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Data Analytics Course with Gen AI & Agentic AI in Bangalore

2,235 Ratings

Instructor-led data analytics training with iHUB IIT Roorkee Certification, industry-rooted projects, and placement support for top companies in Bangalore.

  • Learn offline from Industry experts, SME’s on weekdays and weekends with hands-on project supervision.
  • Career Services: Personality Development, Interview Prep, Soft-Skill Session, and placement assistance with 3,100+ Partners.
  • Gain expert-level skills in Machine Learning, Python, Microsoft Excel, SQL, and Power BI.
  • Get certified from iHUB IIT Roorkee (An Innovation Hub of IIT Roorkee) & Microsoft
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Data Analytics Job Trends in Bangalore

52%
rise in data analytics jobs
Cornerstone Global State of the Skills Economy, 2024
45%
increase in analytics roles in Bangalore
Naukri.com, 2025
18K+
Open Data Analytics jobs in Bangalore
LinkedIn Jobs, Aug 2025

Key Highlights

140 Hrs offline Training from Industry Experts & SME’s
Learn online from IIT Faculty
224 Hrs Projects & Exercises
112 Hrs Self-Paced Videos & 50+ Industry Case Studies
Certification from iHUB IIT Roorkee & Microsoft
Career Services & Placement Support
2 Days Campus Immersion at IIT Roorkee
24/7 Support & AI-Powered LMS
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Data Analytics Course in Bangalore Overview

What companies hire Data Analytics professionals in Bangalore?

Companies in Bangalore are always looking for talent who can work with data, love crunching numbers, spot patterns, and turn them into clear business insights. That skill is valued across sectors like e-commerce, SaaS, fintech, consulting, and product firms. As a data analyst, you’ll often start in key roles that involve building dashboards, solving business problems, and supporting decisions that impact efficiency, growth, and operations.

Here are realistic entry-level ranges you can expect after completing your course:

Company Entry-level Data Analyst Salary (Approx.)
Flipkart ₹5.5 L to ₹8.5 L
Amazon ₹5.0 L to ₹8.0 L
Google ~₹12.0 L
Microsoft ₹9.0 L to ₹12 L
Swiggy ₹7.4 L to ₹12 L
PhonePe ₹6.5 L to ₹12 L
Razorpay ₹5.8 L to ₹10.2 L
Freshworks ₹5 L to ₹10.0 L

The classroom training is taken by Industry experts & SME’s. You will also get a chance to learn from IIT faculty in online mode. You’ll learn both the structured foundations and the practical know-how needed to solve complex business problems.

AI hasn’t replaced data analysts, but it has for sure reshaped the role. Tasks like data collection, cleaning, and even parts of analysis are faster now with Generative AI and Agentic AI. What this really means is that analysts today spend less time on grunt work and more time on interpretation, strategy, and making decisions count.

We have designed this program to be future-proof with the growing trends of Artificial Intelligence. Along with SQL, Excel, Python, PySpark and Power BI, you will learn modules on Generative AI and Prompt Engineering using tools like ChatGPT, Copilot, RAG, and large language models. These skills help speed up data collection, automate cleaning, and enhance analysis, making you more efficient and aligned with industry trends.

Since this is an offline, instructor-led program, we’ve consciously kept the batch size small. A limited cohort allows mentors to give every learner the attention they need through rigorous training, constant feedback, and regular check-ins. This approach ensures you’re not just covering concepts but actually building the depth, discipline, and confidence required to compete for data analytics roles in Bangalore’s competitive job market.

This course is ideal for candidates who are looking to pursue their career in Data Analytic. Young graduates & working professionals both can apply to this program. This program prepares them to master skills required to become a successful data analyst.

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Career Transition

55% Average Salary Hike

40 LPA Highest Salary

40 LPA Highest Salary

10000+ Career Transitions

3100+ Hiring Partners

Career Transition Handbook

*Past record is no guarantee of future job prospects

25+ Skills Covered under this Data Analytics Course

SQL for Data Analysis

Stored Procedures & Triggers

Data Visualization with Power BI

DAX Queries and Drillthrough

AI Visuals & Copilot in Power BI

Python Programming for Data Analysis

Data Structures, Loops, Functions, OOPs

NumPy, Pandas, Matplotlib, Plotly, Seaborn

Excel for Data Analytics

VLOOKUP, XLOOKUP, INDEX, MATCH

Pivot Tables, Crosstabs, VBA & Macros

MS Copilot for Reporting

Business Analytics with Statistics & Probability

Hypothesis Testing, Correlation & Regression

ANOVA, Chi-Square, Time Series

Big Data & PySpark| DataFrames, Data Loading, Cleaning, Joins

Data Pipeline Optimization

Generative AI for Data Analytics

Prompt Engineering, ChatGPT, RAG, LLM

Real-World Case Studies & Capstone Projects

R Programming (Elective)

