A NonProgrammer's Guide to Python for Analytics

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Description of A NonProgrammer's Guide to Python for Analytics

Unlocking Insights with Python: A Step-by-Step Guide for Non-Programmers
What you'll learn:
Students will master the fundamentals of Python programming language, covering topics such as syntax, variables, data types, and control structures.
Learners will understand essential data structures in Python, including lists, tuples, dictionaries, and sets, and learn how to manipulate and iterate over them
Participants will explore how to define and use functions to modularize code and increase reusability, as well as how to import and work with modules in Python.
Students will learn how to read from and write to files in Python, enabling them to interact with external data sources and store program output.
Learners will grasp the concept of exception handling in Python and learn how to use try-except blocks to handle errors gracefully & maintain program stability.
A project through which students will apply their Python programming skills to solve real-world problems and reinforce their learning.
Requirements:
As it is a beginners course there are no prerequisites.
Description:

Who this course is for:
Non-Programmers: This course is tailored specifically for individuals with little to no programming experience who are eager to delve into data analytics.

Researchers and Academics: Ideal for researchers and academics looking to enhance their data analysis skills.

Lifelong Learners: Perfect for individuals with a passion for continuous learning and a desire to stay relevant in today's data-driven world.