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Micro Learning | Python Basic course with Practice (30 days)

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Micro Learning | Python Basic course with Practice (30 days), available at $54.99, with 310 lectures, 147 quizzes, and has 3 subscribers.

You will learn about Understand the basic syntax and structure of Python code Use variables, data types, and operators in Python Control program flow using conditional statements (if-else) and loops (for, while) Define and use functions to modularize code Work with data structures such as lists, tuples, and dictionaries Read from and write to files using Python Handle exceptions and errors in Python programs Use modules and libraries to extend Python's functionality Apply object-oriented programming (OOP) concepts in Python Develop problem-solving skills through practical coding exercises and projects This course is ideal for individuals who are Beginners: Individuals with little to no prior programming experience who want to learn Python from scratch. or Career Switchers: Professionals looking to switch careers or add programming skills to their existing skill set. or Students: High school, college, or university students who want to learn Python as part of their curriculum or for personal projects. or Hobbyists: People who want to learn Python as a hobby or for personal interest in programming and technology. or Data Enthusiasts: Individuals interested in exploring data analysis, manipulation, and visualization using Python. or Aspiring Developers: Those who want to start their journey in software development or web development using Python. or Business Professionals: Non-technical professionals who want to understand and apply basic programming concepts to their work or collaborate better with technical teams. It is particularly useful for Beginners: Individuals with little to no prior programming experience who want to learn Python from scratch. or Career Switchers: Professionals looking to switch careers or add programming skills to their existing skill set. or Students: High school, college, or university students who want to learn Python as part of their curriculum or for personal projects. or Hobbyists: People who want to learn Python as a hobby or for personal interest in programming and technology. or Data Enthusiasts: Individuals interested in exploring data analysis, manipulation, and visualization using Python. or Aspiring Developers: Those who want to start their journey in software development or web development using Python. or Business Professionals: Non-technical professionals who want to understand and apply basic programming concepts to their work or collaborate better with technical teams.

Enroll now: Micro Learning | Python Basic course with Practice (30 days)

Summary

Title: Micro Learning | Python Basic course with Practice (30 days)

Price: $54.99

Number of Lectures: 310

Number of Quizzes: 147

Number of Published Lectures: 309

Number of Published Quizzes: 147

Number of Curriculum Items: 457

Number of Published Curriculum Objects: 456

Original Price: $49.99

Quality Status: approved

Status: Live

What You Will Learn

  • Understand the basic syntax and structure of Python code
  • Use variables, data types, and operators in Python
  • Control program flow using conditional statements (if-else) and loops (for, while)
  • Define and use functions to modularize code
  • Work with data structures such as lists, tuples, and dictionaries
  • Read from and write to files using Python
  • Handle exceptions and errors in Python programs
  • Use modules and libraries to extend Python's functionality
  • Apply object-oriented programming (OOP) concepts in Python
  • Develop problem-solving skills through practical coding exercises and projects

Who Should Attend

  • Beginners: Individuals with little to no prior programming experience who want to learn Python from scratch.
  • Career Switchers: Professionals looking to switch careers or add programming skills to their existing skill set.
  • Students: High school, college, or university students who want to learn Python as part of their curriculum or for personal projects.
  • Hobbyists: People who want to learn Python as a hobby or for personal interest in programming and technology.
  • Data Enthusiasts: Individuals interested in exploring data analysis, manipulation, and visualization using Python.
  • Aspiring Developers: Those who want to start their journey in software development or web development using Python.
  • Business Professionals: Non-technical professionals who want to understand and apply basic programming concepts to their work or collaborate better with technical teams.

Target Audiences

  • Beginners: Individuals with little to no prior programming experience who want to learn Python from scratch.
  • Career Switchers: Professionals looking to switch careers or add programming skills to their existing skill set.
  • Students: High school, college, or university students who want to learn Python as part of their curriculum or for personal projects.
  • Hobbyists: People who want to learn Python as a hobby or for personal interest in programming and technology.
  • Data Enthusiasts: Individuals interested in exploring data analysis, manipulation, and visualization using Python.
  • Aspiring Developers: Those who want to start their journey in software development or web development using Python.
  • Business Professionals: Non-technical professionals who want to understand and apply basic programming concepts to their work or collaborate better with technical teams.

Python Programming Fundamentals – A 30-Day Micro Learning Journey

Course Description: Embark on an exciting 30-day micro learning journey to master the fundamentals of Python programming! This comprehensive course is designed for beginners who want to learn Python in a structured and bite-sized manner. Throughout the course, you’ll gain hands-on experience with Python syntax, data types, control structures, functions, and more.

Our micro learning approach ensures that you can easily fit learning into your busy schedule. Each day, you’ll dedicate just 15-30 minutes to learn a new concept, complete a short coding exercise, and reinforce your understanding through practical examples.

