Python Bootcamp for Data Analysis #3: Conditions

Python Bootcamp for Data Analysis #3: Conditions, available at Free, has an average rating of 4.92, with 17 lectures, based on 6 reviews, and has 971 subscribers.

You will learn about Master the fundamental elements of Python Gain the ability to control the flow of Python scripts using conditional statements and loops Through hands-on projects, learn to write efficient Python code to solve practical problems Enhance problem-solving skills This course is ideal for individuals who are Individuals looking to enter the fields of data analysis or data science and need a solid foundation in Python or College or university students and recent graduates who want to add Python programming and data analysis skills to their portfolio or Professionals aiming to switch careers to tech-oriented roles It is particularly useful for Individuals looking to enter the fields of data analysis or data science and need a solid foundation in Python or College or university students and recent graduates who want to add Python programming and data analysis skills to their portfolio or Professionals aiming to switch careers to tech-oriented roles.

Enroll now: Python Bootcamp for Data Analysis #3: Conditions

Summary

Title: Python Bootcamp for Data Analysis #3: Conditions

Price: Free

Average Rating: 4.92

Number of Lectures: 17

Number of Published Lectures: 17

Number of Curriculum Items: 17

Number of Published Curriculum Objects: 17

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Master the fundamental elements of Python
Gain the ability to control the flow of Python scripts using conditional statements and loops
Through hands-on projects, learn to write efficient Python code to solve practical problems
Enhance problem-solving skills

Who Should Attend

Individuals looking to enter the fields of data analysis or data science and need a solid foundation in Python
College or university students and recent graduates who want to add Python programming and data analysis skills to their portfolio
Professionals aiming to switch careers to tech-oriented roles

Target Audiences

Individuals looking to enter the fields of data analysis or data science and need a solid foundation in Python
College or university students and recent graduates who want to add Python programming and data analysis skills to their portfolio
Professionals aiming to switch careers to tech-oriented roles

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 third module, we’ll explore the intricacies of Python conditions and comprehensions. Starting with the basics of conditional statements such as “if”, “elif”, and “else”, you will learn how to control the flow of your programs. We will also dive into loops, using “while”, and the utility of “break” and “continue” statements to manage looping in more complex scenarios. Through practical examples, including writing functions with the “enumerate” and “zip” functions, you will see how these tools can be applied to real-world data tasks.

The module continues with advanced list and dictionary comprehensions, enabling you to write cleaner, more efficient code. Through a series of lectures and hands-on practice sessions, you will become proficient in crafting concise and powerful one-liners that perform complex operations with ease.

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: Conditions

Lecture 1: Course Materials

Lecture 2: If statements

Lecture 3: Elif and Else

Lecture 4: Loops

Lecture 5: Example: Alternating

Lecture 6: Break, Continue, and While

Lecture 7: Enumerate

Lecture 8: Example: Enumerate

Lecture 9: Writing Alternating Function with Enumerate

Lecture 10: Zip

Lecture 11: Lambda, Map, Filter, and Reduce

Chapter 2: Comprehensions

Lecture 1: List Comprehensions

Lecture 2: Dictionary Comprehensions

Lecture 3: Example: Dictionary Comprehensions

Lecture 4: Hands-On Practice with List and Dictionary Comprehensions I

Lecture 5: Hands-On Practice with List and Dictionary Comprehensions II

Lecture 6: Hands-On Practice with List and Dictionary Comprehensions III

Instructors

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

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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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