Welcome to the Treehouse Library
This is a sample catalog of all the courses we offer. Browse by topic or difficulty. Sign up today and get access to our entire library. Treehouse students get access to workshops, bonus content, conferences, and more.
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13 minWorkshop
ChatGPT: Code Interpreter
Discover the capabilities of ChatGPT's "Code Interpreter" model in our AI workshop. It's a secure, sandboxed Python interpreter that revolutionizes Python code testing, debugging, data analysis, and visualization. Ideal for developers, data analysts, and AI enthusiasts eager to enhance their Python programming skills and data interpretation proficiency.
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Intro to Seaborn
The Seaborn module is a Python visualization library based on Matplotlib. It provides a higher-level, more convenient way to create common statistical plots and is well-suited for labeling and presenting statistical graphics. This course will help you get started with Seaborn by walking through the structure of its library, showing how to create key charts in Seaborn, and comparing the results with equivalent plots created with Matplotlib.
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42 minWorkshop
Data Visualization with Google Sheets
Did you know that Google Sheets is a great tool to tell stories with your data? This workshop will guide you through five different ways to visualize your data with Google Sheets and ultimately improve the story you're trying to tell to stakeholders!
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24 minPractice
Practice Data Visualization
Students will practice converting raw data into an informative visualization.
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Data Visualization Foundations
What is data visualization? A simple answer might be something like the graphic representation of data. But to get a better understanding of what practitioners of data visualization do, let’s start with the term data. By data, I mean raw, unorganized facts and numbers. Practitioners of data visualization take raw, hard-to-grasp data and turn that data into information by providing context and a purpose.
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Introduction to Data Visualization with Matplotlib
Get started creating charts with the Python library, matplotlib, an industry-standard data visualization library. Matplotlib provides a way to easily generate a wide variety of plots and charts in a few lines of Python code. It is an open-source project that can be integrated into Python scripts, jupyter notebooks, web application servers, and multiple GUI toolkits. Whether you are exploring sample data available on the internet, or your own business data, learning matplotlib is a great place to start your data visualization journey.
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Data Analysis Basics
Learn how to make better decisions with data in this course on data analysis. We'll start by looking at what data analysis is, and then we'll see how we can use data analysis to create better outcomes.
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Data Visualization with Bokeh
Learn how to use the Bokeh library to generate interactive charts, graphs, and other visualizations using Python. We'll explore a world population data set and see how to generate different charts using this powerful library.
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Data Visualization with Excel
This overview of Data Visualization in Excel is designed for absolute beginners, but can also benefit people who have already been using Excel to create charts. You will learn about the fundamentals of data visualization, how create types of charts in Excel, and tips on how to get the most of the charts you make.
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