DATA ANALYST COURSE IN Bangalore
Certified Data Analytics Course in Bangalore with Placements
500 Hours
38 Classes
*TIH Partnerships via Edzor CAITE
Courses Included
Artificial Intelligence Engineering
₹ 20000/-
Artificial Intelligence Engineering
₹ 20000/-
Artificial Intelligence Engineering
₹ 20000/-
₹ 65000/-
₹ 48000*/-
Optional Course
Data Science using R
₹ 20,000
₹ 4000/-
Industry-Recognized Certification
Earn a prestigious certification from TIH at IIT Bombay or TIH at IIT Patna, along with Nasscom FutureSkills Prime, enhancing your academic prestige and industry credibility.
Flexible Learning Modes
Choose from Classroom, Interactive Live Online, or Blended eLearning formats, with flexible weekday and weekend schedules and continuous expert guidance.
Inclusive Learning
Tailored for beginner-to-mid-career professionals, our industry-aligned learning approach empowers learners from all backgrounds to build in-demand skills and accelerate career success.
Industry-Recognized Certification
Earn a prestigious certificate from Nasscom-FutureSkills Prime and AnalytixLabs, recognized by top global recruiters
Flexible Learning Modes
Choose from online, blended, classroom bootcamps, or weekend classes to fit your schedule without any pause.
Technical & Non-Technical Learners
Industry-first approach tailored for beginner-to-mid-career candidates from any background.
Data Analytics with AI Learning Modes
Classroom Sessions
INR 87,320/-*
(Pay in Easy Installments)
INR 68,440/-*
(Pay in Easy Installments)
Interactive Live Online
INR 80,240/-*
(Pay in Easy Installments)
INR 59,000/-*
(Pay in Easy Installments)
Blended eLearning
INR 70,800/-*
(Pay in Easy Installments)
INR 53,100/-*
(Pay in Easy Installments)
Data Analytics & AI Course Fees
(Program fees starts from)
INR 70,800/-*
(Program fees starts from)
INR 53,100/-*
Introduction to Data Analytics Training in Bangalore
Most analyst work starts with a messy dataset and a business question. This data analyst course in Bangalore teaches you to answer that business question with SQL, Power BI, Python, and statistics. You also learn to use AI tools to clean, summarize, and report on data faster.
You can learn in a classroom batch at our HSR Layout center, in live online classes, or in a blended format. All modes follow the same curriculum. The full Advanced Certification in Data Analytics with AI program, runs for 6 to 8 months.
Every learner earns NASSCOM-FutureSkills Prime certification, an initiative of MeitY, Government of India. On the Data Analytics with AI track, you can also add certification from TIH at IIT Bombay or IIT Patna.
Why Learn with Us? AnalytixLabs has been training data professionals since 2011. The course is designed for graduates from finance, engineering, commerce, and science, and no prior analytics experience is required
In an era where data is the new currency, the ever-expanding demand for data-savvy professionals has made data analytics one of the most sought-after skills in today’s job market.
As the India Big Data Technology & Service Market is expected to reach $3.38 billion by 2029, all the major tech cities, like Bangalore, Pune, and Bangalore, are facing a rise in the demand for data analysts.
Being at the heart of the country, Bangalore offers a plethora of opportunities. Its excellent connectivity and frequent tech conferences and hackathons make Bangalore a hub for tech enthusiasts.
Hence, whether you’re a budding professional or looking to improve your skills, a data analyst course in Bangalore can equip you with the essential tools and knowledge to thrive in this exciting field. In our Data Science Bible Report 2023, we discuss a wide range of tools and trends in data science and analytics. For more advanced learning, explore our PG courses in Data Science [offered in both 1-year and 6-month advanced courses].
P.S. Download our free industry reports and insights to keep up with the changing data landscape. Gain salary insights, learn about the top learning tools, and understand where the data world is heading. These reports are designed and curated by our in-house industry experts, who combine facts and experience to build a cohesive resource. Download for FREE.
With the data analytics training in Bangalore from AnalytixLabs, you will learn with a robust educational approach curated by experts to guide you through the dynamic realm of data analytics. Our course integrates cutting-edge learning tools with a practical, hands-on methodology, ensuring you are well-prepared for the industry.
Whether you’re starting from the basics or delving into advanced techniques, our data analyst training in Bangalore equips you with a broader knowledge base. Enroll in our data analytics course in Bangalore to cultivate a comprehensive skill set in data visualization, descriptive analytics, and predictive modeling for making informed business decisions.
The learning objectives of our data analytics training in Bangalore are outlined as follows:
- Develop the skill to uncover valuable business insights from data.
- Address your company’s challenges by providing analytical solutions to bridge the gap.
