Starts Here.
The world runs on data, and the future is being built by AI. As industries across Bangalore and the globe pivot to AI-first strategies, the demand for skilled Data Scientists and AI Engineers has exploded. Forget traditional career paths—Data Science is a domain where passion, logic, and strategic thinking trump your background.
The Unprecedented Demand & Reward:
- The Indian market currently boasts over 2.9 lakh active openings in Data Science, AI, and Machine Learning roles for 2025-2026. This demand is only set to double by 2030.
- High-Value Careers: A certified Data Scientist with 2-3 years of experience in Bangalore can command an average salary of ₹12L – ₹18L per annum, with specialized AI roles (Generative AI, MLOps) reaching ₹25L+.
- Exponential Growth: Your expertise in this rapidly evolving field means your earning potential and career growth are virtually limitless.
Your Background Doesn't Define Your Future in Data Science – Your Ambition Does!
At Corpnce in Rajajinagar, we believe that anyone with strong analytical, logical reasoning, and problem-solving skills can excel. Our diverse student body proves that the best Data Scientists come from all walks of life.
Active Openings (2025-2026)
2.9 Lakh+
Avg Salary (2-3 yrs)
₹12L – ₹18L
Specialized AI Roles
₹25L+ potential
No Prior Coding Experience? No Problem!
Our foundation modules are designed to bring everyone up to speed. For professionals and freshers from diverse educational backgrounds, we offer initial screening and personalized career counseling to ensure the perfect fit for your aspirations.
Ideal Candidates for Our Data Science Courses Include
IT & Tech Professionals
Software Developers, Testers, Database/Network Administrators, and Data Engineers looking to upskill into advanced AI roles.
Business & Product Minds
Business Analysts, Product Managers, and Customer Service Analysts aiming to drive strategy with data-backed insights.
Research & Academic Talent
Research Scientists, Academicians, and Statisticians eager to apply theoretical knowledge to real-world industrial problems.
Fresh Graduates
Ambitious freshers from ANY educational background (B.E., B.Tech, B.Sc., B.Com, Arts) with a keen interest in logic and problem-solving.
Career Changers
Professionals from non-IT fields (e.g., Finance, Marketing, Healthcare) ready to embrace a high-growth tech career.
Why Choose Corpnce
Our Core Features
A Product Company
AI product DNA with R&D-led curriculum built for real industry needs.
Personal Attention
Smaller batches enable tailored guidance and faster skill growth.
Technology Quotient
TQ methodology boosts adaptability and problem-solving.
Placement Assistance
Career guidance and placement support to help you land roles.
Life-Long Access
Rejoin future batches anytime to refresh and advance skills.
Strong Alumni Network
Connect with mentors and peers across industries for long-term growth.
Indicative share of 2026 data science toolboxes.
Skill Pillars
What Dominates Data Scientist Toolboxes in 2026
Programming
Python (23%+ market share), SQL for database management, and Julia for high-performance computing.
Generative AI
Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and fine-tuning with Hugging Face.
Production (MLOps)
Docker, Kubernetes, and FastAPI for deploying and monitoring models in cloud environments like AWS and Azure.
Visualization
Advanced Tableau, Power BI, and interactive Python libraries like Plotly and D3.js.
Advanced ML
Deep Learning (CNNs, RNNs), AutoML for rapid prototyping, and Explainable AI (XAI).
Industry Outlook
Industry Hiring Distribution for Data Science & AI (2026 Forecast)
Based on current growth trajectories and the NASSCOM 2026 AI Roadmap, the hiring demand is distributed as follows:
Fraud prevention, AI-driven credit scoring, and robo-advisory.
Hyper-personalization, demand forecasting, and inventory automation.
Global Capability Centers (GCCs) and AI-as-a-Service platforms.
Drug discovery, patient outcome prediction, and medical imaging AI.
Autonomous systems, predictive maintenance, and Digital Twins.
Hiring Share Snapshot
Global Outlook
Global and Country-Wise Job Market (2026 Forecast)
The data science industry is projected to create approximately 11.5 million new jobs globally by 2026.
Global New Roles
11.5M+
Top 2026 Skills by Region
India
MLOps
GenAI Talent
Big Data Engg
USA
AI Researchers
ML Engineers
Applied Scientists
UK
BI & Analytics
Fintech Data
Compliance
Regional Industry Highlights
- India: The global outsourcing hub with ~9.5M tech professionals by FY 2026 and $300B industry value; Bengaluru drives ~43.5% of tech hiring.