Course Highlights:

  • 30 bite-sized lessons covering essential Python topics

  • Hands-on coding exercises and projects to apply your knowledge

  • Real-world examples and practical applications

  • Quizzes and assessments to track your progress

  • Access to a supportive learning community and expert instructors

Course Outline: Week 1: Python Basics

  • Day 1: Introduction to Python and setting up the development environment

  • Day 2: Python syntax, comments, and variables

  • Day 3: Data types (numbers, strings, booleans)

  • Day 4: Basic input and output operations

  • Day 5: Operators and expressions

  • Day 6: Conditional statements (if-else)

  • Day 7: Loops (for and while)

Week 2: Data Structures and Functions

  • Day 8: Lists and list manipulation

  • Day 9: Tuples and their applications

  • Day 10: Dictionaries and key-value pairs

  • Day 11: Sets and set operations

  • Day 12: Functions and parameter passing

  • Day 13: Scope and global/local variables

  • Day 14: Recursion and recursive functions

Week 3: Object-Oriented Programming (OOP) and Modules

  • Day 15: Introduction to OOP concepts

  • Day 16: Classes and objects

  • Day 17: Inheritance and polymorphism

  • Day 18: Encapsulation and data hiding

  • Day 19: Modules and importing libraries

  • Day 20: File handling (reading and writing files)

  • Day 21: Exception handling and error management

Week 4: Advanced Topics and Projects

  • Day 22: Lambda functions and map/filter/reduce

  • Day 23: List comprehensions and generator expressions

  • Day 24: Regular expressions and string manipulation

  • Day 25: Introduction to web scraping with Python

  • Day 26: Working with APIs and JSON data

  • Day 27: Introduction to data analysis with Python (NumPy and Pandas)

  • Day 28-30: Capstone projects and real-world applications

By the end of this course, you’ll have a solid foundation in Python programming and be equipped with the skills to tackle real-world projects. You’ll also have a portfolio of coding exercises and projects to showcase your newfound knowledge.

Whether you’re a complete beginner or looking to refresh your Python skills, this micro learning course provides a structured and engaging learning experience. Join us on this 30-day journey and unlock the power of Python programming!

Enroll now and start your Python programming journey today!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Getting Started

Lecture 1: Introduction : Getting Started

Chapter 3: Day 1: Introduction to Python

Lecture 1: Brief Description

Lecture 2: What is Python?

Lecture 3: Installing Python on Windows

Lecture 4: Installing Python on Linux

Lecture 5: First Python Program

Lecture 6: Article : Writing and Running the First Python Program

Lecture 7: DEMO : Practical : Hello World!

Lecture 8: Practical Exercises : Day 1

Lecture 9: Summary : Day 1

Lecture 10: Download : Day 1

Chapter 4: Day 2: Variables and Data Types

Lecture 1: Learn : Variables and Data Types

Lecture 2: Learn : Variables (Examples)

Lecture 3: Learn : Data Types (Examples)

Lecture 4: Learn : Type Conversion (Examples)

Lecture 5: DEMO : Day 2 (Practical Examples)

Lecture 6: Practical Exercises : Day 2

Lecture 7: Summary : Day 2

Lecture 8: Download : Day 2

Chapter 5: Day 3: Basic Arithmetic Operations

Lecture 1: Learn : Basic Arithmetic Operators

Lecture 2: Learn : Arithmetic Opeprators (Examples)

Lecture 3: DEMO : Day 3 (Practical Examples)

Lecture 4: Practical Exercises : Day 3

Lecture 5: Summary : Day 3

Lecture 6: Download : Day 3

Chapter 6: Day 4: Strings

Lecture 1: Strings : Brief Description

Lecture 2: Learn : Strings in Python

Lecture 3: Learn : Creating Strings (Example)

Lecture 4: Learn : String Methods (Example)

Lecture 5: Learn : String Concatenation (Example)

Lecture 6: Learn : String Formatting (Example)

Lecture 7: DEMO : Day 4 (Practical Example)

Lecture 8: Practical Exercises : Day 4

Lecture 9: Summary : Day 4 (Strings)

Lecture 10: Download : Day 4

Chapter 7: Day 5: Lists

Lecture 1: Lists : Brief Description

Lecture 2: Learn : Lists in Python

Lecture 3: Learn : Creating Lists (Example)

Lecture 4: Learn : Accessing List Elements (Example)

Lecture 5: Learn : Modifying List Elements (Example)

Lecture 6: Learn : Adding Elements to a List (Example)

Lecture 7: Learn : Removing Elements from a List (Example)

Lecture 8: Learn : List Slicing (Example)

Lecture 9: DEMO : Day 5 (Practical Example)

Lecture 10: Practical Exercises : Day 5

Lecture 11: Summary : Day 5 (Lists)

Lecture 12: Download : Day 5

Chapter 8: Day 6: Tuples

Lecture 1: Tuples : Brief Description

Lecture 2: Learn : Tuples in Python

Lecture 3: Learn : Creating Tuples (Example)

Lecture 4: Learn : Accessing Tuple Elements (Example)

Lecture 5: Learn : Immutability of Tuples (Example)

Lecture 6: Learn : Common Tuple Operations (Example)

Lecture 7: Learn : Tuple Packing and Unpacking (Example)

Lecture 8: DEMO : Day 6 (Practical Example)

Lecture 9: Practical Exercises : Day 6 (Tuples)

Lecture 10: Summary : Day 6 (Tuples)

Lecture 11: Download : Day 6

Chapter 9: Day 7: Dictionaries

Lecture 1: Dictionaries : Brief Description

Lecture 2: Learn : Dictionaries in Python

Lecture 3: Learn : Creating Dictionaries (Example)

Lecture 4: Learn : Accessing Dictionary Elements (Example)

Lecture 5: Learn : Modifying Dictionary Elements (Example)

Lecture 6: Learn : Removing Dictionary Elements (Example)

Lecture 7: Learn : Common Dictionary Operations (Example)

Lecture 8: DEMO : Day 7 (Practical Example)

Instructors

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Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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