- Demonstrate proficiency in constructing data models and utilizing data analytic tools.
- Empower decision-making by implementing data-driven solutions for smart business strategies.
- Effectively communicate technical information and analysis results to both technical and non-technical audiences.
- Assess and articulate data-driven solutions’ precise operational, financial, and ethical impacts in structured and unstructured environments.
Program Details | Bootcamp Certificate in Data Analytics | PG Diploma in Data Analytics |
Duration | 6 months | 10 months |
Learning Hours | 500 hours | 1500 hours |
Program Fee (₹) | 47,200/-* | 2,75,000 + GST |
Upskill your analytics profile with our Certified Data Analyst Bootcamp course. This course combines the powerful pedagogy of world-class experts and hands-on practical training to fast-track your career graph as a Data Analyst. From beginners’ concepts to advanced subjects, our Certified Data Analyst Bootcamp course covers everything you will need to make a mark as an analyst. Based on the track you choose, this course will earn you a job-oriented Certification in Data Analytics.
Online Data Analytics Course in Bangalore - Learning Methodology
Your fee depends on how you learn and which certification option you pick. Every learner earns NASSCOM-FutureSkills Prime certification. On the Data Analytics with AI track, the TIH option adds certification from TIH at IIT Bombay or TIH at IIT Patna.
Classroom Sessions
₹ 61,360/- including taxes
EMI starts @ 8,260
EMI Options
*Pay in easy EMIs starting at INR ₹6387 per month.
- Fees payable in up to 3 installments
- 0% Interest EMI – Pay in Easy Installments (though education financing partners)
- Cost-effective courses with high ROI, making it worth every penny you invest.
Interactive Live Online
₹ 53,100/- including taxes
EMI starts @ 8,260
EMI Options
*Pay in easy EMIs starting at INR ₹6387 per month.
- Fees payable in up to 3 installments
- 0% Interest EMI – Pay in Easy Installments (though education financing partners)
- Cost-effective courses with high ROI, making it worth every penny you invest.
Blended eLearning
₹ 47,200/- including taxes
EMI starts @ 8,260
EMI Options
*Pay in easy EMIs starting at INR ₹6387 per month.
- Fees payable in up to 3 installments
- 0% Interest EMI – Pay in Easy Installments (though education financing partners)
- Cost-effective courses with high ROI, making it worth every penny you invest.
Classroom & Bootcamp
Classroom batches run on weekdays and weekends at our HSR Layout center, with in-person mentoring. If your job is hybrid, a weekend batch lets you study around your office days.
Interactive Online Classes
Live online classes let you join from anywhere in Bangalore or beyond. Sessions are fully interactive, with real-time discussion and Q&A. Small batches mean faculty can give you individual attention.
Self-paced eLearning
Learn through recorded sessions in the learning management system, at your own pace. Faculty answer your doubts by email, online, or in person.
Classroom or Live Online: Which Suits You?
| Classroom at HSR Layout | Interactive live online | |
|---|---|---|
| Travel | Close to Koramangala, BTM Layout, Agara, and Bellandur. | No commute. You join from home or the office. |
| Schedule | Weekday and weekend batches at fixed times. | Weekday and weekend batches, held live at fixed times. |
| Interaction | Face-to-face teaching, in-person doubt clearing, and peer discussion. | Live discussion and Q&A with faculty in every session. |
| Fee | INR 68,440, or INR 87,320 with certification from TIH at IIT Bombay or IIT Patna | INR 59,000, or INR 80,240 with certification from TIH at IIT Bombay or IIT Patna |
| Best for | Learners who live or work nearby and prefer a classroom. | Working professionals with long commutes or variable hours. |
Flexible Payment Options Across All Plans
Pay in up to 3 instalments · 0% Interest EMI via education financing partners · High-ROI programmes designed to deliver measurable career outcomes
Classroom Batches in Bangalore
Visit Our Bangalore Center
Our center is at Bldg 51/2, First Floor, 12th Main Road, Sector 6, HSR Layout, Back Gate of BDA Complex, opposite A2B (Adyar Ananda Bhavan), Bangalore, Karnataka 560102. It is close to Silk Board junction and the Outer Ring Road. Get Directions.
You can attend a free demo class at the center or online before you enroll. Sign up for a free demo class.
Data Analytics with AI: Why It Matters in Bangalore
SQL, Power BI, and statistics still appear in most analyst job descriptions. What has changed is how analysts use them. Employers now expect you to use AI for routine work, so more of your time goes to decisions.
Bengaluru leads India in AI hiring. It accounts for about a quarter of the country’s AI-tagged job openings (CBRE analysis of Naukri.com listings, December 2025). Data science and analytics is one of the top three areas driving that demand.
