Basic Fundamental
• Introduction to Python
• Variables and Simple Data Types
• Introducing Lists
• Working with Lists
• if Statements
• Dictionaries
• User Input and while Loops
• Functions
• Classes
– Introduction to object-oriented programming
– Creating and using classes
– Working with instances
– Inheritance and polymorphism
• Files and Exceptions
– Reading from and writing to files
– Working with different file types (text, CSV, JSON)
– Basic exception handling

Advanced Topics
• Advanced Data Types
– Tuples, sets
• Advanced list and dictionary comprehensions
• Advanced Functions
• Exception Handling and Debugging
NumPy
– Working with arrays
– Array operations
– Mathematical functions
– Indexing and slicing
– Broadcasting
– Linear algebra operations
Pandas
– Data manipulation and analysis
– Data Frames and Series
– Reading and writing data
– Data cleaning and transformation
– Merging and joining datasets
TensorFlow
– Introduction to TensorFlow
– Building and training neural networks
– TensorFlow Datasets and data pipelines
– Model evaluation and deployment
– Using TensorFlow for computer vision and natural
language processing
PyTorch
– Introduction to PyTorch
– Building and training neural networks
– Using PyTorch datasets and dataloaders
– Model evaluation and deployment
– Applications in computer vision and natural language
processing

Introduction to Web Development
• Understanding the Web
– Introduction to web development
– How the web works: Browsers, HTTP, and servers
– Overview of HTML, CSS, and JavaScript
• HTML Fundamentals
• CSS Fundamentals
– Introduction to CSS
– The box model
– CSS layout techniques: Flexbox and Grid
• JavaScript Basics
– Getting Started with JavaScript
– Variables, data types, and operators
– Control structures: if statements, loops
– Functions and scope
• DOM Manipulation and Events
– The Document Object Model (DOM)
– Selecting and modifying elements – Event handling and
basic animations
• Project Work
– Planning and designing a simple website –
Implementing the website using HTML, CSS, and
JavaScript

Introduction to Python Framework
• Flask
– Setting up a Flask application
– Routing and view functions
– Templates and Jinja2
– Handling forms and requests
– Connecting to databases
– Creating APIs
Setting up a Flask application
– Install Flask using pip install flask.
– Create a basic app structure with an app.py file.

Routing and view functions
– Define routes using the @app.route() decorator.
– Create view functions that handle requests and return
responses.
– Use route parameters to capture values from the URL.
Django
– Setting up a Django project
– Models and ORM
– Views and templates
– Forms and validation
– Authentication and authorization
– Admin interface
– Building REST APIs with Django Rest Framework
Setting up a Django project
– Install Django using pip install django.
– Create a new project with django-admin start project
projectname.
– Create applications within the project using python

Models and ORM
– Define models in models.py for each app.
– Use Django ORM to interact with the database.
FastAPI
– Setting up a FastAPI project
– Creating endpoints
– Path and query parameters
– Request validation
– Async programming with FastAPI
– Integrating with databases
– Dependency injection
Setting up a FastAPI project
– Install FastAPI using pip install fastapi and uvicorn
for the server.
– Create a basic app structure with a main application
file.
– Use uvicorn main:app –reload to start the server.
– Configure application settings with Pydantic models.
Creating endpoints
– Define endpoints using Python functions decorated
with @app.get(), @app.post(), etc.
– Return JSON responses using Python dictionaries.
– Use path parameters to capture values from URLs.
GitHub
– Version control with Git
– Creating and managing repositories
– Branching and merging
– Pull requests and code reviews
– Using GitHub Actions for automation
CI/CD (Continuous Integration/Continuous
Deployment)
– Automated testing
– Deployment pipelines
– Integrating with GitHub
– Using tools like Jenkins, Travis CI, and CircleCI

SQL and PLSQL
• Need of Database
• DBMS Models
• Normalization
• SQL Constraints
• SQL Commands(DML,DDL,DQL,TCL,DCL)
• Clauses
• Functions
• Joins
• Indexes ,Views
• PLSQL block structure
• Difference between Stored Procedure,Functions
• Exercises

Excel
• Master Data Cleaning Techniques
• Visualize Data with Excel Charts
• Efficient Sub-totaling and Analysis

Advanced Excel
• Pivot Tables for Data Summarization:
Understand how to summarize data efficiently.
• Data Analysis and Visualization: Deepen your
data analysis and visualization skills.

DWH & ETL
• Database vs Data Warehouse: Key Differences
• Data Warehouse Architecture, Concepts and
Components
• Types of Schemas (Star,Snowflake)
• Data Warehouse vs Data Mart
• Data Lake vs Data Warehouse: What’s the
Difference?
• ETL (Extract, Transform, and Load) Process
• What is Business Intelligence? Definition &
Example

TABLEAU
• Introduction to Tableau
• Data Connectors
• Data Model
• Basic Visualizations
• Filters
• Groups
• Set
• Types of Calculations (Basic, Table, LOD)
• Date Functions
• Table Calculations
• First(),Last(),Index()
• Data Blending
• Advance Visualizations
(Gant Chart,Histogram,Donut Chart,Lollipop Chart)
• Dashboards
• Projects

Power BI
• Difference between PowerBI and Tableau
• DataSources
• Key Terms
• Installation
• Filters
• DAX Function
• Visualization
• Projects