What are the modes of training offered at MNP Technologies?

MNP Technologies offers Instructor-Led Live Training through three flexible formats: Classroom Training at the Marathahalli center, Online Training for remote learners, and Corporate Training tailored for company teams.

Do you provide placement assistance after course completion?

Yes! MNP Technologies offers 100% placement assistance including resume building, mock interviews, and connections with hiring partners to help you secure jobs in top companies.

Are the trainers certified and experienced?

Absolutely. All trainers at MNP Technologies are real-time industry professionals with years of experience and in-depth subject expertise.

Can I attend a demo session before enrolling?

Yes, MNP Technologies encourages students to attend a free demo session to understand the teaching methodology and course structure before enrolling.

Data Analytics Training in Bangalore

Master Excel, SQL, Power BI, Python & Tableau with live projects and real industry mentors. Get job-ready in 40 hours — with 100% placement support.

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Data Analytics is Bangalore’s fastest-growing career track

Bangalore hosts over 67,000 tech companies. Every one of them needs people who can turn raw data into decisions. Whether you’re in marketing, finance, operations, or IT knowing how to work with data gives you a measurable edge in your career.

The average starting salary for a Data Analyst in Bangalore is ₹5–8 LPA for freshers, rising to ₹12–22 LPA with 3+ years of experience. Senior roles at MNCs like Infosys, Wipro, and Accenture regularly post ₹25 LPA+ for analytics leads.

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Course Duration & Timings

Our team of experts at MNP Technologies in Marathahalli, Bangalore, have designed the syllabus based on students’ requirements to help everyone achieve their career goal. The fee structure is economical and tailor-made based on your training needs.

We provide regular day-time classes, weekend classes, and fast-track batches at our centres located across Bangalore, along with online options.

What you’ll work with

Every tool in this course is directly mapped to what Bangalore employers ask for in job descriptions.

Microsoft Excel & Advanced Excel

Power BI

SQL & MySQL

Python (Pandas, NumPy, Matplotlib)

Tableau

Statistics & Probability

Google Analytics

Excel Macros & VBA Basics

Data Storytelling & Dashboards

Data Analytics Course Syllabus

Microsoft Excel

Getting Started with Excel: Interface, Workbooks & Worksheets
Data Entry and Formatting: Number Formats, Alignment
Basic Formulas: SUM, AVERAGE, COUNT, MAX, MIN
Logical Functions: IF, AND, OR, NOT
Lookup Functions: VLOOKUP, HLOOKUP
Advanced Lookups: INDEX, MATCH, Combined INDEX-MATCH
Text Functions: LEFT, RIGHT, MID, LEN, CONCATENATE
Data Validation and Conditional Formatting
Pivot Tables and Pivot Charts
Dashboarding in Excel: Charts, Slicers, Interactivity
Importing and Cleaning Data
Excel Data Analysis ToolPak Add-in

SQL

Database Concepts: RDBMS, Tables, Keys
SQL Basics: SELECT, INSERT, UPDATE, DELETE
WHERE Clause, Operators, LIKE, IN, BETWEEN
Aggregate Functions: COUNT, SUM, AVG, MIN, MAX
GROUP BY, HAVING, ORDER BY
Joins: INNER, LEFT, RIGHT, FULL OUTER
Subqueries and Nested Queries
Window Functions: RANK, DENSE_RANK, ROW_NUMBER, NTILE
Creating and Modifying Tables: CREATE, ALTER, DROP
Views and Indexes

Power BI

Introduction to Power BI
Connecting to Data Sources: Excel, SQL, Web
Power Query: Data Cleaning and Transformation
Data Modelling: Relationships, Normalisation, Star Schema
DAX Fundamentals: Calculated Columns, Measures, Time Intelligence
Creating Visualisations: Bar, Line, Pie, Map, Card, Table
Slicers, Filters, Drillthrough, Tooltips
Report Design and Formatting
Publishing and Sharing on Power BI Service
Add-on: Tableau

