Course · Beginner
Python Functions and Jupyter Notebook
In this course, you'll continue learning the fundamentals of Python for data science. You'll learn not only how to perform specific data analysis tasks using Python functions but also how to install Jupyter Notebook, a web-based platform that will help you to develop and present your data science projects.
- Beginner friendly
- 7 hrs
- 4 lessons
- 2 projects
- Premium
Course overview
Create reusable Python functions and run analyses in Jupyter Notebook to organize code, debug logic, and complete portfolio-ready data projects.
What's inside
4 lessons · 2 projects
- 01 194 minGuided Project: Profitable App Profiles for the App Store and Google Play Markets Project
For this project, you'll be a data analyst at a company that builds free, ad-supported Android and iOS apps. To drive revenue, you'll analyze real app market data to find app profiles that attract the most users.
- 02 47 minProject: Learn and Install Jupyter Notebook Project
For this project, you'll take on the role of a Jupyter Notebook beginner. You'll learn the essentials of running code, adding explanatory text, and installing Jupyter locally to prepare for real-world data projects.
- 03 34 minPython Functions: Using Built-in Functions and Creating Functions
Learn how to improve your workflow using functions.
- 04 65 minPython Functions: Arguments, Parameters, and Debugging
Learn how to apply python functions.
- 05 35 minPython Functions: Built-in Functions and Multiple Return Statements
Learn how to use built in Python functions and write functions with multiple return statements.
- 06 43 minPython Functions: Returning Multiple Variables and Function Scopes
Learn how to return multiple variables, and use function scopes in Python.
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