Mastering Python: Programming Essentials

Elevate Your Coding Skills. Power of this High-Level Language for Web Development, Data Science, AI, and Diverse Applications using Python!
$ 74.99
5
30,000
30,000
Students
Beginner
Certified
23 Hours
6 Modules
15 Sub Modules

Overview

The Python course at keySkillset is designed to provide a thorough introduction to Python programming. It covers basic to advanced concepts, including syntax, control structures, functions, and object-oriented programming. The course focuses on practical applications and hands-on learning. Learn hands-on coding in the Python Sandbox with ease and securely.

Key Features

  1. Interactive Lessons: The course includes interactive lessons with step-by-step instructions in Guided Simulation.
  2. Practical Exercises: Hands-on exercises to practice and reinforce learning.
  3. Quizzes and Assessments: Periodic quizzes and assessments to test your understanding and track your progress.
  4. Support and Community: Support from instructors and a community of learners for collaboration and assistance.

Tools & Skills Covered

  • Basic Python Syntax: Variables, data types, and basic operations.
  • Control Structures: Conditional statements and loops.
  • Functions: Writing reusable code with functions.
  • Object-Oriented Programming: Classes, objects, and OOP principles.
  • Data Handling: Reading and writing data to files.
  • Data Structures: Lists, dictionaries, and tuples.

Who should take this Course?

Beginners with no programming experience.
Aspiring developers and IT professionals.
Data analysts and business professionals.
Anyone interested in learning Python for various applications.

Course Curriculum

Module 1

Introduction to Python

Module 2

Variables, Data Types and Operators

Module 3

Data Types

Module 4

Which Python version is best for beginners?

Module 5

Mutable/Immutable objects

Certify Your Skills

Upon completing this course, you will get a certification from keySkillset. You can flaunt your skills with this
certificate by adding it to your resume, LinkedIn profile, or portfolio.

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