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🎓 900+ Batches Completed
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⭐ 4.8 Google Rating
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Most Popular AI Powered Course

Data analyst course in mumbai with 100% Placement Assistance

Job-oriented, AI Driven hands-on interactive Data analyst AI training with real-time projects. Learn from working IT professionals with 16+ years of experience AI tools, AI automation technologies.

20K+
Students Trained
93%
Placement Rate
4.8 ⭐
Google Rating
16+ Yrs
Trainer Experience

Best Data Analyst Training in Mumbai with Certification, Gen AI Tools & Live Projects

Are you searching for a data analyst course, data analyst course in mumbai, or data analyst course with placement? If you are looking for the best data analytics course with placement, you have come to the right place. Our AI-powered data analytics courses in Mumbai are designed to provide hands-on experience, industry level training for students, freshers and working professionals. Whether you are looking for data analytics classes, data analysis courses in mumbai, or want to build an analyst mind through practical training or learning, basically this program is designed to help so that you can achieve your career goals.

Mumbai is one of India's leading financial and technology hubs, making it an excellent place to begin your career in analytics. Alongside renowned data science colleges in Mumbai who do not provide practical training to the students who are required but our industry focused training offers an alternative learning path with practical exposure and placement assistance. Technogeeks AI-powered data analyst course in Mumbai combines 75 hours of live training, 60 hours of assignments, and 40 hours of real time projects using python, Tableau, Power BI, and AI tools. Whether you're comparing data analyst course fees in Mumbai, data science course fees in Mumbai, or searching for a business analyst course in Mumbai, our curriculum is designed to deliver maximum value through practical learning and career support.

Our program is especially created by experienced IT professionals and serves beginners as well as experienced learners. It covers Python programming, AI-powered data analysis, Business Intelligence, visualization, and automation to prepare students and working professionals for real world projects. If you are looking for Data Science Training in Mumbai , data science classes Mumbai, data science classes in Mumbai, business analytics courses Mumbai, business analytics course in Mumbai, or data analytics PG courses, our training combines theory with hands-on implementation. We also provide data analyst training and placement, making it one of the best data analyst courses with placement options for aspiring professionals.

Our classroom training mainly focuses on hands-on experiences to help learners to become confident data analysts in Mumbai. Students will gain experience with Python, NumPy, Pandas, Matplotlib, Seaborn, Tableau, Power BI, statistical analysis, predictive modeling, and AI automation. Our data analyst coaching is delivered by an experienced data analyst institute that emphasizes business problem solving and you will become industry ready skills. Whether you're searching for a data analyst course in Navi Mumbai, comparing data analytics fees, exploring data analytics companies in Mumbai, data analytics companies Mumbai, or planning a career in analytics, The program provides hands-on expertise and industry-relevant knowledge to help you become a skilled data analytics professional.