- USA: The innovation leader, projected to reach $166.89B market size by 2026 with premium AI research investment.
- UK: The fintech powerhouse with strong London demand and a persistent skills mismatch despite higher AI talent density.
India
~51–53% deficitOver 1 million AI & Data professionals needed
Entry-Level Salary
₹6L – ₹12L PA
Demand Intensity
USA
High demand~73,100 job change openings (2025–26)
Entry-Level Salary
$95,000 – $140,000
Demand Intensity
UK
Hiring challenges~7,000 monthly AI/Data postings
Entry-Level Salary
£45,000 – £70,000
Demand Intensity
80% of employers report hiring challenges.
2026 Role Growth
Top High-Growth Data & AI Roles (2026 Forecast)
The fastest growth is in roles that take models from prototype to production. These bars highlight the highest-velocity career paths.
Deployment of LLMs, RAG systems, and AI agents.
Predictive modeling and causal AI for business strategy.
Automating and monitoring production-grade AI pipelines.
Real-time BI and embedded analytics for decision-making.
Scalable, secure cloud-native data architectures.
2026 Industry Snapshot: India Focus
- Total Openings: 5–7 lakh active openings across India’s tech hubs led by Bengaluru and Hyderabad.
- Market Size: Indian data science market expected to reach $20B by 2026.
- Skills Over Credentials: Hiring favors hands-on portfolios (GitHub/Kaggle) and skills like PyTorch, LangChain, Docker.
- Entry-Level Salaries: ₹4L–₹8L for freshers; mid-level GenAI/MLOps roles at ₹18L–₹50L.
Salary Trends
Data Science & AI Salary Trends (India - 2026 Forecast)
| Role | Entry Level (0-2 yrs) | Mid-Level (3-7 yrs) | Senior/Lead (8+ yrs) |
|---|---|---|---|
| Generative AI Engineer | ₹12L - ₹18L | ₹25L - ₹45L | ₹55L+ |
| MLOps Engineer | ₹10L - ₹16L | ₹22L - ₹38L | ₹50L+ |
| Data Scientist | ₹8L - ₹14L | ₹18L - ₹32L | ₹45L+ |
| Data Engineer | ₹7L - ₹12L | ₹16L - ₹28L | ₹40L+ |
| Data Analyst | ₹5L - ₹9L | ₹12L - ₹20L | ₹25L+ |
Why Choose Corpnce for Your Data Science Certification in Bangalore (2026)?
While the market is flooded with institutions, Corpnce remains the elite choice for a Data Science course in Bangalore. In 2026, the industry has shifted from simple data analysis to AI-native engineering, and our curriculum has evolved to lead this revolution.
1. The Industry Context: A Million Opportunities
NASSCOM 2026 reports show demand for AI & Data professionals in India has crossed 1 million, with Bangalore (Rajajinagar & surrounding hubs) accounting for over 43% of tech hiring. Yet a ~51% talent gap persists because most institutes still teach yesterday’s code. Corpnce bridges this gap by training you for the Agentic Era.
Demand
1M+
Bengaluru Share
43%+
Talent Gap
~51%
2. Our "Simplicity-First" Learning Path
- Python Mastery: Start with preparatory sessions to master the art of coding — the orchestration layer for AI agents.
- The Math of AI: Statistics and probability for reliable model building.
- End-to-End Stack: Data wrangling, visualization, Big Data, and ML (Regression & Classification).
- Advanced AI Frontiers: Core NLP (NLU & NLG), build LLMs and Agentic workflows using LangGraph.
- Production & MLOps: Cloud deployment (APIs) and DevOps so models are production-ready.
3. Research-Level Expertise in 8 Months
Become an independent architect. In 8 months, gain the ability to read and implement research papers — placing you in the top 5% of data scientists globally.
4. Real-World Project & Internship Ecosystem
- Project-Based Learning: One instructor-led mini project + two major industry-use-case projects.
- Internal Internships: Top performers build full-scale AI products with us.
- Portfolio over Certificates: Certification plus a GitHub portfolio that proves skills.
5. Exclusive Features & Value
Elite Batch Size
Strictly limited to 15 students for personalized attention.