Python

Introduction to Python and IDEs: Jupyter Notebook, VS Code
Python Basics: Syntax, Variables, Data Types, Type Conversion
Operators: Arithmetic, Logical, Comparison, Assignment
Data Structures: Lists, Tuples, Sets, Dictionaries
Conditional Statements: if, elif, else
Loops: for, while, Nested Loops, Loop Control
Functions: Defining, Arguments, Return, Lambda Functions
Modules and Packages: Importing, Creating Custom Modules
Exception Handling: try, except, finally, raise
File Handling: Reading and Writing Files (.txt, .csv)
NumPy: Arrays, Indexing, Broadcasting, Vectorised Operations
Pandas: Series, DataFrame, Filtering, Aggregation, GroupBy, Merging
Matplotlib: Line Chart, Bar Chart, Pie Chart, Histogram, Boxplot, Subplots

Who should join this course

Fresh graduates

From any stream BE, BCom, BBA, BSc — looking to enter a high-paying analytics career without a computer science background.

Finance & accounting professionals

CAs, MBAs, and finance executives who want to add Power BI & data storytelling to their skill set and step into data-driven roles.

Marketing & sales professionals

Digital marketers, brand managers, and sales leads who need to analyse campaign performance, funnels, and customer data independently.

Software professionals

Developers, testers, and IT professionals looking to transition into data analyst or BI developer roles with higher pay and business exposure.

Operations & supply chain professionals

People in logistics, manufacturing, or procurement who want to drive decisions using dashboards and real-time data analysis.

Career changers

Anyone in their 20s–40s looking to break into the tech sector without writing code data analytics is one of the most accessible entry points.

Key Benefits

Discover Our Unique Learning Advantages

Real Time Trainers

Learn from industry experts with hands-on experience in real-time projects and current technologies.

100% Placement Assistance

Get end-to-end support with resume building, interview preparation, and job referrals to top companies.

Flexible Timings

Choose from weekday or weekend batches to suit your schedule — ideal for students and working professionals.

Excellent Lab Facility

Access modern, fully-equipped labs to practice and perfect your skills during and after sessions.

Practical Guidance

Move beyond theory with practical insights, real-world case studies, and mentor-led guidance.

Hands on Experience

Work on live projects and real-time assignments to gain confidence and job-ready expertise.

Certificate Support

Receive course completion certificates and guidance for global certification exams in your domain.

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Frequently Asked Questions

Find answers to commonly asked questions about the course

What is Data Analytics in simple words?

Data Analytics is the process of examining raw datasets to uncover hidden patterns, trends, and insights, which helps businesses make smarter, data-driven decisions.

Is Data Analytics a good career option for freshers with no coding experience?

Yes, because tools like Excel, Power BI, and Tableau require zero coding and rely entirely on logical thinking and visual dashboards to analyze data.

What core tools and technologies are covered in a Data Analytics curriculum?

A comprehensive roadmap covers Advanced Excel, SQL (database querying), Power BI or Tableau (data visualization), and foundational Python or R for statistical analysis.

What is the difference between a Data Analyst and a Data Scientist?

A Data Analyst looks at past historical data to solve specific business problems, while a Data Scientist creates complex predictive algorithms and machine learning models to forecast future trends.

What is the average starting salary for an entry-level Data Analyst in Bangalore?

The average starting salary for a trained fresher or entry-level Data Analyst in Bangalore typically ranges from ₹3.5 Lakhs to ₹5.5 Lakhs per annum (LPA).

Do I need a strong math or statistics degree to become a Data Analyst?

No, you do not need an advanced degree; mastering practical business formulas, basic percentages, averages, and data visualization tools is more than enough to land a job.

What are the fees for the Data Analytics course at MNP Technologies?

The educational investment for our industry-aligned Data Analytics certification track ranges between ₹30,000 to ₹45,000 which includes custom case studies and portfolio building.

What is the duration of the Data Analytics program at MNP Technologies?

The end-to-end Data Analytics program spans 90 hours of intensive corporate mentoring and practical, project-based lab sessions.