Course Curriculum

01
Introduction to Python Programming
6 Topics  · 
  • What is Python and brief history
  • Why Python and who use Python
  • Discussion on Python 2 and 3 Unique features of Python
  • Discussion on various IDE's
  • Demonstration of practical use cases
  • Python use cases using data analysis
02
Setting Up And Installations
5 Topics  · 
  • Installing python
  • Setting up Python environment for development
  • Installation of Jupyter Notebook
  • How to access our course material using Jupyter
  • Write your first program in python
03
Python Object And Data Structures Operations
10 Topics  · 
  • Python built-in functions
  • Number objects and operations
  • Variable assignment and keywords String objects and operations
  • Print formatting with strings
  • List objects and operations
  • Tuple objects and operations
  • Dictionary objects and operations
  • Sets and Boolean
  • Object and data structures assessment test
04
Python Statements
11 Topics  · 
  • Introduction to Python statements
  • If, elif and else statements
  • Comparison operators
  • Chained comparison operators
  • What are loops
  • For loops
  • While loops
  • Useful operators
  • List comprehensions
  • Statement assessment test
  • Game challenge
05
UDF Functions And Methods
10 Topics  · 
  • Methods
  • What are various types of functions
  • Creating and calling user defined functions
  • Function practice exercises
  • Lambda Expressions
  • Map and filter
  • Nested statements and scope
  • Args and kwargs
  • Functions and methods assignment
  • Milestone Project (Making tic-tac-toe in python)
06
File And Exception Handling
10 Topics  · 
  • Process files using python
  • Read/write and append file object
  • File functions
  • File pointer and operations
  • Introduction to error handling
  • Try, except and finally
  • Python standard exceptions
  • User defined exceptions
  • Unit testing
  • File and exceptions assignment
07
Python Modules And Packages
6 Topics  · 
  • Python inbuilt modules
  • Creating UDM-User defined modules
  • Passing command line arguments
  • Writing packages
  • Define PYTHONPATH
  • name and main
08
Object Oriented Programming
9 Topics  · 
  • Object oriented features
  • Implement object oriented with Python
  • Creating classes and objects
  • Creating class attributes
  • Creating methods in a class
  • Inheritance
  • Polymorphism
  • Special methods for class
  • Assignment – Creating a python script to replicate deposits and withdrawals in a bank with appropriate classes and UDFs
09
Advanced Python Modules
8 Topics  · 
  • Collections module
  • Datetime
  • Python debugger
  • Timing your code
  • Regular expressions
  • StringIO
  • Python decorators
  • Python generators
10
Package Installation And Parallel Processing
4 Topics  · 
  • Install packages on python
  • Introduction to pip, easy_install
  • Multithreading
  • Multiprocessing
11
SQL (Structured Query Language)
20 Topics  · 
  • What is SQL?
  • Why do we need SQL integration with Python?
  • Data types in SQL
  • DDL, DML, and TCL sub-languages in SQL
  • Significance and type of Joins in SQL
  • Where clause in SQL
  • Group by clause in SQL
  • Create command in SQL
  • Insert command in SQL
  • Select command in SQL
  • Select command variants in SQL
  • Update command in SQL
  • Delete command in SQL
  • Drop command in SQL
  • Truncate command in SQL
  • Commit and rollback concepts in SQL
  • SQL integration with Python
  • Table operations in SQL using Python
  • Working on multiple tables using Python and SQL
  • CRUD operations in SQL
12
Rest API With Flask And Python
4 Topics  · 
  • REST principles
  • Creating application endpoints
  • Implementing endpoints
  • Using Postman for API testing
13
Rest API Integration With Databases For Web App Development
4 Topics  · 
  • CRUD operations on database
  • REST principles and connectivity to databases.
  • Creating a web development API for login register and connecting it to database
  • Deploy the API on local server
14
Data Wrangling With Python And EDA (Exploratory Data Analysis)
11 Topics  · 
  • Data Analysis using Numpy and Pandas
  • Data Visualization using Matplotlib and Seaborn
  • Dealing with missing values, NaN values
  • Standard scaler
  • Correlation-based processing
  • Divide data in test and train splits to supply to machine-learning algorithms
  • Time series analysis
  • Reshaping Data
  • Data Manipulation as per requirement
  • Derive columns based on rules
  • Filtering data
  • Compression and decompression techniques
15
Data Analysis using Advance Excel
8 Topics  · 
  • Introduction in Excel
  • Data Cleaning & Preparation
  • Formatting & Conditional Formatting
  • Lookup Function
  • Analyzing data with Pivot Tables
  • Charts
  • Data Visualization/Dashboarding using excel
  • Data Analysis using statistics
16
Data Analysis With Python
5 Topics  · 
  • Introduction to data analysis
  • Why Data analysis?
  • Data analysis and Artificial intelligence bridge
  • Introduction to Data Analysis libraries
  • Data analysis introduction assignment challenge
17
Data Analysis Using Numpy
5 Topics  · 
  • Introduction to Numpy arrays
  • Creating and applying functions
  • Numpy Indexing and selection
  • Numpy Operations
  • Exercise and assignment challenge
18
Data Analysis In Python With Pandas And Advanced Analysis
10 Topics  · 
  • Pandas series
  • Introduction to DataFrames
  • Missing data
  • Groupby
  • Merging, joining and Concatenating
  • Operations
  • Data Input and Output
  • Pandas in depth coding exercises
  • POC – Analysis of e-commerce dataset using pandas
  • POC – Getting insights on employee salaries data using data analysis in python
19
Data Visualization With Python
15 Topics  · 
  • Matplotlib
  • Plotting using Matplotlib
  • Plotting Numpy arrays
  • Plotting using object-oriented approach
  • Subplots using matplotlib
  • Matplotlib attributes and functions
  • Matplotlib exercises
  • Seaborn
  • Seaborn visualization
  • Categorical Plot using Seaborn
  • Distributional plots using Seaborn
  • Matrix plots
  • Grids
  • Seaborn exercises
  • Project – Getting insights using python analysis and visualizations on finance credit score data.
  • Pandas built-in data visualization
  • Data visualization assignment
  • Capstone Project
  • Python and Web-based Project Development
20
Data Visualization With PowerBI
11 Topics  · 
  • You can select the Power BI or Tableau based on your preference of business intelligence tool to visualize and analyze the data sets.
  • Module 20 – Data Visualization using Power BI
  • Comparison Between Power BI & Programming Based Data Visualization
  • Need Of Power BI
  • Types Of Data Sources Supported By Power BI For Report Development
  • How To Build Report & Dashboard in Power BI
  • How To Build Charts In Power BI
  • Data Visualization Using Power BI Features
  • Types of Graphs
  • Multiple graphs combinations
  • Multiple file formats supported in Power BI
  • Data analysis without visualization
  • Data analysis with visualization
  • OR
  • Module 20 – Data Visualization using Tableau BI Tool
  • Comparison Between Tableau & Programming Based Data Visualization
  • Need Of Tableau
  • Types Of Data Sources Supported By Tableau For Report Development
  • How To Build Report & Dashboard in Tableau
  • How To Build Charts In Tableau
  • Data Visualization Using Tableau Features
21
Generative AI for Data Analysts
16 Topics  · 
  • Introduction to Generative AI and LLMs
  • How Generative AI is reshaping data analysis
  • Popular GenAI tools (ChatGPT, Gemini, Copilot)
  • Prompt engineering fundamentals for analysts
  • Using Gen AI for data cleaning and preparation
  • Generating SQL queries from natural language
  • Writing and debugging Python code with AI
  • Automating exploratory data analysis (EDA)
  • Creating visualizations with AI assistants
  • Crafting effective prompts for data tasks
  • Summarizing datasets and generating insights
  • Building automated reports and dashboards
  • Data privacy, security and responsible AI use
  • Understanding AI hallucinations and limitations
  • POC - Building an AI-assisted analytics workflow to clean, analyze and report on a business dataset of Banking and Finance / Healthcare/ Retail
  • Generative AI hands-on assignment
22
Major Project and GitHub
9 Topics  · 
  • Project use cases Introduction
  • Project Scenarios
  • Project life cycle
  • What is version controlling in project management
  • What is GitHub
  • Significance of GitHub in project management
  • Code submission for testing and deployment
  • Predictive analytics tools and techniques
  • Project best practices