Competitive Fees
~1/4th the cost of comparable elite programs in Bangalore.
100% Placement Aid
Direct assistance based on your projects and internship outcomes.
Community
Lifetime access to a strong alumni network and tech experts.
Start Your Journey in Rajajinagar
New weekend batches start every 60 days at our Rajajinagar center. If you want hands-on expertise over theoretical slides, Corpnce is your destination.
Certification Impact
Why a Data Science Certification Matters in 2026
In 2026, a Data Science Certification is more than just a credential—it is a gateway to the second-largest data hub in the world. As India transitions into an AI-first economy, certifications that combine traditional data science with Generative AI and MLOps are seeing the highest ROI.
The 2026 Market Pulse
By the end of 2026, India is projected to need over 1 million AI and Data Science professionals, yet the current talent gap remains as high as 51% for specialized roles.
Why MNCs Value This Certification
Top-tier MNCs are no longer just hiring for reporting. They need professionals who can deploy agentic workflows and production-ready models. This certification is recognized by 80+ global giants in India, including:
- Tech Leaders: Google, Microsoft, IBM, Infosys, TCS.
- Product & Retail: DELL, Amazon, Unilever, Lowe's.
- Specialized Sectors: Volvo (Automotive), Ericsson (Telecom), Banks.
A Roadmap to Your 2026 Certification
- Foundational Rigor: Master Python and SQL—the "bread and butter" of the 2026 tech stack.
- Specialized Deep Dives: Transition from standard ML to Computer Vision and NLP.
- The GenAI Edge: Build LLMs and Agentic AI using LangGraph and Hugging Face.
- Portfolio Validation: Complete 4–6 industry-grade projects (fraud detection, predictive maintenance, etc.).
Expanded List of Prominent MNCs Hiring in 2026
Tech Giants
Google, Microsoft, Amazon, Meta, NVIDIA — LLM Research, Cloud AI, Agentic AI Workflows
Financial Services
JPMorgan Chase, Goldman Sachs, HDFC Bank, Morgan Stanley — Quant Analytics, Fraud Detection
Retail & E-commerce
Walmart Global Tech, Target, Flipkart, Wayfair, Best Buy — Supply Chain AI, Personalization
Automotive & Industrial
Bosch, Mercedes-Benz R&D, Volvo, Boeing, Rolls-Royce — Digital Twins, Industrial AI
Energy & Utilities
Shell, Chevron ENGINE, GE Healthcare, Siemens — Predictive Health Analytics
Consulting & Strategy
Accenture, Deloitte, Fractal Analytics, Mu Sigma, Tiger Analytics — AI Transformation
Why These Companies Are Promising in 2026
- The GCC Shift: Bangalore hosts 870+ GCC units becoming global product owners.
- GenAI Dominance: Accenture and NVIDIA scale Bengaluru innovation hubs for responsible AI.
- High-Value Compensation: Senior roles at Google/Amazon reach ₹35L–₹45L+ CTC.
Bangalore's Innovation Corridor Hiring (2026)
- Whitefield / Manyata: Telecom, Aerospace, IT Services.
- Electronic City / Adugodi: Automotive, Industrial IoT, Enterprise Tech.
- Bellandur / ORR: FinTech, Retail, AI Research.
Career Benefits
Benefits of Data Science Course in Bangalore
Build in-demand skills with a curriculum designed for real-world impact.
High Market Demand
Strong hiring demand for data science professionals across industries.
Executive Exposure
Collaborate with decision-makers and senior stakeholders.
Decision Intelligence
Empower management with data-driven strategies and insights.
High-Paying Careers
Unlock premium compensation and faster career growth.
Brand-Name Exposure
Work with top brands and impactful industry projects.
Work From Anywhere
Global opportunities and remote-friendly roles.
Frequently Asked Questions
Am I the right candidate for this course?
Working professionals from any industry can join. If needed, candidates qualify via Python and TQ evaluation tests.
Will this course help freshers?
Yes, the syllabus is designed from basics to advanced concepts with projects for real-world exposure.
What prior knowledge do I need?
We teach from the basics. Strong fundamentals in stats, math, and Python are a bonus.
Do you provide placement assistance?
We provide placement assistance to deserving candidates and offer in-house internship opportunities for top performers.
What is the job scenario in the market?
There are 92,000+ Data Science related jobs in India, with strong growth in demand.