Global capability centers, product companies, and AI startups in the city use AI to forecast demand, automate reporting, and build new products. These teams increasingly look for analysts who can work with AI tools.
Traditional Data Analytics (Without AI) | ⚡ Recommended Data Analytics with AI |
|---|---|
| Job MarketEntry level reporting and dashboarding roles are saturated. Hiring for analytics only profiles is shrinking. | Job MarketAnalyst roles that combine analytics with AI are growing. More postings now ask for AI skills alongside SQL and Power BI. |
| What You LearnExcel, SQL, Power BI, Python and applied statistics. | What You LearnAll of the above, plus Generative AI and AI agents applied to analytics work. |
| How You WorkYou clean data, build reports and refresh them manually. | How You WorkYou automate the cleaning and reporting, and build agents that monitor data and flag issues. Your time goes to analysis and decisions. |
| CertificationAnalytixLabs x NASSCOM FutureSkills Prime | CertificationTIH at IIT Bombay or TIH at IIT Patna, plus NASSCOM FutureSkills Prime and AnalytixLabs Certification |
| Placement SupportPlacement assistance and interview preparation. | Placement SupportPlacement Readiness Program, plus Job Guarantee with Minimum Package Assurance and 50% fee refund. Eligibility criteria apply. |
| Where It LeadsYou compete for analytics and reporting roles that are saturated and shrinking. | Where It LeadsYou compete for analyst roles that own automation and decisions, where fewer candidates qualify. |
This course teaches the full core analytics stack, then adds the AI layer employers now ask for.
No of classes X Hours
16 x 3 = 50 Hours
Self Study Hours
90 Hours
6 Assignments & Projects
Placement Readiness Program
What Is Data Analytics?
Data analytics means cleaning, exploring, and modeling data to answer business questions. Most analyst work falls into four types.
Types of Data Analytics
| Type | Question it answers | Example |
|---|---|---|
| Descriptive | What happened? | A food delivery app reports last week’s orders by Bangalore neighborhood. |
| Diagnostic | Why did it happen? | A bank traces a drop in credit card sign-ups to a slower approval step. |
| Predictive | What will happen? | An e-commerce team forecasts festive-season demand by product category. |
| Prescriptive | What should we do? | A logistics startup picks delivery slots that cut late orders. |
Course Syllabus of Data Analytics Course in Bangalore (with AI)
Orientation & Fundamentals of Analytics
Introduction to Analytics & Life Cycle of Data Analytics Projects
- What is Analytics, Data Science, and AI? – Definition
- Difference between Business Analytics, Data Analytics, Data Science vs. AI
- Types of data (Structured vs. Unstructured vs. Semi-structured)
- Understand the impact and use of data analysis based on the real-world examples
- Stages of Analytics (Introduction to types of data analysis – Descriptive vs. Diagnostic vs. Predictive vs. Prescriptive vs. Cognitive)
- Analytics Methodology & problem-solving framework (Steps to solve a Data Analysis problem.) – Life Cycle of Analytics Project
- What is AI, GenAI, Agentic AI?
- The role of AI in Data analytics
- The applications of AI in day-to-day work?
- How is AI changing the roles over time?
- Expectations from the Employers
Data Analytics with SQL(MySQL)
RDBMS - SQL
- Basic RDBMS Concepts (ERD, Data Modeling, Schema, Normalization, ETL, etc..)
- Introduction to MySQL Server
- Overview of SQL Commands (Overview of DDL, DML, DCL, DQL), SQL Syntax basics, Operators, Order of execution etc.
- Data-based objects creation (DDL Commands – Data Gathering – CRUD Operations)
- Data manipulation (DML Commands) & DQL (Data Query), Data Preparation & Analysis (Data Aggregations & Summarizations)
- Accessing data from Single & Multiple Tables using SELECT statement & Clauses, inbuilt functions
- Advanced SQL (Advanced Joins, Subqueries, Window Functions, Views, CTEs, Stored Procedures etc.)
- Integrating SQL for Analytics (Databases & Schema, Python integration)
- AI-Powered SQL & Optimization (AI-Assisted Querying and Optimization)
Visual Analytics & Dashboarding using Power BI
PowerBI
- Introduction to Data Visualization concepts, BI, Power BI
- Data Preparation and Modelling (Power Query) – Extracting data from various sources, Load Data Model – Manage Relationships
- Data Analysis Expressions (DAX)
- Reports Development (Basic & Advanced Visuals in Power BI) – Types of visuals, mapping charts with analysis, and chart formatting
- Data-Driven Story Reports
- Creation of Dashboards – Wire Frames, Slicers, Filters, Tooltips, buttons – KPI-Based Dashboarding – E-commerce Case
- Advanced / Other Power BI Concepts (Parameters, Dynamic measures, Insights presentation etc.)
