Milestone Institute Of Technology

Our Popular Courses

Full Stack Development with Python Course

Frontend Development
- HTML5 - The standard markup language for creating web pages. Focuses on structure and content.
- CSS3 - The styling language used for designing web pages and creating visually appealing layouts and responsive designs.
- React - JavaScript library for building user interfaces, particularly single-page applications where a seamless user experience is crucial. It allows for the creation of reusable UI components and promotes a reactive programming style.
- JavaScript - A programming language that allows for dynamic content, manipulation of the DOM, and asynchronous communication with servers.
Backend Development
- Python - A high-level programming language used for server-side application development. Known for its simplicity and readability.
- Django - A high-level Python web framework that allows for rapid development of secure and maintainable websites. It follows the model-template-views (MTV) architectural pattern.
Database Management
- MongoDB - A NoSQL database that uses a document-oriented data model. It is suitable for handling large amounts of unstructured data.
- SQL - Structured Query Language, used for managing and querying relational databases.

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Full Stack Development with Java Course

Frontend Development
- HTML5 - Structuring web pages with semantic elements.
- CSS3 - Styling web pages with advanced designs and layouts.
- JavaScript - Adding interactivity and dynamic content to websites.
- React - Building responsive and dynamic user interfaces.
Backend Development
- Java - Core programming language for robust applications.
- Spring Boot - Framework for creating scalable, production-ready applications.
Database Management
- SQL - Working with relational databases.
- MongoDB - Managing NoSQL databases for flexible data storage.

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Python Programming Course

Environment Setup
- Local Environment Setup - Installing and running Python
Basic Syntax
- First Python Program
- Modes: interpreter, editor, IDE
- Python Identifiers, Keywords, Indentation
- Multi-Line Statements, Quotation, Comments
- Waiting for User Input, Multiple Statements on a Single Line
Variable Types
- Assigning Values, Multiple Assignment
- Standard Data Types: Numbers, Strings, Lists, Tuples, Dictionary
- Data Type Conversion and Casting
Basic Operators
- Arithmetic, Comparison, Assignment, Bitwise, Logical Operators
- Membership, Identity Operators, Operators Precedence
- Triple Quotes, Unicode String, Built-in String Methods
Strings
- Accessing, Updating, Escape Characters
- String Special Operators and Formatting
Decision Making
- if, if-else, else-if Statements
- Nesting, Using if-else as switch-case
Loops
- While Loop, Infinite Loop, For Loop
- Iterating by Sequence Index, Using else with Loops, Nested Loops
Data Structures
- List, Tuples, Set, Dictionary
Modules
- import Statement, Locating Modules, User Defined Modules
- dir() Function
Files I/O
- Opening, Closing Files
- File Methods: write(), writelines(), read(), readline(), readlines()
- File Positions, seek() function, File Directory Methods
Exceptions
- Handling Exceptions with try-except
- try-finally, try-except-else Clauses
- Raising Exceptions, User-Defined Exceptions
Classes and Objects
- OOP Terminology, Creating Classes and Instances
- Accessing Attributes, Static Member Attributes
- Inheritance: Multiple, Hierarchical, Multi-level
- Method Overriding, Operator Overloading, Data Hiding
Course Project
- Work on Real Life / Live Project

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Python Programming with Data Science Course

Environment Setup
- Local Environment Setup - Installing and running Python
Basic Syntax
- First Python Program
- Modes: interpreter, editor, IDE
- Python Identifiers, Keywords, Indentation
- Multi-Line Statements, Quotation, Comments
- Waiting for User Input, Multiple Statements on a Single Line
Variable Types
- Assigning Values, Multiple Assignment
- Standard Data Types: Numbers, Strings, Lists, Tuples, Dictionary
- Data Type Conversion and Casting
Basic Operators
- Arithmetic, Comparison, Assignment, Bitwise, Logical Operators
- Membership, Identity Operators, Operators Precedence
- Triple Quotes, Unicode String, Built-in String Methods
Strings
- Accessing, Updating, Escape Characters
- String Special Operators and Formatting
Decision Making
- if, if-else, elif Statements
- Nesting, Using if-else as switch-case
Loops
- While Loop, Infinite Loop, For Loop
- Iterating by Sequence Index, Using else with Loops, Nested Loops
Data Structures
- List, Tuples, Set, Dictionary
Modules
- import Statement, Locating Modules, User Defined Modules
- dir() Function
Files I/O
- Opening, Closing Files
- File Methods: write(), writelines(), read(), readline(), readlines()
- File Positions, seek() function, File Directory Methods
Exceptions
- Handling Exceptions with try-except
- try-finally, try-except-else Clauses
- Raising Exceptions, User-Defined Exceptions
Classes and Objects
- OOP Terminology, Creating Classes and Instances
- Accessing Attributes, Static Member Attributes
- Inheritance: Multiple, Hierarchical, Multi-level
- Method Overriding, Operator Overloading, Data Hiding
Web Scraping
- Introduction to BeautifulSoup
- Extracting text from tags, tables, paragraphs, and scraping from multiple pages
Web Scraping using Selenium
- Introduction to Automation and Selenium
- Installation of Selenium and Environment Setup
- Invoking Test-Cases in Different Browsers, Browser Operations
- HTML and CSS Basics, Identification of Elements
Analytics with Python
- Using Numpy and Pandas for Data Handling
- Data Visualization with Matplotlib and Seaborn
Course Project
- Work on Real Life / Live Project

