Best Data Analytics Training Institute in Marathahalli, Bangalore
Become a Job-Ready Data Analyst with AI-Powered Skills
Looking for data analytics training in Bangalore? Learn Excel, SQL, Python, Power BI, Statistics, and fundamental Machine Learning at our Marathahalli centre, integrated with AI tools at every stage, with real time, hands on projects and a capstone case study. Curriculum shaped by 15+ years of MNP’s technical training experience, with placement assistance and a max batch size of 20.
Real-time industry trainers
Certificate on completion
Classroom + online available
Flexible batch timings
Build Data Analytics Skills That Work Across Industries
Data Analytics isn't tied to one industry or one type of company. Retail, e-commerce, BFSI, IT services, and manufacturing all rely on data driven decision making, which means the skills you build here transfer across sectors, not just one job market. This course is structured around the full analytics stack, Excel, SQL, Python, and Power BI, with AI tools woven into every module, so what you learn maps to how analytics teams actually work today, not just theory. Bangalore’s IT, e-commerce and BFSI employers hire data analysts every year, which makes a data analytics course in Bangalore a practical way to start.
Runs Across Every Industry
Retail, e-commerce, BFSI, IT services, and manufacturing all rely on data analysts, so your skills aren't locked to one sector.
Built for the AI Era of Analytics
Every module includes AI integration, from formula generation and SQL debugging with ChatGPT to Power BI Copilot and AI assisted EDA, reflecting how analytics teams work today.
Enterprise Recognized Skillset
Used by global enterprises and Indian conglomerates alike, making the skill portable across company size and geography.
Data Analyst Salary in Bangalore.
Fresher entry around ₹3.5 to 5.5 LPA, moving to ₹6 to 10 LPA within 1 to 2 years and ₹11 to 18 LPA with 2 to 4 years of experience.
Learn the Tools Employers Actually Use
Build practical, job-ready analytics skills with industry-relevant tools and technologies used across Bangalore’s data and business analytics roles.
Your Step-by-Step Path to Becoming a Data Analyst
This Data Analytics course in Bangalore covers the complete analytics stack, from Excel and SQL to Python, Power BI, statistics, and machine learning fundamentals, with AI integration built into every week and a project at the end of most modules.
Excel for Data Analytics (Part 1)
- Excel Fundamentals: introduction to the Data Analytics lifecycle, role of a Data Analyst, understanding business data, Excel interface and productivity features, data types in Excel
- Data Cleaning and Preparation: remove duplicates, text to columns, flash fill, find and replace, data validation, conditional formatting
- Essential Formulas: SUM, AVERAGE, MIN, MAX, COUNT, COUNTA, COUNTIF, SUMIF, SUMIFS, IF, IFS, AND, OR, nested IF
- AI Integration: using ChatGPT for formula generation, formula explanation using AI, cleaning dirty data with AI assistance
Excel for Data Analytics (Part 2)
- Advanced Excel: VLOOKUP/HLOOKUP/XLOOKUP, INDEX + MATCH, FILTER, SORT, UNIQUE
- Pivot Tables and Reporting: pivot tables, pivot charts, slicers, interactive reports
- Power Query Basics: importing data, data transformation, merging queries, appending data
- AI Integration: AI assisted dashboard design
- Mini Project: Retail Sales Dashboard in Excel
SQL for Data Analytics (Part 1)
- Database Fundamentals: database concepts, RDBMS vs. DBMS, tables, rows, columns, primary and foreign keys
- SQL Basics: SELECT, WHERE, ORDER BY, DISTINCT, LIMIT/TOP
- Filtering and Aggregation: COUNT, SUM, AVG, MIN, MAX, GROUP BY, HAVING
- AI Integration: SQL query generation using AI, SQL error debugging using ChatGPT
- Assignment: Business Query Challenges
SQL for Data Analytics (Part 2)
- Joins: INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN, SELF JOIN
- Advanced SQL: subqueries, CTEs, CASE statements, window functions
- Analytical SQL: RANK, DENSE_RANK, ROW_NUMBER, running totals, cohort analysis basics
- AI Integration: converting business questions to SQL, AI assisted query optimization
- Project: E-Commerce SQL Analysis
Power BI for Data Analytics
- Power BI Fundamentals: Power BI ecosystem, data sources, data import
- Data Modeling: relationships, star schema, snowflake schema
- Power Query: data cleaning and transformation
- DAX: calculated columns, measures, time intelligence
- Dashboarding: KPI cards, drill through, tooltips, bookmarks, publishing reports
- AI Integration: Power BI Copilot, AI visuals, AI based insight narratives
- Project: Executive Sales Dashboard
Statistics for Data Analytics
- Descriptive Statistics: mean, median, mode, variance, standard deviation
- Probability Basics: probability concepts, conditional probability, introduction to Bayes' concept
- Data Distributions: normal distribution, skewness, kurtosis
- Inferential Statistics: sampling, confidence intervals, hypothesis testing
- Correlation and Regression: correlation analysis, linear regression concepts
- AI Integration: AI assisted statistical interpretation, explaining statistical results with LLMs
- Project: Customer Satisfaction Statistical Analysis
Python for Data Analytics (Part 1)
- Python Fundamentals: variables, data types, operators, input and output
- Control Structures: if-else, loops, functions
- Data Structures: lists, tuples, dictionaries, sets
- File Handling: CSV files, Excel files
- AI Integration: AI coding assistant, prompt engineering for Python
- Assignment: Data Cleaning and Analysis of Data
Python for Data Analytics (Part 2)
- NumPy: arrays, vectorized operations, mathematical functions
- Pandas: DataFrames, filtering, aggregation, GroupBy, merge, pivot
- Data Visualization: Matplotlib, Seaborn, business visualizations
- Fundamentals of Machine Learning: what is Machine Learning, types of ML, train-test split, feature engineering basics
- Algorithms: Linear Regression, Logistic Regression, Decision Tree, Random Forest
- AI Integration: using Generative AI for EDA, automated insight generation, building analytics reports with AI
- Capstone: End-to-end Data Analytics Capstone Project
Who Should Join This Data Analyst Course In Bangalore

