Data Analyst Course in Mumbai
Start a high-paying online data analyst career in India's financial capital with the most comprehensive AI Powered Data Analytics Course in Mumbai. Perfect for freshers, working professionals, and career switchers, this data analytics program bridges the gap between academic theory and real-world corporate demands through practical projects and industry hiring opportunities.
No-cost EMI available
Data Analyst Course in Mumbai with Placement Assistance and Certification
Key Details Data Analytics Training in Mumbai
Program Title: Master’s in AI-Driven Data Analyst Course with Placement
Training Format: Classroom (Andheri, Dadar, Thane, Navi Mumbai) & Live Interactive Online Sessions
Live Instruction: 75 Hours of Live Interactive Mentorship
Practical Training: 60 Hours of Guided Assignments along with + 40 Hours of Real-Time Data Analytics Projects
Faculty: Senior Data Analyst Professional & IT Experts with 16+ Years of Experience
Placement Offer: 100% Placement Assistance with Mock Interviews & ATS Friendly Resume Building
Why Choose Mumbai for a career in Data Analytics?
Mumbai is home to top multinational banks, fintech startups, consulting giants, also many data analytics companies in Mumbai and IT hubs. Our Data Analytics Syllabus curriculum is built by working professionals with 16+ years of experience requirements of top Mumbai-based enterprises (Deloitte, Accenture, J.P. Morgan, Capgemini,Wipro,Tech Mahindra,TCS, etc) to give you a clear competitive advantage.
Data Analyst Roadmap
Technical Tool Stack
Our data analyst classes move step by step from essential data handling tools to advanced generative AI tools and visualization dashboards.
| Learning Module | Core Concepts & Tools Covered | Career Application |
|---|---|---|
| Data Querying & Databases | Structured Query Language (SQL), PostgreSQL, MySQL, Database Joins, Indexing | With the help of company databases to find and get the business data which you need. |
| Data Wrangling & Python | Python 3, Pandas, NumPy, Data Cleaning, ETL Pipelines | Taking care of messy company data and finding useful information from it using Exploratory Data Analysis (EDA). |
| Statistical Analysis | Descriptive Statistics, Probability, Hypothesis Testing, Regression Models | you are finding new trends, predicting results which can happen in future, and testing different varieties to make better decisions. |
| Business Intelligence (BI) | Power BI, Tableau Desktop, DAX, Interactive Dashboard Creation | You are creating dashboards and live reports which can help business teams understand data and make decisions. |
| Data Visualization | Matplotlib, Seaborn, Storytelling with Data | Transforming complex data in simple and understandable visual reports for easy understanding. |
| AI Automation Tools | ChatGPT for Data Analysis, GitHub Copilot, Automated EDA Tools | with the help of AI doing statistical analysis faster , writing code automatically, summarizing data on a daily basis. |
Real-World Industry Data Analytics Projects
You will build a professional ATS friendly portfolio by completing practical projects using real data from leading industries:
E-Commerce Data Analysis
You can analyze an e-commerce dataset with the help of Python and Pandas.
Focus: data manipulation, grouping, analysis and extracting business insights.
Employee Salary Data Analysis
In this you can analyze salary data of employees using Python/Pandas.
Focus: finding patterns and meaningful insights from salary data.
Finance Credit Score Analysis & Visualization
Analyze data related finance and credit-score data.
Uses Pandas, Matplotlib and Seaborn for analysis and visualization.
AI-Assisted Business Analytics Project
Build an AI-assisted analytics workflow to clean, analyze and report on a business dataset.
Domains mentioned: Banking and Finance, Healthcare, or Retail.
Uses Generative AI + data analysis + reporting.
2 Major Real-Time Projects
The data analyst Training specifically states 40 hours of real-time projects and 2 major projects with source code.
Career Support & Placement Assistance
Technogeeks 360-degree online data analytics course in Mumbai with placement prepares you to land data analyst, business analyst, and BI developer roles in Mumbai:
1-on-1 Resume Optimization: Creating ATS friendly data analyst resume.
Mock Technical Interviews: Practice on data analytics interviews, live online SQL coding, business case studies, AI Automation and Python pair programming with senior industry mentors.
Portfolio Showcase: Publishing your project code and visual dashboards to GitHub and Kaggle to demonstrate applied experience.
Direct Hiring Connections: You will get access to exclusive placement drives with top companies across Mumbai, Navi Mumbai, and Thane.
Best Data Analytics Course in Mumbai with 100% Placement Assistance: Why Technogeeks is the Ideal Choice
So if you are looking for data analytics courses near me or data analytics courses online in Mumbai, then Technogeeks is the best chioce. Technogeeks provides data analyst classes in Mumbai with 100% placement assistance. You will master data analytics skills Python, Power BI, SQL, Tableau, and Gen AI tools through hands-on data analyst training, live online classes, with AI Automation and real-time projects. Also you will get data analyst certification, internship letter.
Data Analyst Course Syllabus
- 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
- 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
- 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
- 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
- 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)
- 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
- Python inbuilt modules
- Creating UDM-User defined modules
- Passing command line arguments
- Writing packages
- Define PYTHONPATH
- name and main
- 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
- Collections module
- Datetime
- Python debugger
- Timing your code
- Regular expressions
- StringIO
- Python decorators
- Python generators
- Install packages on python
- Introduction to pip, easy_install
- Multithreading
- Multiprocessing
- 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
- REST principles
- Creating application endpoints
- Implementing endpoints
- Using Postman for API testing
- 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
- 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
- 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
- Introduction to data analysis
- Why Data analysis?
- Data analysis and Artificial intelligence bridge
- Introduction to Data Analysis libraries
- Data analysis introduction assignment challenge
- Introduction to Numpy arrays
- Creating and applying functions
- Numpy Indexing and selection
- Numpy Operations
- Exercise and assignment challenge
- 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
- 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
- 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
- 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
- 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 experienced data analyst professionals who simplify complex concepts 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, data analyst skills, data analyst projects, and preparing the students for data analyst interview questions. 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 16+ Years of In-Depth Experience
- Imparted Knowledge to Over 2,000 Students Annually
- Strong Theoretical and Practical Expertise in data analyst skills
- Expert Knowledge of data analyst course syllabus and real-world industry applications
- Practical guidance through data analyst projects and data analyst interview questions
Why choose Technogeeks For Data Analyst Course
Everything you need to launch your career in tech
Data Analyst Tools & Technologies You'll Master
23+ industry-standard tools covered in this data analytics classes
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.
Data Analytics Training to Placement Journey
From your first session to landing your dream data analyst job — every step mapped out to build your data analyst skills.
Frequently Asked Questions related Data Analyst Course in Mumbai
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.
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.
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.
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.
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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]
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