Advance Excel Course in Bangalore

Marathahalli, Bangalore
8050601060
ayaz@riainstitute.in
Marathahalli Branch

Python Course Marathahalli

Master the world's most popular programming language. Learn Python syntax, logic, and libraries to build powerful web apps and automation scripts. Join our 2-month intensive classroom training.

Duration
2 Months
Mode
Classroom
Fee
₹11,800/-

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    Detailed Course Syllabus

    A structured, hands-on syllabus designed to take you from zero programming knowledge to building real-world Python applications in 2 months.

    8 Modules
    60+ Hours of Training
    15+ Hands-on Labs
    3+ Capstone Projects
    20+ Libraries & Tools
    1
    ⏱ 1 Week

    Python Basics & Environment Setup

    • Introduction to Python
      • What is Python? History & Applications
      • Installing Python 3.x & VS Code / PyCharm
      • Python IDLE & Interactive Shell
      • First Program: Hello World
    • Variables & Data Types
      • int, float, str, bool, NoneType
      • Type Casting (int(), str(), float())
      • Input / Output: input(), print(), f-strings
    • Operators
      • Arithmetic, Assignment, Comparison Operators
      • Logical Operators (and, or, not)
      • Bitwise & Identity Operators
    • Comments, Indentation & Python Style Guide (PEP 8)
    2
    ⏱ 1 Week

    Control Flow, Loops & Functions

    • Conditional Statements
      • if, elif, else
      • Nested Conditions & Ternary Operator
    • Loops
      • for Loop with range(), enumerate(), zip()
      • while Loop, break, continue, pass
      • Nested Loops & Loop Patterns
      • List Comprehensions & Generator Expressions
    • Functions
      • Defining & Calling Functions, return Statement
      • Default Arguments, *args, **kwargs
      • Lambda Functions & Anonymous Functions
      • map(), filter(), reduce()
      • Recursion with Examples (Factorial, Fibonacci)
    • Variable Scope: Local, Global, Nonlocal
    3
    ⏱ 1 Week

    Data Structures

    • Lists
      • Creating, Indexing, Slicing
      • List Methods: append, extend, insert, remove, pop, sort
      • Nested Lists & 2D Lists (Matrices)
    • Tuples
      • Immutability, Packing & Unpacking
      • Named Tuples
    • Sets
      • Set Operations: union, intersection, difference
      • frozenset
    • Dictionaries
      • Creating, Accessing, Updating, Deleting Keys
      • Dict Methods: keys(), values(), items(), get()
      • Nested Dictionaries & Dict Comprehensions
    • Strings In-Depth
      • String Methods: split, join, strip, replace, find
      • String Formatting: f-strings, format(), % operator
      • Regular Expressions with re module
    4
    ⏱ 0.5 Week

    File Handling, Modules & Error Handling

    • File Handling
      • Opening, Reading, Writing & Closing Files
      • Modes: r, w, a, rb, wb
      • with Statement (Context Manager)
      • Working with CSV & JSON Files
    • Modules & Packages
      • import, from…import, as alias
      • Built-in Modules: os, sys, math, random, datetime
      • Creating Custom Modules & Packages
      • pip & Installing Third-party Packages
    • Exception Handling
      • try, except, else, finally
      • Common Exceptions: ValueError, TypeError, KeyError
      • Raising Exceptions & Custom Exception Classes
    5
    ⏱ 1 Week

    Object-Oriented Programming (OOP)

    • OOP Concepts Overview
      • Classes & Objects
      • __init__ Constructor & self Keyword
      • Instance vs Class vs Static Methods
      • Instance vs Class Variables
    • Inheritance
      • Single, Multiple & Multilevel Inheritance
      • super() Function & Method Overriding
      • MRO (Method Resolution Order)
    • Encapsulation & Abstraction
      • Public, Protected & Private Attributes
      • Property Decorators: @property, @setter
      • Abstract Classes with abc module
    • Polymorphism
      • Method Overloading & Overriding
      • Duck Typing in Python
    • Magic Methods (Dunder Methods)
      • __str__, __repr__, __len__, __eq__, __add__
      • Operator Overloading
    • Iterators & Generators (yield keyword)
    6
    ⏱ 1 Week

    Python for Web & Automation

    • Introduction to Flask
      • Setting Up Flask Application
      • Routing, URL Parameters & Request Methods (GET/POST)
      • Jinja2 Templating (HTML rendering)
      • Flask Forms & Redirects
    • Database Connectivity
      • Connecting Python to MySQL (PyMySQL / mysql-connector)
      • CRUD Operations: INSERT, SELECT, UPDATE, DELETE
      • Introduction to SQLite with sqlite3 module
    • REST APIs & HTTP Requests
      • requests Library: GET, POST, Headers, Auth
      • Consuming Public APIs & Parsing JSON Responses
      • Building a Simple REST API with Flask
    • Web Scraping
      • BeautifulSoup for HTML Parsing
      • Scraping Tables & Lists from Websites
    • Automation with Selenium
      • Browser Automation: Click, Type, Navigate
      • Locators: id, name, XPath, CSS Selector
      • Taking Screenshots & Handling Alerts
    7
    ⏱ 0.5 Week

    Data Science Libraries Overview

    • NumPy for Numerical Computing
      • Arrays, Indexing, Slicing, Reshaping
      • Mathematical & Statistical Operations
    • Pandas for Data Analysis
      • Series & DataFrames: Creating & Importing (CSV/Excel)
      • Data Filtering, Sorting & Grouping
      • Handling Missing Values & Data Cleaning
    • Matplotlib & Seaborn for Visualization
      • Line, Bar, Scatter, Histogram & Pie Charts
      • Seaborn: heatmap, pairplot, boxplot
    • Introduction to Jupyter Notebooks
      • Markdown Cells, Magic Commands (%timeit, %run)
      • Exporting Notebooks to HTML/PDF
    8
    ⏱ 1 Week

    Capstone Projects & Deployment

    • Version Control with Git & GitHub
      • git init, add, commit, push, pull
      • Branching, Merging & Pull Requests
      • GitHub Repository Setup & Code Review
    • Virtual Environments & Dependency Management
      • venv, pip freeze, requirements.txt
    • Deployment Basics
      • Running Flask with Gunicorn & Nginx
      • Deploying to Heroku / Render (Cloud Hosting)
      • Introduction to Docker for Python Apps
    • Capstone Projects
      • Project 1: CRUD Web App with Flask & MySQL
      • Project 2: Data Analysis Dashboard (Pandas + Matplotlib)
      • Project 3: Web Scraper + Automation Script
      • Portfolio Setup: GitHub + Project Documentation

    Why Choose RIA Institute?

    🐍

    Versatile Skill

    Python is used in Web Development, Data Science, Automation, AI, and Network Programming. Our course opens doors to multiple career paths.

    👨‍💻

    Expert Mentors

    Learn from Python developers and data scientists who have deployed scalable applications and automation scripts.

    🌐

    Practical Projects

    Work on real-world web projects and data analysis tasks in class, building a portfolio for top jobs.

    🚀

    High Demand

    Python is consistently rated as the #1 programming language, making it essential for your career growth.

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