Choose a Batch That Fits Your Schedule
This Data Analytics training in Marathahalli Bangalore with placement support is offered across multiple batch formats, all covering the same 8 week, approximately 160 hour curriculum with hands on projects.
Ideal for freshers and full time learners.
- 2 to 3 hrs/day · Mon to Fri
- Morning and evening slots
- 8 weeks total
- Max 20 students
Best suited for working professionals.
- 4 to 5 hrs/session · Sat to Sun
- No clash with office hours
- 10 to 12 weekends total
- Max 20 students
Trained by Industry Experts, Not Just Instructors
MNP's Data Analytics trainers bring over 15 years of combined analytics and training experience across Excel, SQL, Power BI, Python, and applied statistics. Every session is built around real business scenarios and the kind of questions that come up in data analyst interviews.
Data Analytics Lead Consultant15+ years in business analytics, reporting, and dashboard design across industries
SQL and Power BI SpecialistExpert in advanced SQL, DAX, data modeling, and executive dashboard design
Python and Machine Learning ExpertSpecializes in Pandas, data visualization, and fundamental ML algorithms for predictive analytics
From Data Analytics Training to Career Opportunities
Our Data Analytics course in Marathahalli with placement support includes:
Resume building with data analytics specific templates
Mock technical interviews with real data analyst interview questions
LinkedIn profile optimization
Direct referrals to hiring partners actively seeking data analysts
Weekly job notifications for data analytics, business analytics, and BI roles in Bangalore
Offer letter and salary negotiation guidance
What Our Students Say
These are real students who trained at MNP Technologies and went on to build careers in IT, SAP and cloud roles across Bangalore.
Frequently Asked Questions
Do I need a coding background or a specific degree to join this Data Analytics classes in Marathahalli, Bangalore?

No. The data analytics course starts with Excel in Week 1 and moves step by step through SQL, Power BI, statistics and Python, so you can join without coding experience. Freshers from any degree, MBA students, MIS executives, business analysts and working professionals switching careers are all eligible.
What is the data analytics course at MNP Technologies in Marathahalli, Bangalore?

MNP Technologies’ data analytics course in Marathahalli, Bangalore is an 8-week program covering Excel, SQL, Power BI, Python, statistics and machine learning basics, with AI tools used every week. You build real projects and a capstone and get placement assistance. Classroom and live online batches are available, with a maximum of 20 students.
How is AI used in the data analytics course?

AI is integrated into every week of the curriculum with practical, hands on use, including generating and explaining Excel formulas with ChatGPT, debugging and optimizing SQL queries with AI, using Power BI Copilot for dashboard insights, interpreting statistical results with LLMs, and using generative AI for exploratory data analysis and report building in Python.
What is the difference between this course and a pure Python or SQL course?

A standalone SQL or Python course typically teaches one tool in isolation. This Data Analytics course covers the complete analytics stack, Excel, SQL, Power BI, Python, and statistics, together, so you can move data between tools the way analysts do on the job, with AI support built in throughout.
What kind of job roles can I apply for after this course?

Graduates typically enter the market as Junior Data Analysts, Business Analysts, MIS Executives, Reporting Analysts, and Power BI Developers.
Will I get hands-on project experience during this course?

Yes. The program includes a mini project (Retail Sales Dashboard in Excel), multiple assignments and projects (E-Commerce SQL Analysis, Executive Sales Dashboard, Customer Satisfaction Statistical Analysis), and an end to end Data Analytics Capstone Project.
What are the data analytics course fees in Bangalore?

The data analytics course fee includes classes, real‑time projects, a course certificate, resume and mock interview support and placement assistance. Call +91 72599 12345. Book a free demo to find out the exact data analytics course fee and any EMI options, for your batch.
What is the duration of the Data Analytics program at MNP Technologies?

The program runs across 8 weeks, approximately 160 hours, depending on batch type and pace.
Is data analytics online training available in Bangalore?

Yes. MNP Technologies provides online data analytics training for students in Bangalore and all over India. You receive the trainer, the same curriculum and the same projects, as the Marathahalli classroom group. Classes are live not recorded, with Excel, SQL, Power BI and Python demonstrations and a maximum of 20 students.

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