- Power BI Analytics
- Publishing workbooks and Workspace
- Overview of Power BI Service
- AI-Enhanced Presentations or design of dashboard with ChatGPT/Claude
Foundations of Programming Logic
(Python Core Programming)
- Introduction to Python for Data Science
- Essentials of Python Programming (Environment, IDE’s, syntax rules, objects, indentation, comments, assignment rules, file handling, etc.)
- Data Types (numeric, string, date time, etc.) & Operators-Operands, Expressions
- Data Structures (Lists, tuples, dictionaries, sets) – Accessing Data (Indexing & Slicing)
- In-Built Functions & Methods, Packages
- Conditional, iterative, or Control Flow Statements (if, ifelse, loops, comprehensions, etc.)
- User-Defined Functions (args, kwargs), Lambda functions, Classes
- Error & Exception Handling
- File Handling
- AI-Enhanced Coding Fundamentals – AI-Assisted Coding: Pair Programming with ChatGPT
Python for Data Science
(EDA + Visualization)
- Python Packages for Data Analytics & Data Science
- Operations with NumPy (Numerical Python) – Operations
- Mastering data with Pandas
- Reading (handling diverse data formats), Auditing, Cleansing, Preparing Data with Python & packages (numpy, pandas, datetime, regex, etc.), core techniques in data wrangling (basic & advanced)
- Python-SQL integration to extract data – performing SQL codes in Python
- Data Analysis (EDA (Descriptive, Diagnostic) – statistical analysis) using Python & packages (numpy, pandas, datetime, regex, etc.)
- Data Visualization using Python & packages (matplotlib, seaborn, etc.)
- AI-assisted coding – AI-Powered Data Wrangling with PandasAI
Applied Statistics
Statistics
- Statistics Fundamentals
- Descriptive and Inferential Statistics (Measures of Central tendency, variance, deviation, frequency, symmetry, peakedness, ranking, etc…)
- Understanding data distributions (Discrete, continuous) & relationships
- Sampling & Statistical Inference
- Concept of standard error and the central limit theorem
- Concept of Confidence Intervals
- Hypothesis Testing
- Statistical Methods – Z/t-tests (One sample, independent, paired), ANOVA, Correlation, and Chi-square – Applications – Implementation in Python (scipy-stats module)
Generative AI & Nocode Agentic AI
AI Foundations
- AI vs. Automation vs. Analytics
- AI, Machine Learning (ML), Deep Learning (DL) – differences & connections
- Narrow AI vs. General AI vs. Super AI
- Core AI applications (NLP, CV, Robotics, Predictive Analytics)
Generative AI Basics
- Traditional AI vs. Gen AI
- Every day, GenAI applications
- How does GenAI work?
- Key models (GPT, Claude, Gemini, LLaMA)
- Text generation & completion techniques
- Prompt Engineering basics: role, task, context
- Core Prompting Tasks (Text generation & completion, Summarization (short & detailed), Rewriting in different tones/styles)
- Prompt Structures (instructional, role-based)
- Prompting Techniques (Zero-shot prompting, Few-shot prompting, Chain of Thought (CoT) prompting
- Role Prompting, Multi-turn interactions (context retention), etc..
- Limitations of prompting
- Evaluating GenAI output quality
Large Language Models (LLMs): How They Work
- Introduction to transformers
- LLMs vs. SLMs
- Popular LLMs (GPT, Claude, Gemini, LLaMA) – Overview – Strengths & Limitations
- Introduction to Embeddings
Introduction to Agentic AI
- No-code AI overview
- Intro to workflow automation tools
- Introduction to Zapier basics (triggers & actions), n8n workflow design, Make.com integrations
- AI-powered productivity with Notion AI for task automation & summarization, Airtable for data storage & automation, Glide for mobile app prototyping, etc.
