Python Bootcamp for Data Analysis #2: Functions

Python Bootcamp for Data Analysis #2: Functions, available at Free, has an average rating of 4.25, with 9 lectures, based on 14 reviews, and has 652 subscribers.

You will learn about Understand and articulate the concept of functions in Python and their importance in simplifying and managing code complexity Write functions using proper syntax, including docstrings to document the purpose and parameters of the function Utilize predefined arguments Identify the appropriate scenarios for defining functions This course is ideal for individuals who are Those interested in entering the field of data analysis and want to build a strong foundation in Python or Professionals aiming to transition into tech roles or Undergraduate and graduate students who require Python programming skills for research, projects, or coursework in computer science, engineering, statistics, or related fields. or Anyone with an interest in programming and data analysis It is particularly useful for Those interested in entering the field of data analysis and want to build a strong foundation in Python or Professionals aiming to transition into tech roles or Undergraduate and graduate students who require Python programming skills for research, projects, or coursework in computer science, engineering, statistics, or related fields. or Anyone with an interest in programming and data analysis.

Enroll now: Python Bootcamp for Data Analysis #2: Functions

Summary

Title: Python Bootcamp for Data Analysis #2: Functions

Price: Free

Average Rating: 4.25

Number of Lectures: 9

Number of Published Lectures: 9

Number of Curriculum Items: 9

Number of Published Curriculum Objects: 9

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Understand and articulate the concept of functions in Python and their importance in simplifying and managing code complexity
Write functions using proper syntax, including docstrings to document the purpose and parameters of the function
Utilize predefined arguments
Identify the appropriate scenarios for defining functions

Who Should Attend

Those interested in entering the field of data analysis and want to build a strong foundation in Python
Professionals aiming to transition into tech roles
Undergraduate and graduate students who require Python programming skills for research, projects, or coursework in computer science, engineering, statistics, or related fields.
Anyone with an interest in programming and data analysis

Target Audiences

Those interested in entering the field of data analysis and want to build a strong foundation in Python
Professionals aiming to transition into tech roles
Undergraduate and graduate students who require Python programming skills for research, projects, or coursework in computer science, engineering, statistics, or related fields.
Anyone with an interest in programming and data analysis

Step into Miuul’s Python Bootcamp for Data Analysis, a beginner-friendly course tailored to transform newcomers into adept programmers. Embark on your programming journey with Miuul!

Miuul’s Python Bootcamp is designed not just to teach but to inspire creativity and innovation in coding. Each module in this series is constructed with a hands-on approach, allowing you to directly apply what you learn in real-world scenarios.

In this module, we will delve into Python functions, teaching you how to define and use functions to make your code more modular, reusable, and manageable. You’ll learn to write functions with proper syntax, utilize arguments and return values effectively, and understand how functions can streamline your coding process, especially in data analysis.

Moreover, as you progress, you’ll tackle more complex concepts and techniques, preparing you for advanced topics in future courses. This bootcamp is your gateway to becoming a proficient Python programmer, equipped with the knowledge to tackle data analysis challenges and beyond.

Join us at Miuul’s Python Bootcamp for Data Analysis, where learning to code becomes an adventure, empowering you to write, analyze, and innovate. Here, every line of code you write brings you one step closer to mastering the art of Python programming.

Course Curriculum

Chapter 1: Python Functions

Lecture 1: Course Materials

Lecture 2: Introduction

Lecture 3: Docstring

Lecture 4: Statements

Lecture 5: Predefined Arguments

Lecture 6: When to Write a Function

Lecture 7: Return Functions

Lecture 8: Calling Functions within Functions

Lecture 9: Local and Global Variables

Instructors

Miuul Data Science & Deep Learning
Data Science Team of Miuul.com

Rating Distribution

1 stars: 0 votes
2 stars: 2 votes
3 stars: 2 votes
4 stars: 3 votes
5 stars: 7 votes

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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