Quality Thoughts Python advanced practical learning course
Python - Beginners to Advanced
Updated on Sep, 2025
Language - English
Development ,Programming Languages,Python
Lectures -732
Resources -5
Quizzes -163
Duration -28.5 hours
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Course Description
The program follows a hands-on approach with coding exercises, projects, and assessments at every stage, ensuring not just theoretical understanding but also practical application. By the end of the training, learners will be capable of building end-to-end applications, automating tasks, and solving complex problems using Python.
Goals
By completing this program, learners will:- Gain strong foundational knowledge of Python programming.
- Develop problem-solving and algorithmic thinking skills.
- Understand and apply object-oriented programming concepts.
- Work with external libraries and frameworks for real-world development.
- Perform data handling, visualization, and database integration.
- Build automation scripts and scalable applications.
- Acquire industry-ready skills to work as a Python developer or data-driven professional.
Prerequisites
- No prior programming knowledge is required (course starts from scratch).
- Basic computer literacy (using files, installing software).
- Curiosity to learn coding and problem-solving.
Curriculum
Check out the detailed breakdown of what’s inside the course
Week 1 | Day 1 - Fundamentals of Computer Systems
7 Lectures
-
Introduction to Computer Organization
14:34
14:34
-
Memory System
11:17
11:17
-
I/O Devices And Operating System
09:18
09:18
-
Background part 1 (IO devices, CPU, and Memory )
-
Quiz for Background part 1 (IO devices, CPU, and Memory )
-
Background part 2 ( Computer Organization and OS )
-
Quiz for Background part 2 ( Computer Organization and OS )
Week 1 | Day 2 - Introduction to Programming Concepts
7 Lectures
Week 1 | Day 3 - Setting Up Python and basic Syntax
18 Lectures
Week 1 | Day 4 - Python Variables and Data Types
9 Lectures
Week 1 | Day 5 - Practice Problem
10 Lectures
Week 2 | Day 1 - Introduction to Operators
12 Lectures
Week 2 | Day 2 - Comparison and Identity Operators
10 Lectures
Week 2 | Day 3 - Bitwise, membership Operator
7 Lectures
Week 2 | Day 4 - conditional statements
10 Lectures
Week 2 | Day 5 - practice problems
8 Lectures
Week 3 | Day 1 - Match Statements (Switch case)
8 Lectures
Week 3 | Day 2 - Introduction to Loops
10 Lectures
Week 3 | Day 3 - For Loop and problems
21 Lectures
Week 3 | Day 4 - control statements and problems
15 Lectures
Week 3 | Day 5 - Introduction to Data Structures
25 Lectures
Week 4 | Day 1 - Patterns in Python
14 Lectures
Week 4 | Day 2 - Patterns in Python 2
11 Lectures
Week 4 | Day 3 - count digits and Factorial in Python
11 Lectures
Week 4 | Day 4 - GCD and LCM in Python
10 Lectures
Week 4 | Day 5 - Fibonacci Series & Prime Numbers in Python
10 Lectures
Week 5 | Day 1 - All Divisors & Function Introduction In Python
8 Lectures
Week 5 | Day 2 - Functions in Python 2
10 Lectures
Week 5 | Day 3 - Pre Defined Functions in Python
11 Lectures
Week 5 | Day 4 - Global & Local Scope || Practice Problems
10 Lectures
Week 5 | Day 5 - Exception handling in Python
11 Lectures
Week 6 | Day 1 - Introduction to Strings
10 Lectures
Week 6 | Day 2 - String Operations
5 Lectures
Week 6 | Day 3 - More String Operations and formatting
9 Lectures
Week 6 | Day 4 - Advanced String Operations
11 Lectures
Week 6 | Day 5 - Practice problems on string
15 Lectures
Week 7 - Day 1 - Lists: Basics & Access
13 Lectures
Week 7 - Day 2 - Lists: Applications, Loop, Comprehension and Copy
13 Lectures
Week 7 - Day 3 - Tuples Basics
13 Lectures
Week 7 - Day 4 - Tuples: Features, Loop and Conversion
20 Lectures
Week 7 - Day 5 - Sets: Intro, Operations and Use Cases
13 Lectures
Week 8 - Day 1 - Sets: Comprehension, Types and Relationships
13 Lectures
Week 8 - Day 2 - Dictionary: Basics, Access and Methods
16 Lectures
Week 8 - Day 3 - Dictionary: Use Cases, Looping, etc.
15 Lectures
Week 8 - Day 4 - Arrays: Intro, Module & Accessing Elements
13 Lectures
Week 8 - Day 5 - Arrays: Methods, Applications, Loop & Conversion
16 Lectures
Week 9 - Day 1 - OOP Intro, Class & Objects
13 Lectures
Week 9 - Day 2 - Init, Del, Instance/Class/Static Methods
22 Lectures
Week 9 - Day 3 - Modifiers, Properties, Encapsulation
16 Lectures
Week 9 - Day 4 - Inheritance, Mixins, Overriding
17 Lectures
Week 9 - Day 5 - Polymorphism, Binding, Overloading
17 Lectures
Week 10 - Day 1 - File Handling Basics
12 Lectures
Week 10 - Day 2 - Writing, Positioning, Error Handling
12 Lectures
Week 10 - Day 3 - Directory Basics & Navigation
12 Lectures
Week 10 - Day 4 - Directory Tree Handling & Permissions
8 Lectures
Week 10 - Day 5 - File handling continue with revision
7 Lectures
Week 11 - Day 1 - NumPy Introduction & Arrays
14 Lectures
Week 11 - Day 2 - Array Operations
12 Lectures
Week 11 - Day 3 - Aggregation Functions
12 Lectures
Week 11 - Day 4 - Advanced Indexing
12 Lectures
Week 11 - Day 5 - NumPy Math Functions
12 Lectures
Week 12 - Day 1 - Pandas Series and DataFrame
12 Lectures
Week 12 - Day 2 - Data Selection and Slicing
12 Lectures
Week 12 - Day 3 - Data Manipulation Basics
12 Lectures
Week 12 - Day 4 - Data Cleaning and Transformation
12 Lectures
Week 12 - Day 5 - Capstone Exercise: Real Data Analysis
8 Lectures
Instructor Details
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