Python for Absolute Beginners with Hands-on Practice.
About this course
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.
69/100
CourseAsk score
- What the provider tells you
- 45/45
- Who stands behind it
- 8/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- set up Python environments in Google Colab and Anaconda
- create and handle variables
- work with data types including strings
- use operators and conditional statements
- manipulate data structures like lists and dictionaries
- implement loops and functions
- understand object-oriented programming
- perform error handling
- utilize libraries like NumPy and Pandas for data analysis
Course objectives
- provide a clear foundation in Python programming
- enhance problem-solving skills through coding
- prepare for advanced topics in data science and web development
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