- Design & Storytelling Tools
- Integrating AI into everyday workflows – Linking AI workflows with business processes
- Prototyping with no-code/low-code tools
What is an AI Agent? How it differs from chatbots
- Agentic AI vs. AI Agents
- Key components of Agentic AI: memory, planning, tool use, autonomy
- AI Orchestration with no-code tools
- Agent frameworks (LangChain, AutoGen, CrewAI – overview)
AI challenges: Bias, hallucination, privacy & security issues
- Responsible AI principles: Fairness, Accountability, Transparency, Explainability
- Global AI Ethics Frameworks
- Safe & Responsible usage
- Responsible AI: Guardrails
Applied Agentic AI (Agentic AI Systems using Python)
Setting up the development environment
- Installing and configuring tools like VS CODE, JUPYTER LAB, GitHub
- Best practice for managing dependencies and optimizing the workspace
- Numpy & Pandas for AI workflows
- Functions & Classes in Python
- Working with APIs (REST APIs, JSON handling, requests library)
Transformers & Fine-Tuning
- Transformers Architecture Basics(Introduction, attention, multihead attention, encoder-decoder with context)
- The Main Idea behind the Transformer
- Coding self-attention in Pytorch
- Self-attention and Masked Self-attention
- Hugging Face Transformers basics
- Pre-trained vs fine-tuned models
- Fine-tuning pre-trained models (BERT, GPT-style)
- Parameter-efficient fine-tuning (PEFT, LoRA, adapters)
GPT from Scratch
- Language modeling concepts
- Tokenization & embeddings
- Implementing a simple GPT model step by step
- Training with a toy dataset
- Training loop & loss function
Multi-Modal LLMs
- Text-to-Image models (Stable Diffusion, DALL·E)
- Image-to-text models (BLIP, CLIP, Flamingo)
- Text-to-Speech and
- Speech-to-Text APIs
- Speech-to-text (Whisper)
- Combining modalities (vision + text)
- Multi-modal pipelines (text+image, text+audio)
LLM Prompting & LangChain Basics
- LLM Wrappers & APIs
- Prompt engineering strategies
- LangChain components: Memory, Tools, Chains, Agents
- LangChain wrappers and memory
- Orchestrating LLM workflows
- Building basic agents
Vector Databases & RAG (Retrieval-Augmented Generation)
- Introduction to embeddings (SBERT, OpenAI, Cohere)
- Vector embeddings and similarity search
- FAISS & Pinecone, Weaviate for vector search
- Chunking & indexing documents
- Building RAG(Retrieval-Augmented Generation) pipelines
- Integrating Fusion & Re-ranking (Practical Sketch)
Autonomous Agents (Agentic AI)
- Introduction to LLM Agent Systems
- CrewAI & AutoGen frameworks
- Multi-agent coordination
- Task decomposition & delegation
- Building workflow-driven AI agents
- Tools, memory, reasoning
- Deployment & Use Cases
LangGraph & Model Context Protocols (MCP)
- LangGraph introduction
- Designing agent workflows with graphs
- State management in multi-agent systems
- MCP for standardized context sharing
- Future of agentic AI ecosystems
- Agent to Agent Protocols (A2A)
Testing & Evaluating LLM Apps/outputs (metrics, hallucination checks & frameworks)
- Monitoring & debugging with LangSmith
- App deployment with Streamlit, Gradio
- API deployment with FastAPI
*The programme also includes additional modules designed to enhance your learning experience.
Download the brochure to view the complete course curriculum and module details.
Request a Call back
Data Analytics Projects and Industries Covered
Skills and Tools Covered
- Generative AI
- Prompt Engineering
- Statistical Analysis
- Data Visualization
- Data Wrangling
- Data Blending & Manipulation
- MIS Reporting
- Analytical Thinking
- Problem-Solving
- Communication
- Business Acumen
- Critical Thinking
- Product Understanding
- No Code Automation
- Agentic AI
- AI Engineering
- AI Tools for Productivity
Data Analytics Certification Details
Your AnalytixLabs certificate is backed by our academic and industry partners. Which credentials you earn depends on your track.
| Certification | Who earns it | What it is |
|---|---|---|
| NASSCOM-FutureSkills Prime | All learners | NASSCOM-approved certification, supported by MeitY, Government of India, covering analytics and data science. |
| TIH Knowledge Partner Certification | Data Analytics with AI track (optional; choose one at enrollment) | TIH at IIT Bombay (TIH Foundation for IoT & IoE) or TIH at IIT Patna (Vishlesan I-Hub Foundation). Includes virtual guest lectures by TIH-associated experts. |
| AnalytixLabs | All learners | Course completion certification from AnalytixLabs. |
How Certification Works
You earn certification by passing the case studies, assignments, MCQs, and viva built into the course. You must complete certification within one year of registration. Faculty support you through assignments and projects, and plagiarism is not accepted.
*TIH partnerships via Edzor CAITE.
Data Analytics Course Fee and Duration (with AI)
The course runs for 6 to 8 months, with about 594 hours of learning. Your fee includes certification and depends on the learning mode and certification option you choose.
| Learning mode | TIH at IIT Bombay or IIT Patna + NASSCOM-FutureSkills Prime | NASSCOM-FutureSkills Prime only |
|---|---|---|
| Classroom & Bootcamp (Bangalore) | INR 87,320 | INR 68,440 |
| Interactive live online | INR 80,240 | INR 59,000 |
| Blended eLearning | INR 70,800 | INR 53,100 |
These fees are for the Advanced Certification in Data Analytics with AI. You can also choose the standalone analytics track, which covers the core modules without AI and does not include TIH certification. Speak to a counselor for the standalone track fee.
