Best AI driven Data Science Course in Mumbai with 100% Placement Assistance
Industry-based, job-oriented, hands-on interactive Data Science and AI course in Pune with Machine Learning, AI tools, and real-time projects. Learn from working IT professionals with 16+ years of experience.
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About Best Data Science with AI Training
Learn 6 Courses In 1 Data Science Specialization Track In Mumbai with Placement. Are you looking for a Data Science Course in Mumbai, along with an artificial intelligence course in Mumbai or , “near me” classroom, or online training?
Technogeeks’ 110 hours of interactive data science course in Mumbai combines industry-based, job-oriented, hands-on, interactive data science AI Program with 70 hrs of assignments and 70 hrs of real-time data science and machine learning projects with source code. The IT professionals who created the course will guide you through real-world Data Analytics, AI Automation and machine learning projects.
Learn Data Science Course in Mumbai with AI tools from working IT professionals with 16+ years of experience in data science , gen ai, machine learning, agentic ai and data engineering. The data science training covers Data Visualization, Machine Learning, Deep Learning, Natural Language Processing (NLP), Artificial Intelligence (AI), Data Analytics, and Python Programming.
These Data Science and AI classes in Mumbai are designed for both beginners and experienced professionals. You will learn Python libraries such as Matplotlib and Seaborn for visualization, and Numpy and Pandas for data analysis. You will also work with Tableau and Power BI for analytics and AI Powered visualization.
The curriculum includes essential topics like data aggregation, exploratory data analysis (EDA), REST API, SQL, CRUD operations, AI Workflow Automation, Deep Learning, NLP, and more. Hands-on projects will help you apply your knowledge in real-world scenarios.
After completing the AI integrated data science classes, you will go through mock interviews and CV preparation sessions to get ready for real job opportunities
Course Curriculum
- 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 Development Environment
- Installation of Jupyter Notebook
- How to access our course material using Jupyter
- Write your first program in Python
- Deployment on local and cloud platforms using Google Colab
- Introduction to Python objects
- 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 operator
- 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 in Python
- Functions and methods assignment
- Milestone Project using 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 programming with Python
- Creating classes and objects
- Creating class attributes
- Creating methods in a class
- Inheritance
- Polymorphism
- Special methods for class
- Collections module
- Datetime
- Python debugger
- Timing your code
- Regular expressions
- StringIO
- Python decorators
- Python generators
- Python inbuilt modules
- Install packages on python
- Introduction to pip, easy install
- Multithreading
- Multiprocessing
- 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
- Introduction to the Series
- Introduction to DataFrames
- Data manipulation with pandas
- Missing data
- Groupby
- Merging, Joining, and Concatenating Operations
- Data Input and Output
- Pandas' in-depth coding exercises
- Text data mining and processing
- Data mining applications in Data engineering
- File system integration with Pandas
- Excel integration with Pandas
- Operations on Excel using a dataframe
- Data aggregation on Excel Data
- Data visualization using Excel Data
- Milestone Project – 2
- Plotting using Matplotlib
- Plotting Numpy arrays
- Plotting using object-oriented approach
- Subplots using matplotlib
- Matplotlib attributes and functions
- Matplotlib exercises
- 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
- Assignment – Pandas built-in data visualization
- Working with Elements
- Working with Bookmarks
- Working with Buttons
- Working with New Tooltips
- Conditional Formatting
- Working with Interactions
- Publish Power BI Dashboards
- Power BI Service
- Export Reports to PowerPoint, PDF
- Implementing Gateways
- Working with Parameters
- Final Deployment of the Dashboard
- 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
- Types of Graphs
- Multiple graph combinations
- Multi-file format support in Tableau
- Data analysis without visualization
- Data analysis with visualization
- Need of Mathematics for Data Science
- Exploratory data analysis (EDA)
- Numeric Variables
- Qualitative and Quantitative Analysis
- Types of Data Formats
- Measuring the Central Tendency – The Model
- Measuring Spread – Variance and Standard Deviation
- Euclidean Distance
- Confidence Coefficient
- Understanding Parametric Tests
- Introduction to Artificial Intelligence
- Introduction to Machine Learning
- Need for Machine Learning in Forecasting
- Demand of forecasting analytics in current industrial trends
- Scope of ML
- Introduction to Machine Learning Algorithm Categories
- Supervised and Unsupervised Learning
- Introduction to Regression
- Exercise on Linear Regression using Scikit Learn Library
- Project on Linear regression using USA_HOUSING data
- Evaluation of Linear regression using python visualizations
- K-Nearest neighbors using Python
- Exercise on K-Nearest neighbors using Sci-kit Learn Library
- Project on Logistic regression using Dogs and horses' dataset
- Evaluation of model using confusion matrix and classification report
- Decision tree and Random forest with python
- Intuition behind Decision trees
- Implementation of decision tree using a real time dataset
- Ensemble learning
- Support Vector Machines – Linearly & Non-linearly separable data
- SVM project with telecom dataset
- Principal Component Analysis (PCA)
- Clustering in unsupervised learning – K-means
- Hierarchical clustering intuition and implementation
- Association Algorithms – A priori theory
- Market basket analysis
- POC – Predict relationship between frequently bought products
- Introduction to Natural Language processing
- NLTK Python library
- Data stemming technique
- Data Vectorization
- Exercise on NLTK
- POC – Apply NLP techniques to predict if a customer review is good/bad
- Neural Network and Deep Learning
- What is TensorFlow?