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12+ Data Analytics Tools Covered

SQL 1 excel 1 Power BI python 2 pandas numpy 2 matplotlib plotly Seaborn 1 R programming github pyspark 1

Data Analyst Course Fee in Bangalore

Offline Classroom

Weekday (Mon-Fri)

29 Jun 2026 08:00 AM - 10:00 AM
Weekend (Sat-Sun)

05 Jul 2026 02:00 PM - 05:00 PM
Premium
Intellipaat and MS
  • Intensive curriculum covering basic to advance concepts
  • Lifetime access to the class recordings & self learning modules
  • Placement support, Mock interviews, Resume Prep
  • Certification from Intellipaat, NSDC & Microsoft
Rs 55,000 (Inclusive of Taxes)
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Elite
Intellipaat MS and ihub
  • All benefits of Premium Plan
  • Advanced Certification from iHUB, IIT Roorkee
  • 2 days campus immersion at iHUB, IIT Roorkee
  • Master classes by IIT Faculty in online mode
Rs 75,000 (Inclusive of Taxes)
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*Pay in easy EMI starting from Rs 4000 per month

Corporate Training

  • Customized Learning
  • Enterprise Grade Learning Management System (LMS)
  • 24x7 Support
  • Enterprise Grade Reporting

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Data Analytics Syllabus

Live Course Self-Paced

Module 1 - Data Analytics Foundation & Business Thinking

  • Understand the role of a Data Analyst in real companies
  • Learn how businesses use data for decision-making
  • Understand KPIs, metrics, dashboards and reports
  • Learn the complete data analytics lifecycle
  • Build analytical thinking for sales, marketing, finance and operations data
  • Identify job-readiness gaps through assessment-based learning
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  • Master Excel formulas like VLOOKUP, XLOOKUP, INDEX and MATCH
  • Clean, format and transform business data in Excel
  • Build Pivot Tables, Pivot Charts and business reports
  • Use filters, conditional formatting and data validation
  • Learn Power Query for data cleaning and automation
  • Use Gen AI and Copilot to speed up Excel-based analysis
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  • Learn SQL fundamentals for querying business databases
  • Work with Joins, Subqueries, CTEs and Window Functions
  • Clean, filter and transform data using SQL queries
  • Perform business analysis using real-world datasets
  • Understand data warehousing and structured data concepts
  • Practice SQL questions commonly asked in fresher interviews
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  • Learn Python programming from basics to practical usage
  • Work with variables, loops, functions and data structures
  • Understand lists, dictionaries, tuples and sets
  • Learn file handling, APIs and automation basics
  • Write Python scripts for simple business tasks
  • Build confidence for Python-based interview questions
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  • Analyze data using NumPy and Pandas
  • Clean missing, duplicate and inconsistent data
  • Perform Exploratory Data Analysis on real datasets
  • Create charts using Matplotlib, Seaborn and Plotly
  • Work with CSV, Excel and JSON files
  • Automate data analysis and reporting using Python
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  • Understand how Gen AI is transforming data analytics roles
  • Use ChatGPT, Gemini and Claude for analytics tasks
  • Write better prompts for SQL, Excel, Python and Power BI
  • Generate business insights, summaries and reports using AI
  • Use AI to explain dashboards and data patterns
  • Learn prompt optimization and structured output generation
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  • Understand LLM fundamentals, tokens and context windows
  • Work with OpenAI, Gemini and Claude APIs
  • Learn LangChain basics for AI application development
  • Understand embeddings, semantic search and vector databases
  • Build Retrieval-Augmented Generation workflows
  • Create AI-powered knowledge search and reporting applications
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  • Learn the fundamentals of autonomous AI agents
  • Understand agent architecture, tools and memory
  • Build AI agents that can analyze data and generate reports
  • Learn function calling and AI workflow automation
  • Explore multi-agent collaboration and orchestration basics
  • Work on real-world AI Data Analyst Agent use cases
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  • Learn descriptive statistics such as mean, median and standard deviation
  • Understand probability, distributions and sampling concepts
  • Use correlation and covariance to find data relationships
  • Learn hypothesis testing and A/B testing basics
  • Detect outliers and interpret data patterns
  • Apply statistics to real business decision-making problems
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  • Understand the basics of supervised and unsupervised learning
  • Learn Linear Regression, Logistic Regression and Decision Trees
  • Understand classification, prediction and clustering use cases
  • Learn model evaluation using accuracy, precision, recall and F1 score
  • Work on churn prediction, loan approval and fraud detection use cases
  • Interpret machine learning results for business users
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  • Build interactive dashboards using Power BI
  • Clean and transform data using Power Query
  • Create data models and relationships
  • Write DAX measures and calculated columns
  • Use slicers, drillthrough, bookmarks and AI visuals
  • Publish dashboards and present business insights effectively
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  • Work on sales, marketing, finance and HR analytics use cases
  • Analyze customer behavior, revenue and business performance
  • Build KPI dashboards for real-world business teams
  • Learn funnel analysis, retention analysis and churn analysis
  • Convert raw data into actionable business insights
  • Practice business storytelling for interviews and presentations
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  • Build Excel, SQL, Python and Power BI portfolio projects
  • Create an end-to-end business analytics dashboard
  • Build an AI Data Analyst Agent project
  • Create automated business reports using Gen AI
  • Develop a final capstone project for resume and interviews
  • Showcase projects on GitHub and LinkedIn
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  • Build a job-ready resume and LinkedIn profile
  • Create a strong GitHub portfolio for interviews
  • Practice SQL, Python, Power BI and analytics interview questions
  • Attend mock interviews and placement readiness assessments
  • Improve communication and personality for interviews
  • Get one-on-one career mentoring and job application guidance
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  • R Basics & Operators
  • Data Types & Data Structures
  • Conditional Statements
  • Loops
  • Data Import & Inspection
  • Data Cleaning
  • Missing Value Handling
  • Data Type Conversion
  • Exploratory Data Analysis
  • Descriptive Statistics
  • Data Manipulation & Filtering
  • Feature Engineering
  • Data Visualization
  • Interactive Visualization
  • Machine Learning Data Preprocessing
  • Train-Test Splitting
  • Linear Regression
  • Logistic Regression
  • Model Evaluation Metrics
  • Prediction & Inference
  • ML Visualization & Residual Analysis
  • Classification Metrics & Confusion Matrix
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  • Spark architecture, DataFrames, data loading, cleaning, joins & SQL for analytics.
  • EDA, optimize large datasets, data manipulation, data visualizations, & data pipeline.
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Data Analytics Projects