You can pay in installments or use 0% interest EMI through our education financing partners.
Data Analytics Course Eligibility
You do not need prior knowledge of data analytics. The course is built for beginners, fresh graduates, and early-career professionals. A bachelor’s degree, basic math, and some exposure to statistics help, but none of them is mandatory.
Who This Course Suits
| Learner | Profile |
|---|---|
| Graduates and final-year students | From commerce, science, engineering, or management, aiming for an entry-level analyst role. |
| Working professionals | In finance, sales, operations, or marketing, moving into analytics. |
| Excel and MIS users | Adding SQL, Power BI, and Python to their reporting work. |
| Early-career switchers | With 0 to 3 years of experience, looking for a structured route into data roles. |
Admission and Application Process
Enrollment is personal, so an advisor helps you decide before you pay.
- Share your interest through the website, email, chat, or phone.
- Talk to a learning advisor. They review your education, experience, and goals, and check whether this course fits you. If another course suits you better, they will tell you.
- Choose your batch. Pick your location, batch date, and learning mode with the advisor.
- Reserve your seat by paying the admission fee.
Capstone Projects Included in Data Analytics Bangalore Course
In addition to multiple case studies used for class sessions, our data analyst course Bangalore includes the following assignments and projects for self-study and hands-on skills.
Our Data Analytics Project features a robust end-to-end pipeline that seamlessly handles data from collection through cleaning, transformation, and analysis. We meticulously sourced and cleaned diverse datasets applied advanced transformation techniques, and utilized cutting-edge tools for insightful analytics.
The streamlined pipeline enhances efficiency, ensuring high-quality, actionable results. This comprehensive approach underscores our commitment to excellence in data analytics, empowering informed decision-making.
When it comes to solving problems for business needs, the journey begins with the meticulous process of defining the business problem. This initial step sets the stage for the subsequent phases, starting with scoping the requirements.
Our problem-solving approach follows a systematic path from defining the business problem to deploying solutions. We begin by scoping requirements, setting analytics objectives, and carefully gathering and preparing data. The journey progresses through solution development, validation, and implementation, culminating in the crucial stages of tracking and fine-tuning. This comprehensive methodology ensures a strategic and effective approach to addressing business challenges.
Effective documentation is a cornerstone of successful projects, ensuring clarity, continuity, and collaboration. Embracing best practices in documentation streamlines processes and enhances overall project efficiency.
Emphasis is placed on clarity, coherence, and academic rigor. Additionally, integrating data analytics in practice is highlighted, showcasing its contemporary relevance in research methodologies. This ensures that the documentation meets academic standards and contributes meaningfully to the field of study.
Data Analytics Career Graph in Bangalore
Bengaluru has more global capability centers than any other Indian city. It holds about 29% of India’s GCC units and 34% of their workforce (Nasscom-Zinnov GCC Landscape Report 2026).
These centers hire analysts for finance, operations, marketing, and product teams. So do the city’s banks, e-commerce companies, and startups. Most analysts start in an entry-level role, then move to senior analyst and analytics or BI lead positions.
| Career stage | Indicative pay in Bangalore |
|---|---|
| Data Analyst (fresher) | INR 5 to 7 LPA |
| Senior Data Analyst | INR 12 to 20 LPA |
| Lead or Data Analyst IV | INR 20 LPA and above |
Pay varies by industry and experience. Source: AnalytixLabs Data Science Salary Report.
Classroom Sessions
₹ 61,360/- including taxes
EMI starts @ 8,260
EMI Options
*Pay in easy EMIs starting at INR ₹6387 per month.
- Fees payable in up to 3 installments
- 0% Interest EMI – Pay in Easy Installments (though education financing partners)
- Cost-effective courses with high ROI, making it worth every penny you invest.
Interactive Live Online
₹ 53,100/- including taxes
EMI starts @ 8,260
EMI Options
*Pay in easy EMIs starting at INR ₹6387 per month.
- Fees payable in up to 3 installments
- 0% Interest EMI – Pay in Easy Installments (though education financing partners)
- Cost-effective courses with high ROI, making it worth every penny you invest.
Blended eLearning
₹ 47,200/- including taxes
EMI starts @ 8,260
EMI Options
*Pay in easy EMIs starting at INR ₹6387 per month.
- Fees payable in up to 3 installments
- 0% Interest EMI – Pay in Easy Installments (though education financing partners)
- Cost-effective courses with high ROI, making it worth every penny you invest.