Our trainers are experts in their fields. They simplify complex concepts for the students and make them easy to understand. They solve each and every type of student's query. Their teaching method is more focused on real-time examples, preparing the students for industry interviews. Students will have one-on-one coaching sessions with them so that they will be able to ask questions at any time.

Key Highlights of Our Trainers:

  • Certified Professionals with Over 8 Years of In-Depth Experience
  • Imparted Knowledge to Over 2,000 Students Annually
  • Demonstrated Strong Theoretical and Practical Expertise in Their Respective Domains
  • Possess Expert-Level Subject Knowledge and Stay Current with Real-World Industry Applications

Why Choose Technogeeks?

Everything you need to launch your career in tech

🎯
Industry-Oriented Syllabus
Curriculum designed by working professionals with 16+ years of real-world experience aligned with current market demands.
💻
Hands-On Live Projects
Work on 2 major real-time projects with source code. Build a portfolio that impresses recruiters from day one.
🏆
100% Placement Assistance
Guaranteed interview calls till you get placed. Resume building, mock interviews, and active job referrals via our Telegram channel.
🎓
Certified Instructors
Learn from certified professionals who work at top MNCs. Real examples, real projects, real industry exposure.
📅
Flexible Batch Timing
Weekday and weekend batches available. Switch between online and classroom training anytime. Never miss a session.
4.8 Google Rating
1700+ genuine reviews from 2000+ students. Our track record speaks louder than any advertisement.

Tools & Technologies You'll Master

23+ industry-standard tools covered in this program

Python
NumPy
Pandas
Matplotlib
Seaborn
Scikit-learn
TensorFlow
Keras
NLTK
SQL
REST API
Flask
Postman
Tableau
Power BI
Jupyter
GitHub
Google Colab
Python
NumPy
Pandas
Matplotlib
Seaborn
Scikit-learn
TensorFlow
Keras
NLTK
SQL
REST API
Flask
Postman
Tableau
Power BI
Jupyter
GitHub
Google Colab

Book Your Seat Today!

