Python for Absolute Beginners with Hands-on Practice

Start Coding Today with Simple, Clear, and Practical Lessons
What you'll learn
Learn about variables, data types, strings, operators, and control statements in python fundamentals.
To efficiently store and work with data, use python collections such as lists, tuples, sets, and dictionaries.
Use basic principles of programming such as conditional statements, loops, functions, and Object-Oriented Programming (OOP)
Write robust and reliable Python applications by handling errors and exceptions.
For useful applications, use well-known Python modules including Math, DateTime, JSON, and PIP.
Know about Pandas for data analysis.
Use NumPy for numerical computation to carry out data operations.
Create charts and plots with Matplotlib to efficiently visualize data.
Create, import, and reuse Python modules to create programs with modules.
Develop hands-on skills supported by quizzes, coding activates, and real world examples.
Requirements
No programming experience required.
Description
Are you new to programming and would like to start with one of the most widely used and accessible languages worldwide? The goal of this course, "Python for Absolute Beginners with Hands-on Practice", is to help you become an experienced Python programmer by providing you with clear explanations, organized lectures, and lots of real-world scenarios.The first step in this course is to set up your Python environment in Google Colab and Anaconda so you can work on any system easily. The fundamentals of Python will next be progressively covered, including how to create and handle variables, interact with data types, work with strings, and control the logic of your program using operators and conditional statements.As you progress, you'll learn how to store, retrieve, and process data effectively by digging deeply into Python's basic data structures, including lists, tuples, sets, and dictionaries. Additionally, you will get a solid understanding of loops, functions, and object-orientated programming (OOP), all of which are required for creating scalable and reusable code.The course also covers error handling, modules, and many other topics to improve your programming knowledge and provide you with the skills to create reliable applications. In order to successfully analyze and present data, you will investigate Python's robust built-in and external libraries, including NumPy for numerical computing, Pandas for data analysis, and Matplotlib for data visualization.In order to reinforce learning and enable you to put what you've learnt into practice right away, each section contains assessments. This course gives you the solid foundation you need to pursue a career in data science, artificial intelligence, or web development or just to automate tasks.
Who this course is for
Beginner
Intermediate
Non-technical
Students
Professional
Homepage
https://www.udemy.com/course/python-for-absolute-beginners-with-hands-on-practice/

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