Python

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Breadcrumb Abstract Shape
Breadcrumb Abstract Shape
Breadcrumb Abstract Shape

Course Description:
Unlock the full power of Python—from your very first line of code to building advanced applications. This all-in-one course is designed to guide learners step-by-step, whether you’re just starting or looking to take your Python skills to the next level. You’ll begin with the basics, such as variables, data types, and control flow, then progress to advanced topics like object-oriented programming, file handling, modules, error management, and more. The course also explores real-world applications of Python in web development, automation, and data processing.

By the end of this journey, you’ll have the confidence and skills to build robust Python programs, solve complex problems, and even begin exploring frameworks and libraries used in professional development.

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What Will You Learn?
  • Core Python syntax and data structures
  • Writing efficient, clean, and maintainable code
  • Advanced functions and object-oriented programming
  • File handling, exceptions, and module management
  • Practical projects for automation and data manipulation
  • Best practices and tools for real-world Python development

Audience

  • Aspiring programmers, software developers, and tech enthusiasts—from absolute beginners to those with basic knowledge who want to master advanced Python concepts.

Course Content

Beginner- Python Foundations
Goal: Learn core programming concepts and get comfortable with writing and reading Python code. 🔹 Getting Started with Python • Installing Python, Jupyter, VS Code • Writing your first script: Hello World! • Variables, data types, input(), print(), type() 🔹 Operators, Strings, and Numbers • String operations, formatting • Mathematical operations, type casting 🔹 Conditions and Loops • if, elif, else, logical operators • for loop, while loop • Loop tools: range, enumerate, zip • 💻 Assignment: Login validator / Grading system 🔹 Functions, Lambda, and Basics of Code Reuse • Defining functions, return values • Arguments (*args, **kwargs) • Lambda functions • 💻 Mini Project: CLI Calculator / Marks summary tool

  • Introduction to Python
  • Basic Syntax
  • Variables and Data Types
  • Operators
  • Conditional Statements
  • Loops
  • Data Structures – Part 1
  • Beginner

Intermediate- Python Data Structures, OOP & File Handling
Goal: Handle real-world data formats, write cleaner code, and build foundational logic skills. 🔹 Lists, Tuples, Dictionaries & Sets • CRUD operations on lists • Tuples (immutability), nested lists • Key-value stores (dict), loops in dicts • Sets for uniqueness & operations • 🧠 Optional Challenge: Build a Contact Book / Inventory Manager 🔹 File I/O + Error Handling • Reading/writing text and CSV files • Using with open() • JSON parsing (json module) • Try-Except blocks, custom exceptions • 💻 Mini Project: Log analyzer / Quiz app with JSON 🔹 Object-Oriented Programming (OOP) • Classes, objects, __init__, self • Methods, Inheritance • Special methods (__str__, method overriding) • 💻 Project: Bank account / Student grading system ________________________________________ 🟠 Applied Python – Data Analysis with NumPy & Pandas Goal: Transition from Python programming to real-world data analysis. 🔹 NumPy – Working with Arrays • Array vs List, creation, indexing • Reshape, slicing, broadcasting • Vectorized operations, aggregations 🔹 Pandas Series & DataFrames • Creating, reading CSV/Excel • Exploring data: head(), info(), describe() • Filtering, sorting, indexing (iloc, loc) 🔹 Cleaning & Transforming Data • Handling nulls: dropna(), fillna() • Data types, replace, astype, duplicates • Grouping: groupby(), agg(), value_counts() • Joining/merging multiple datasets • 💻 Project: IPL Stats Explorer / Titanic Dataset Deep Dive

Advanced – Visualization, EDA, and Capstone
Goal: Build complete data projects using end-to-end exploratory data analysis and share your work. 🔹 Visualization with Matplotlib & Seaborn • Bar, line, scatter, pie charts • Countplot, boxplot, heatmap, pairplot • Titles, legends, axis labels 🔹 End-to-End EDA + Project Launch • Real-life dataset EDA: Netflix, COVID, Ecommerce, Student Data • Define objectives, clean data, visualize trends • 💻 Capstone Kickoff: Project planning & GitHub setup 🔹 Build, Polish, Present • Project building (3-day sprint) • Peer feedback & debugging tips • Final presentation (with GitHub upload) • ✅ Capstone Showcase: Walkthrough + Resume Integration

Bonus
● - Public APIs with requests ● - Intro to venv & amp; Requirements.txt ● - Resume tips for Data roles ● - Next steps: SQL, ML, Portfolio

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Course Includes:

  • Price:
    Original price was: $500.00.Current price is: $300.00.
  • Instructor:admin
  • Duration: 45 minutes
  • Lessons:20
  • Students:0
  • Level:All Levels
$300.00 $500.00