Top Job Roles You Can Explore in Bangalore
| Role | What you do day to day | Tools |
|---|---|---|
| Data Analyst | Pull data with SQL, spot trends, and explain what changed and why. | SQL, Excel, Power BI, Python |
| Business Analyst | Turn business questions into analysis and present options to stakeholders. | Excel, SQL, Power BI |
| MIS or Reporting Analyst | Build and maintain the daily, weekly, and monthly reports that teams rely on. | Excel, Power BI, SQL |
| Business Intelligence Analyst | Design the dashboards and data models that managers use to track performance. | Power BI, SQL, data modeling |
| AI Analyst | Use generative AI tools to speed up data preparation, analysis, and reporting. | Generative AI tools, prompt design, Python |
Flexible Payment Options Across All Plans
Pay in up to 3 instalments · 0% Interest EMI via education financing partners · High-ROI programmes designed to deliver measurable career outcomes
Assignments
- 4 Basic exercises ( Excel, VBA, SQL & Power BI)
Projects
- Airlines data analysis and reporting
- Marketing & Sales data manipulation and analysis
- Sports equipment retail data analysis and visualization
- Consumer electronics pricing data analysis & visualization
- Sports event analysis and reporting
Programming Tools and Languages
Training Modes
Classroom & Bootcamp
Skill mastery with immersive, hands-on learning guided by mentors. Opt for either our intensive weekday bootcamps or flexible weekend classes to suit your schedule. Experience firsthand the power of in-person mentorship, available in weekday classroom bootcamps, ensuring a rich, experiential learning environment.
Fully Interactive Live Online
Blend the dynamic experience of traditional classroom with engaging, real-time interactive sessions, carefully tailored to meet the demand of busy schedules. This innovative approach ensures effective learning, fostering a deeper understanding and retention of knowledge.
Classroom Blended with eLearning
Fuse the rich atmosphere of classroom instruction with the flexibility and accessibility of eLearning modules, meticulously integrated to accommodate learning preferences. This unique blend ensures an optimal learning experience, empowering participants to delve into subjects deeply.
Certification
Owing to our well established domain expertise and prestigious clientele in India and overseas, AnalytixLabs certification is highly regarded in the industry. Being India’s top ranked Data Science institute it is imperative that we uphold the sanctity of our certification process.
Certification is awarded after the fair evaluation of mandatory case studies, assignments, MCQs, and viva included in the course.
Certification must be completed within one year of course registration.
In case the assignments and projects are not up-to-the-mark, trainees are welcome to take help and support for improvisation. But no kind plagiarism will be tolerated during evaluation.
Our objective is to ensure that trainees get vital hands-on experience so that they are well-prepared for job interviews along with a performance at their jobs.
Data Analytics Course in Bangalore with Placement Support
The course builds the skills analyst roles ask for, then supports your job search. Faculty guide you on applications, interview preparation, and mock interviews. When suitable openings come up, we refer your resume to companies.
Learn more about our Job Guarantee Program: https://www.
Placement Readiness Program
After certification, you join a 6 to 8 week Placement Readiness Program.
It covers resume building, interview coaching, real-world simulations, and job search planning. You get personalized feedback and industry referrals along the way.
Diverse Job Opportunities
Job opportunities come through our direct links with organizations, recruiters, and the AnalytixLabs alumni network.
Companies in Bangalore that have hired our alumni: CultFit, Flipkart, Bank of India, Infosys, JP Morgan, Accenture , Genpact, etc.
Results depend on both your effort and our support. Active participation and finishing the course on time make the biggest difference.
Continued Career Support
Support continues after the Placement Readiness Program ends.
Our team keeps sharing job openings, helps with interview preparation, and guides you until you reach your career goal.
How To Apply
select your course, complete the registration form, and make payment.
Submit your application
Submit your application by filling out the form, providing necessary details, and clicking submit to complete the process.
Give a selection test
Take the selection test to demonstrate your skills and knowledge. This will help us assess your readiness for the course.
Reserve your seat
Reserve your seat today to secure your spot in the course. Act fast, as spaces are limited and fill quickly!
Payment
Complete your payment to finalize your enrollment in the course. Choose your preferred payment method and follow the prompts to proceed.
Top Companies Hiring Our Alumni in Bangalore
What Students Say About Us?
True Stories, Transformative Career Experience
Piyush Ganar, Class of 2012 IIM Ahmedabad
(Director of Operations, Kenty.AI)
The course material is very easy to understand and the case studies were based on real time business problems. What I love the most about Sumeet and his team is that they never operated the institute like a typical commercial enterprise but more like a temple for learning. The gates of Alabs are always open for students for any kind of help and guidance. I would recommend ALabs to all.
Raajeev Kumar Sahu
(Senior Manager – Data Science, FinTech Startup)
I am from Advance Big Data Science course of Nov 2016 batch. The course was very structured and got real world problems to practice during the final case studies. It has also boosted my skills to start participating in the hackathons. Chandra sir was really helped me in preparing my resume right from very beginning of the course. Also, the placement team was very well organized and connected to industry leaders so that people get the right opportunity right after completing the course. I really recommend this institute, who are interested to transition into analytics field.