- TensorFlow Installation
- TensorFlow basics
- TensorFlow with Contrib Learn
- TensorFlow Exercise
- What is Keras?
- Keras Basics
- Pipeline implementation using Keras
- MNIST implementation with Keras
- 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
- CRUD operations in SQL
- REST principles
- Creating application endpoints
- Implementing endpoints
- Using Postman for API testing
- Python, database and front-end integration concepts and implementation
- CRUD operations on the database
- REST principles and connectivity to databases
- Creating a web development API for login registers and connecting it to the database
- Deploying the API on a local server
- 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
Tools & Technologies You'll Master
23+ industry-standard tools covered in this program
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Start your journey with just ₹5,000. Watch a free demo first — pay the rest only after you're confident. No-cost installments available.
Training to Placement Journey
From your first session to landing your dream job — every step mapped out.
Frequently Asked Questions
The best institute is one that teaches Python, Data Science, Machine Learning, Generative AI, Power BI, SQL, and real-time projects. Today, companies want professionals with both Data Science and AI skills. AI and data skills are among the fastest-growing requirements in India.
Technogeeks offers industry-oriented Data Science training with AI, live projects, internship support, and placement assistance.
No genuine institute can guarantee a job. Because candidates must have skills which companies want. Instead, look for placement assistance, live projects, mock interviews, and resume preparation. Strong Data Science and AI skills have high industry demand.
Technogeeks IT Training institute provides placement support, interview preparation, and career guidance to help students become job-ready.
The best Python course should include Python, NumPy, Pandas, SQL, Machine Learning, Data Visualization, and Generative AI. Python is one of the best and demanded skills in Data Science hiring.
Technogeeks Mumbai's Python for Data Science program main goal is on practical learning, AI tools, and real-world projects.
Choose an institute that teaches Data Science + Machine Learning + Generative AI + Agentic AI + Business Analytics. Modern employers want professionals who can use AI to solve business problems.
Technogeeks AI institute at Mumbai have Data Science with the latest AI technologies, helping students build future-ready skills.
AI helps Data Scientists:
- Automate data analysis
- Build predictive models
- Improve forecasting accuracy
- Detect fraud and anomalies
- Create recommendation systems
- Develop intelligent business solutions
Today, AI is changing how businesses use data, making AI-powered Data Science one of the most valuable and secure career paths.
Python Data Science professionals are one of the booming profiles across industries. The salaries are basically based on skills, project experience, and expertise.
- Freshers: ₹5–10 LPA
- 1–3 Years Experience: ₹8–15 LPA
- 3+ Years Experience: ₹15–30+ LPA
- AI & Machine Learning Specialists: ₹20–50+ LPA
Professionals with skills in Python, Data Science, Machine Learning, and Generative AI can get more salaries. At Technogeeks Mumbai, students gain practical, industry-oriented skills through live projects and placement-focused training.
The best Data Science institute in Mumbai is one that provides training in Python, SQL, Machine Learning, Generative AI, Power BI, and real-time projects, along with placement assistance. Technogeeks Mumbai offers industry-oriented Data Science training with AI, hands-on projects, expert trainers, and career support to help students become job-ready professionals.
The best Data Science institute in Mumbai offers training in Python, SQL, Machine Learning, Generative AI, Power BI, and real-time projects with placement support.
Technogeeks provides industry-focused AI-powered Data Science training with expert trainers, hands-on projects, and job-ready skills, with ₹5000 seat booking available.
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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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