Python for Beginners
Sachin
4.9
(5.2k Ratings)
Course Overview
Beginner
Live Classes
Weekdays: 1 Hour/Day
Weekends: 3 Hours/Day
Total: 90 Hours
20 Topics
200+ Problems
10+ Projects using Python
LMS Portal Access (6 Months)
Session Recordings in LMS
Certificate of Completion
50% OFF
₹2499
About This Course
Python for Beginners is a live online training program designed to introduce absolute beginners to the fundamentals of Python programming.This interactive course focuses on building a strong foundation in programming through hands-on exercises and practical coding sessions.
Unlike pre-recorded courses, this program offers live classes with real-time instructor guidance, Q&A sessions, and coding exercises to ensure an engaging and structured learning experience.
The curriculum covers fundamental programming concepts such as data types, variables, operators, control flow, loops, functions, and basic data structures. You will also learn how to handle files, debug code, and solve problems efficiently through structured exercises and beginner-friendly projects.
Course Structure
Weekdays: 1 Hour per Day
Weekends: 3 Hours per Day
Total Duration: 90 Hours of Live Training
Pre-requirements
No prior programming experience is required for this course, making it ideal for complete beginners. However, if you want to develop a solid understanding of fundamental programming concepts, such as variables, data types, control structures, and basic problem-solving techniques, before diving into Python, we highly recommend starting with a foundational course. Strengthening your core programming skills can make it easier to grasp Python’s advanced concepts and syntax. To build a strong base and ensure a smooth learning journey, you may Check out our
Course Syllabus
19 Modules82 Topics
Module 1
Introduction to Computers
- Overview of computer systems
- The role of Programming Language
- Understanding binary and data representation
- Number Conversions
Module 2
Introduction to Python
- Overview of Python
- Setting up the Python environment
- Writing and running your first Python program
- Understanding Python’s syntax and structure
Module 3
Variables and Data Types
- Introduction to Variables
- Primitive Data Types
- Composite Data Types
- Type Conversion
- Mutable and Immutable Types
Module 4
Operators and Expressions
- Arithmetic Operators
- Comparison Operators
- Logical Operators
- Bitwise Operators
- Expressions in Python
Module 5
Conditional Statements
- The if Statement
- The else Statement
- The elif Statement
- Nested Conditionals
- Ternary Operators
Module 6
Loops
- The for Loop
- The while Loop
- Nested Loops
- Loop Control Statements
- Iterators
Module 7
Functions
- Defining Functions
- Function Arguments
- Return Values
- Scope and Lifetime
- Lambda Functions
Module 8
Number Crunching
- Mathematical Functions
- Random Numbers
- Statistics
- NumPy Library
Module 9
Patterns
- Pattern Matching
- Regular Expressions
- Wildcards
- String Patterns
Module 10
Arrays
- Introduction to Arrays
- Array Operations
- Multidimensional Arrays
- Array Libraries
Module 11
2D Arrays
- Introduction to 2D Arrays
- 2D Array Operations
- Matrix Manipulations
- Applications of 2D Arrays
Module 12
Strings
- Introduction to Strings
- String Operations
- String Methods
- String Formatting
Module 13
Tuples
- Introduction to Tuples
- Tuple Operations
- Nested Tuples
- Applications of Tuples
Module 14
Dictionaries
- Introduction to Dictionaries
- Dictionary Operations
- Nested Dictionaries
- Applications of Dictionaries
Module 15
Sets
- Introduction to Sets
- Set Operations
- Set Methods
- Applications of Sets
Module 16
Working with Modules
- Introduction to Modules
- Importing Modules
- Creating Modules
- Using Standard Library Modules
Module 17
File Handling
- Introduction to File Handling
- Reading Files
- Writing to Files
- Working with CSV Files
Module 18
Exception Handling
- Introduction to Exception Handling
- Try and Except Blocks
- Handling Multiple Exceptions
- Creating Custom Exceptions
Module 19
Project Building
- Understanding Project Requirements
- Planning and Structuring a C++ Project
- Implementing Core Features
- Debugging and Optimization
- Final Project Submission and Review
Certificate of the Course
Upon successfully completing the course, you will be awarded the prestigious Certificate of Excellence from LearnLogicify Technologies. This certificate is a testament to your dedication and mastery of the subject, showcasing your commitment to continuous learning and your ability to apply advanced skills. It will be a valuable addition to your professional portfolio, helping you stand out to potential employers and opening doors to new career opportunities.
Certification Process and Requirements
Upon successfully completing the Core Programming - Python course, you will be required to take a final assessment to qualify for certification.
This assessment evaluates your understanding of Python programming fundamentals, data structures, and real-world problem-solving skills covered in the course.
It is conducted under structured guidelines to ensure fairness and integrity.
The final assessment is for 100 marks and contributes 100% to your certification score. Throughout the course, students are encouraged to solve practice problems and complete exercises to strengthen their understanding, but these do not contribute to the final certification score.
To be eligible for the certificate, you must meet the following criteria
- Achieve a score of 50% or more in the final assessment.
If this condition is met, you will receive a certificate of completion for the Core Programming - Python course. If you do not achieve the required score, you will have the opportunity to retake the final assessment once.
This structured evaluation ensures that only those who demonstrate a solid understanding of the course material and its applications are awarded the certificate, maintaining the integrity and value of the certification.
FAQ
Complete Python Mastery is a live online training program with interactive sessions. Classes are conducted in real-time with hands-on coding, Q&A sessions, and instructor-led discussions.
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