Sumit Asthana
(Assistant Manager, Senior Data Scientist)
The rapid pace at which the institutes are mushrooming all over India and Facebook newsfeed being inundated with thousands of options for analytics training, there are only handful of training institutes or rather say only couple of places where they prepare you to foray into rapidly growing analytics vertical. I have been working into legacy systems for past 5 years and was quite apprehensive if I will ever break into data science successfully.
Surbhi Sultania
(Analytics Manager, Mastercard Data & Services)
I took three months Big Data training from Analytix labs. Before joining this course, I had so many questions and doubts that will this course be worthy enough but later I found myself lucky to join this program. All trainers are amazing and always ready to help. Live examples and Case Studies are given which helps in understanding the concept and hands on practice.Not only they help in quality in depth knowledge transfer but also tend to give right direction to your career.
Vibhu Gautam
(Professor of Practice – Computer Science, UPES)
I had been associated with AnalytixLabs since 2012. This has been possible because of the mentor ship and support you get from faculty there specially from Sumeet and Chandra.I did a Business Analytic course with a focus on Marketing Analytic. The course deliver had been great and most importantly you never feel like you are part of formal classroom teaching. You are mentored there at every step, from Code Errors to Understanding Statistics behind it.
Data Analytics Course in Bangalore - Upcoming Batches
Sign up for a Free Demo Class
Benefits of Demo Account
- Get access to trial sessions to choose the most suitable course.
- SAVE UP TO 40% on specialization learning tracks.
- JOB ORIENTED COURSES crafter and delivered by industry experts.
- INDUSTRY RELEVANT programs with latest curriculum.
Want to see how it works?
Frequently Asked Questions
What are the Data Analyst Course fees in Bangalore?
Fees depend on the learning mode and certification option. Classroom training costs INR 68,440, or INR 87,320 with certification from TIH at IIT Bombay or IIT Patna. Live online starts at INR 59,000 and blended eLearning at INR 53,100, with installment and 0% EMI options.
Do you offer offline data analytics classes in Bangalore?
Yes. Classroom batches run at our Bangalore center on weekdays and weekends. If you cannot travel, you can take the same course in live online classes.
Is this data analyst course in Bangalore offered with placement support?
Yes. After certification, you join a 6 to 8 week Placement Readiness Program with resume reviews, mock interviews, and referrals. You can also opt for our Job Guarantee Program. Eligibility criteria apply, and the full terms are on our Placements page.
Where is the AnalytixLabs data analytics institute in Bangalore?
Our center is at the back gate of the BDA Complex, 12th Main Road, Sector 6, HSR Layout, opposite A2B. It is close to Koramangala, BTM Layout, Agara, and Bellandur. Find us on Google Maps.
What are the career opportunities for data analysts in Bangalore?
Bangalore’s global capability centers, banks, e-commerce companies, and startups all hire analysts. Roles include data analyst, business analyst, MIS analyst, analytics consultant, and statistical analyst. Openings span IT, finance, healthcare, telecom, and manufacturing.
What are the prerequisites, and is the course difficult?
No prior analytics knowledge or coding is required. The course starts with SQL, Python, and statistics basics and builds up through hands-on practice. Many learners start with only Excel experience.
Will I work on real-world projects?
Yes. Capstone projects use real business datasets, such as sports event analysis and airline data analysis. They help you apply each tool the way analysts do on the job.
We’re here to guide you through this journey, ensuring that lack of coding proficiency won’t hinder your success in pursuing a career in data analytics.
Is this course tailored to the Bangalore job market?
Yes. Projects and career guidance reflect what Bangalore employers look for, including the AI skills now common in analyst roles here. Guidance covers global capability centers, product companies, and startups.
Should I choose the data analyst course or the data science course?
Choose data analytics if you want to report, visualize, and explain business data. Choose data science if you want to build predictive models with machine learning. See the Data Science Course in Bangalore for its syllabus.
Which certification will I receive?
Every learner earns NASSCOM-FutureSkills Prime certification, an initiative of MeitY, Government of India, along with AnalytixLabs certification. On the Data Analytics with AI track, you can also earn certification from TIH at IIT Bombay or TIH at IIT Patna.
What happens if I miss a class?
You can catch up through the learning management system, which you can access for the full course duration. You can also clear doubts with faculty by email, online, or in person at the center.
Data Analytics Course in Other Cities
The same course is also offered in other cities and online:
Excited?
Talk to Expert
Counselor
to gain insights into your profile and
strategize your next career move!
