Data Analyst Course in Mumbai with Placement Support

If you’re someone who loves solving problems, spotting trends, or turning numbers into stories, our Data Analyst Course in Mumbai is your perfect entry point into this fast-growing career.

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Data Analyst Course(#114)

Course Overview

Data is what Mumbai’s fast-paced business, film, and finance worlds are built on. From banks and e-commerce companies to media houses, businesses in Mumbai need data to make informed, intelligent decisions. The Data Analyst Course in Mumbai by PyNet Labs is designed to make you a data analyst professional, eligible to work in a business within a few months. 

We will teach you how to think like a Data Analyst, not just how to use analytics tools. If you enjoy solving complex problems, identifying and tracking patterns, and narrating stories with numbers, PyNet Labs’ Data Analyst Course is designed for you to get started on this expanding career. 

Get hands-on experience and a command of industry essentials like Excel, SQL, Python, Power BI, Tableau, and more. Learn to work on professional assignments and gain the ability to enter the data world and take on projects with confidence. Here’s what you’ll learn in this course: 

You will get in-depth guidance to help you complete the course and obtain an industry-recognized certificate. 

Data Analyst Course

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What is Data Analytics?

Data analytics is the art of turning data into insights that are easy to understand. Businesses in Mumbai, including banks, media networks, logistics firms, and even real estate companies, generate massive amounts of data. A data analyst helps convert that raw information into insights that improve sales, reduce waste, and increase profits. 

The process of data analysis involves collecting data from databases, APIs, and spreadsheets. Next is cleaning this data by removing errors and duplicates and preparing it for analysis. Then, the analysis tools like SQL, Python, and Excel are used to analyze the data. At the last stage, Power BI and Tableau are used to present insights from the data.

Why Learn Data Analytics in Mumbai?

Mumbai is not just the financial hub of India; it is also becoming a center for data-driven organizations. Companies from global banks in BKC to tech startups in Powai and Andheri, Mumbai, all rely on data analytics to stay competitive and make informed decisions.

Here’s why the Data Analyst Course in Mumbai is perfect:

There is a huge demand for data analysts in Mumbai

A Data analyst can find work in various sectors like finance, digital marketing, logistics, etc.

Mumbai offers unmatched real-world learning through internships and events.

Regular tech meetups and analytics conferences make it easy to connect with peers.

With the right training, you can easily start your data analyst career in Mumbai.

Who can Enroll the Data Analyst Course in Mumbai?

This course is ideal for:

Fresh graduates looking for a career in analytics
Working professionals planning a career switch
Non-IT professionals wanting to enter the data field
Entrepreneurs who want to make data-driven business decisions

What will you learn in the Data Analytics Course in Mumbai? - Complete Syllabus

Our Data Analyst Course in Mumbai covers the whole data analyst cycle from raw data to insights that can change business outcomes.

Module 1 (8 Hours): Introduction to Data Analytics

Part 1:  DATA ANALYTICS FOUNDATION

  • Data Analytics Introduction
  • Data Preparation for Analytics
  • Common Data Problems
  • Various Tools for Data Analytics
  • Evolution of the Analytics domain

Part 2: CLASSIFICATION OF ANALYTICS

  • Four types of Analytics
  • Descriptive Analytics
  • Diagnostics Analytics
  • Predictive Analytics
  • Prescriptive Analytics
  • Human Input in Various Types of Analytics

Part 3: CRIP-DM Model

  • Introduction to the CRIP-DM Model
  • Business Understanding
  • Data Understanding
  • Data Preparation
  • Modelling, Evaluation, Deploying, Monitorin

Module 2 (16 Hours): Microsoft Excel

  • ⁠Introduction to Excel Tables
  • Validations
  • Conditional Formatting
  • Advanced Filters
  • Hyper/Data Linking
  • Data Visualization and Dashboarding
  • Collaboration and Integration
  • Advanced Data Techniques
  • Macros and VBA Programming

Module 3 (16 Hours): Introduction to Python

  • Working with Jupyter Notebook
  • Python concepts:
    o Print function
    o Variable
    o Loops
    • If
    • Else
    • For
    • While
  • Python Data Structures:
    o Array
    o Sets
    o List
    o Tuple
    o Dictionary

Module 4 (8 Hours): Introduction to Statistics

  • Introduction to Descriptive Statistics
    o Mean
    o Outlier
    o Median
    o Mode
    o Skew
    o IQR
  • Bivariate relation
  • Linearity, strength, direction
  • Slope of regression
  • Causality and correlation
  • Interpreting various graph formats:
    o Dot Plot
    o Histograms
    o Box and Whisker
    o Scatter Plots

Module 5 (16 Hours): Analytics using Python

  • Data cleaning
  • Data pre-processing
  • NumPy and Pandas Python Libraries
  • Data visualisation using Seaborn and Matplotlib
  • Data Analytics with Python
  • Case studies
  • Project

Module 6 (16 Hours): Power BI

  • Introduction to Power BI
  • Power BI Interface and Navigation
  • Connecting to Data Sources
  • Data Cleaning and Transformation
  • Advanced Transformations in Power Query
  • Data Modelling Fundamentals
  • DAX (Data Analysis Expressions) Basics
  • Advanced DAX Functions
  • Creating Basic Visuals
  • Advanced Visualizations
  • Mapping and Geospatial Visualizations
  • Custom Visuals and App Store
  • Designing Dashboards
  • Dashboard Interactivity
  • KPI Dashboards
  • Publishing and Sharing Reports
  • Collaborating in Power BI Service
  • Scheduled Refresh and Data Management
  • Advanced DAX and Calculations
  • Performance Optimization
  • Row-Level Security (RLS)
  • Case Studies