Career Services

Career Services
guaranteed
Placement Assistance
job portal
Exclusive access to Intellipaat Job portal
Mock Interview Preparation
One-on-One Career Mentoring Sessions
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Career Oriented Sessions
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Resume & LinkedIn Profile Building
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Data Analyst Certification in Bangalore

On successful completion, you will receive the certification from iHUB IIT Roorkee (An Innovation Hub of IIT Roorkee) and Microsoft. In addition, you are prepared to clear official examination in:

  • Microsoft SQL
  • Microsoft Power BI

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FAQ

What is data analytics?

Data analytics involves analyzing data sets to draw conclusions and make informed decisions. It utilizes various techniques, tools, and algorithms to extract meaningful insights from data, facilitating business improvement and strategic planning.

This program is designed to give you a complete toolkit for analytics. You’ll build strong foundations and then apply them through hands-on projects. Key tools and technologies you’ll work with include:

  • SQL for querying and automation
  • MS Excel with Pivot Tables, VBA, and Copilot
  • Power BI with DAX, AI visuals, and Copilot
  • Python with NumPy, Pandas, Matplotlib, Plotly, Seaborn
  • PySpark for big data analytics
  • Statistics and Probability with Hypothesis Testing, Regression, ANOVA, Time Series
  • Generative AI and Prompt Engineering using ChatGPT, Copilot, RAG, LLM
  • R Programming

By the end of this course, you’ll know how to clean, visualize, and interpret data, automate workflows, and apply AI tools to solve business problems.

All three roles work with data, but their focus is different.

  • A Data Analyst digs into raw numbers, cleans them, and turns them into reports or dashboards that explain what has happened.
  • A Business Analyst examines those insights within the context of business goals and processes, inquiring about what should be changed or improved.
  • A Data Scientist goes further, using statistics and machine learning to build models that predict what is likely to happen next.

For example, in a Bangalore fintech company, a Data Analyst might track how many customers are leaving each month, a Business Analyst would recommend process changes to reduce churn, and a Data Scientist would build a predictive model to forecast which customers are most at risk.

This course has been developed in collaboration with iHUB IIT Roorkee to reflect exactly what companies in Bangalore look for. The program offers classroom learning with projects that mirror real business problems. You will practice with SQL, Excel, Python, Power BI, PySpark, and even Generative AI. On top of that, you get personal guidance, resume and interview prep, and access to thousands of hiring partners.

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Our Bangalore Mailing Address

Address – Intellipaat NxtGen Learning Centre Site No 24, Outer Ring Rd, BTM 2nd Stage, Kuvempu Nagar, BTM 2nd Stage, BTM Layout, Bengaluru, Karnataka – 560076, India. Call Us: +91-9986788427