Start your journey with just ₹5,000. Watch a free demo first — pay the rest only after you're confident. No-cost installments available.

Free Demo First
0% Interest EMI
100% Placement Assistance
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Your Path

Training to Placement Journey

From your first session to landing your dream job — every step mapped out.

Register for Classroom / Live Online Sessions
1
2
Work on Theory, Practicals, Assignments
Work on Milestone Project
3
4
Course Completion with Certificate
CV Discussion
5
6
Interview Preparation (Mock Interviews)
Apply for Job Openings till you crack the interview
7
8
You Land a Job!

Frequently Asked Questions

What is a data analyst?

A data analyst is that person who collects the data from different sources, cleans it and analyzes the data to help a business make better decisions. If you are exploring a data analyst course, this is the starting point to understanding numbers, spotting patterns, and turning raw data into decision making data. In Technogeeks we are providing a data analyst course so you will get a better idea how to clean data, how to analyze data for making better decisions.

What does a data analyst do?

A data analyst collects the data from different - different sources, cleans the data and organizes it, checks for mistakes, and turns it into easy-to-understand reports, charts, and dashboards. Most data analyst training and placement programs teach these everyday tasks using real-world datasets so students gain practical experience. Also Technogeeks provides data analytics courses to get better hands-on experience.

What is the work of a data analyst?

A data analyst collects the data and studies the data to find out some useful patterns, answer business questions, and help companies to make better decisions. They also present their findings in a simple way so that everyone can understand. That's why hands-on practice in a data analytics course is more important than just learning theory.

What is the data analyst salary in Mumbai?

If you are fresher and you are placed recently as data analyst in Mumbai so your starting salary will be ₹4-6 LPA, while experienced data analyst can earn ₹10 LPA and above it depends on their skills and industry.

Technogeeks Certificate
900+
Batches Completed
20000+
Happy Students
10+
Years of Experience
Industry Oriented Syllabus
Designed by Expert
Self Assessments
Quizzes, POC
Recorded Sessions
1 Year of Access

What Our Students Say

2,100+ verified Google reviews from real students

4.8
Based on 2,100+ reviews
Google Reviews
R
Rahul Sharma
2 months ago
Good learning experience overall. Trainers explain concepts clearly, and projects helped me gain practical skills.
P
Priya Kulkarni
1 month ago
The course is well structured and easy to follow. Trainers explain even complex topics in a simple way.
A
Amit Patil
3 months ago
Switched from non-IT background. Placement support is helpful, but you also need to keep applying on your own.
S
Sneha Desai
5 months ago
Flexible batches and recordings helped a lot. Good option if you are working or have time constraints.
V
Vikram Joshi
4 months ago
Mock interviews are very practical. I failed earlier, but after practice here, I cleared all rounds in one attempt.
N
Neha Wagh
6 months ago
Hands-on projects and assignments really helped me understand concepts better. Worth joining for beginners.
K
Kunal Mehta
3 weeks ago
Good experience overall. The trainers explain concepts clearly, and the practical sessions helped me a lot.
M
Megha Patil
2 weeks ago
Trainers are supportive and always ready to help. Sometimes the pace is fast, but recordings help to revise.
S
Sagar Jadhav
1 month ago
The course content is relevant and industry-oriented. Projects gave me good hands-on experience.
A
Anjali Deshmukh
4 weeks ago
Nice learning environment. Doubts are cleared properly, and the overall support from the team is good.

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Data analyst course Certification Training locations in Mumbai:

Andheri East [400069], Andheri West [400058], Bandra East [400051], Bandra West [400050], Borivali East [400066], Borivali West [400092], Kandivali East [400101], Kandivali West [400067], Malad East [400097], Malad West [400064], Goregaon East [400063], Goregaon West [400062], Santacruz East [400055], Santacruz West [400054], Dadar East [400014], Dadar West [400028], Kurla East [400024], Kurla West [400070], Ghatkopar East [400077], Ghatkopar West [400086], Mulund East [400081], Mulund West [400080], Bhandup East [400042], Bhandup West [400078], Vikhroli East [400083], Vikhroli West [400079], Chembur East [400071], Chembur West [400089], Wadala East [400037], Wadala West [400031]

Locations Offered:

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