Module 7 (16 Hours): SQL

  • Introduction to Databases
  • What is SQL?
  • Installing MySQL
  • Creating the Databases
  • The SELECT Statement
  • The SELECT Clause
  • The WHERE Clause
  • The AND, OR, and NOT Operators
  • The IN Operator
  • The BETWEEN Operator
  • The LIKE Operator
  • The REGEXP Operator
  • The IS NULL Operator
  • The ORDER BY Operator
  • The LIMIT Operator
  • Inner Joins
  • Joining Across Databases
  • Self Joins
  • Joining Multiple Tables
  • Compound Join Conditions
  • Implicit Join Syntax
  • Outer Joins
  • Outer Join Between Multiple Tables
  • Self Outer Joins
  • The USING Clause
  • Natural Joins
  • Cross Joins
  • Unions
  • Column Attributes
  • Inserting a Single Row
  • Inserting Multiple Rows
  • Inserting Hierarchical Rows
  • Creating a Copy of a Table
  • Updating a Single Row
  • Updating Multiple Rows
  • Using Subqueries in Updates
  • Deleting Rows
  • Restoring Databases

Module 8 (16 Hours): Tableau

  • Introduction to Tableau
  • Connecting to Data Sources
  • Data Preparation Basics
  • Data Blending and Joins
  • Data Transformation with Tableau Prep
  • Basic Charts and Visualizations
  • Formatting Visuals
  • Tableau’s Show Me Feature
  • Advanced Charts and Visualizations
  • Calculated Fields and Table Calculations
  • Using Filters and Sets
  • Introduction to Tableau Maps
  • Advanced Mapping Techniques
  • Spatial Calculations and Custom Territories
  • Dashboard Design
  • Adding Interactivity
  • Designing Data Stories
  • Publishing and Sharing Dashboards
  • Tableau Server and Tableau Online
  • Exporting and Presentation
  • Advanced Calculations and LOD Expressions
  • Performance Optimization
  • Tableau Extensions and APIs
  • Case Studies
  • Final Project

Module 9 (8 Hours): Capstone Project

  • A comprehensive, end-to-end project to apply all course concepts.
  • Solves a real-world or business-simulated problem using data

Languages and Tools You will Master

Youll gain hands-on experience with:

Tableau Logo
PowerBI Logo
SQL Logo
Excel Logo
Python Logo
Pandas Logo
NumPY Logo
Matplotlib Logo

Every topic includes practical assignments and guided projects to ensure deep understanding and application.

Job Opportunities After Data Analytics Course in Mumbai

Data analytics is one of the few domains that’s relevant across every industry and in Mumbai companies are hiring aggressively for the Roles. 

After completing this Data Analyst course in Mumbai from PyNet Labs, You will also receive job support, including resume guidance, job referrals, and interview preparation tips so after that you can apply for roles such as:

Job Roles & Average Salaries in Mumbai

Data Analyst

₹3.5 – 5 LPA

Business Analyst

₹5 – 8 LPA

MIS Executive

₹8 – 12 LPA

Power BI Developer

₹6 – 10 LPA

Junior Data Scientist

₹7 – 15 LPA

Top Hiring Companies in Mumbai

Amazon

Deloitte

Genpact

TCS

Tech Mahindra

Infosys

Novartis

Cognizant

Average Salary: INR 3.5 to 7 LPA for beginners in Mumbai

Skills You'll Learn

Data Cleaning and Preparation
Statistical Analysis and Interpretation
SQL Querying and Database Management
Python for Data Analysis
Power BI and Tableau Visualization
Business Problem Solving and Decision-Making

Why Choose PyNet Labs?

Live + Recorded Learning Options

Attend classes live or watch recordings at your convenience.

Industry Expert Trainers

Learn from experienced industry recognized professionals. 

Practical Approach

Our teaching is centered on real-world projects instead of just theoretical concepts.

Portfolio Development

We will assist you in creating an impressive GitHub and Power BI portfolio.

Flexible Learning Schedule

Select either a weekday or weekend batch.

Placement Assistance

Resume building, interview prep, and job referrals until you land your role

Real-World Case Studies

To make your learning more comfortable, we use real business examples:

Retail sales forecasting using historical data
HR analytics to understand employee performance
Customer segmentation for marketing campaigns
Credit risk analysis for financial institutions
Healthcare data analysis and disease prediction
And many Module-Wise Mini Projects

What Our Students Say About Us?

Our Students Placed At

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Ready to Take the First Step?

Mumbais job market is shifting fast toward data-driven roles, and this is your chance to stay ahead. Join the Data Analyst Course in Mumbai by PyNet Labs and learn directly from experts who live and breathe data. Gain real experience, earn your certification, and open doors to a future full of opportunity.

To get complete syllabus and upcoming batch details.

Frequently Asked Questions

Q1. How long is the Data Analyst Course in Mumbai?

The total duration of the course is 3.5 Months. However, if you choose the Weekends batch, the course duration will be over 4 Months.

Q2. Is this course right for non-technical learners?

Yes, our Data Analytics Course in Mumbai is perfect for non-technical learners. Our Course starts from the basics and doesn’t require prior coding experience.

Q3. Will I work on real business datasets?

Yes, all the assignments and projects in the course use business-grade datasets from various industries.

Q4. Can I switch from another career field to analytics?

Yes, if you are eager to learn and enter the data analytics field, you can switch to it without worrying about your previous field.

Q5. What's the salary after this course?

After completing the Data Analyst Course in Mumbai, you can start your data analyst course with a salary in the range of 3.5 to 7 LPA easily. With a few years of experience, you can move to a much higher salary.

Q6. Will I get class recordings and study material?

Yes, our classes are recorded and uploaded to our students’ portal within 24 Hours. You will have access to project files, assignments, practice datasets, etc, when you join this course.

Data Analyst Course in India

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Data Analyst Course(#114)