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PG in Data Analytics Course

Logic Building
- Introduction to Programming Languages
- Introduction to Algorithms
- Basics of SQL and Databases
SQL Concepts
- What is SQL, DDL vs DML
- Data Types, Expressions, Operators
- DDL: Creating, Dropping Tables, Inserting, Updating, Deleting
- DQL: SELECT, WHERE, Operators, ORDER BY, DISTINCT
- Built-in Functions: String, Math, Date, Aggregate
- GROUP BY with HAVING
- Joins, Nested Queries, Stored Procedures, Triggers, Window Functions
Python Programming
- Installation, Syntax, Programming Structures
- Variables, Operators, Expressions
- Decision Making: if, elif, else
- Loops: while, for, break, continue
- Data Structures: List, Tuple, Dictionary, Set
- Functions, Modules, OOP Concepts
- Libraries: Numpy, Pandas, Matplotlib, Seaborn
Case Studies
- IPL Data Analysis
- Netflix and Hotstar Data Analysis
Excel Basics
- Entering Data, Formatting, and Using Filters
- Currency and Date Formats, Custom Formats
- Sorting, Lookup, and Reference Functions
- Pivot Tables, Charts, and What-if Analysis
- Intro to Macros
Tableau
- Introduction, Architecture, Features
- Installation and Interface Overview
- Data Visualization: Bar, Line, Pie Charts, Heat Map
- Building Dashboards, Actions, and Drilldown Reports
- Creating Calculated Fields and Cross Tab Operations
PowerBI
- PowerBI Tools Overview
- Connecting Data Sources, Preparing Data with Query Editor
- Sales Analysis Case Study
- DAX Functions and Data Visualization
- Creating and Manipulating KPIs and Slicers

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PG in Data Science with AI and ML Course

Logic Building & SQL
- Introduction to Programming Languages & Algorithms
- SQL vs MySQL, DDL vs DML
- SQL Statements: CREATE, INSERT, UPDATE, DELETE
- SELECT, WHERE, JOINs, Subqueries
- Built-in SQL Functions (String, Math, Date, Aggregate)
- Stored Procedures, Triggers, Window Functions
Python Programming
- Installation, Syntax, Programming Structures
- Variables, Operators, Loops (while, for)
- Data Structures: List, Tuple, Dictionary, Set
- Functions, Modules, OOP Concepts, Exception & File Handling
- Web Scraping, RegEx
Case Study
- IMDB Top 250 Movies Web Scraping
- IPL, Netflix, Hotstar Data Analysis
Data Science & Machine Learning
- Introduction to Data Science, Statistics (Descriptive & Inferential)
- Libraries: Numpy, Pandas, Matplotlib, Seaborn
- Machine Learning Basics, Supervised vs Unsupervised Learning
- Linear Regression: Simple, Multiple, Polynomial
- Overfitting, Underfitting, Regularization (Ridge, Lasso)
- Logistic Regression, KNN, SVM
- Naive Bayes, Decision Trees, Ensemble Learning (Random Forest, AdaBoost)
- Unsupervised Learning: K-means, Hierarchical Clustering, PCA
- Machine Learning Project Deployment with Flask
Deep Learning
- Introduction to ANN & Deep Learning
- Forward & Backward Propagation, Activation Functions
- Optimizer, Early Stopping, Dropout Layer
- Digit Classification using ANN
Computer Vision
- Image Pre-processing, Edge Detection, Convolutional Layer
- Image Classification using CNN, Augmentation
- Hand Gesture Volume Control, AI Exercise Counter using MediaPipe

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Our Feedback

"I just finished the Full Stack Development with Java course at Milestone Institute of Technology, and I’m really glad I did. The staff was super supportive and always there to help whenever I needed it. The course was practical and covered everything I needed to know to start a career in full stack development. They also helped with job opportunities, and thanks to them, I landed the job I was aiming for. Huge thanks to MIT!"

Omkar Salunkhe

Our Student

"I have completed the Python Programming with Data Science course at Milestone Institute of Technology, and I’ve got to say, it was a fantastic experience. The institute is organized, and the learning environment is really comfortable. The teachers are not only knowledgeable but also super friendly and always ready to help. They made sure I understood everything clearly. Overall, I had a great time learning here and would definitely recommend MIT to everyone!"

Swarali Kharat

Our Student

"I'm really thankful to Milestone Institute of Technology for creating such a great environment that helped me grow and learn. The support and guidance from the faculty and staff really helped me build my skills and confidence. I’m grateful for all the chances I had to explore what I’m passionate about and for the encouragement to chase my dreams. Thanks for helping me become who I am today. I’ll always look back on the memories and lessons from here with a smile!"

Aniket Maurya

Our Student

"I have completed the Data Science course at Milestone Institute of Technology, and the overall experience was excellent. The faculty members were very helpful and cooperative. The guidance and support I received from both the faculty and staff greatly helped me develop my skills and confidence in data science. I had a great and enriching learning experience at Milestone Institute of Technology. Thank you! 😊"

Rushabh Yetam

Our Student

"I had an awesome experience at Milestone Institute of Technology. The Full Stack Development with Python course is great for beginners and gave me a solid understanding of both front-end and back-end development. The course is well-structured, with plenty of hands-on practice, and the support from the faculty was always there whenever I needed help. It's a great place to kickstart a career in development!"

pramod dhebe

Our Student

"Great course, learned a lot, and the teachers were really helpful and knowledgeable. The course content was engaging and insightful, making complex concepts easier to understand. I am grateful for the opportunity to learn it in-depth at MIT Thane. The hands-on projects, real-world applications, and the quality of teaching have really made a difference in my learning journey. Thank you to all the faculty and staff for making this experience unforgettable!"

Ajay Mane

Our Student

Data Science Course In Thane

Python with Data Science Course

PG in Data Science with AI and ML

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