Data Science Tutorials

In this tutorial, you'll learn how to work with the OpenAI Python package to programmatically have conversations with ChatGPT.

Learn about Excel's various data visualization options that can help you analyze and interpret your data.

LangChain is a framework for including AI from large language models inside data pipelines and applications. This tutorial provides an overview of what you can do with LangChain, including the problems that LangChain solves and examples of data use cases.

Discover the powerful capabilities of OpenAI Whisper Python API for transcription and translation. It comes with multi-language support and prompt enhancement for accurate transcription.

This tutorial explores how to create and customize time series line plots in matplotlib.

Learn how to perform t-tests in Python with this tutorial. Understand the different types of t-tests - one-sample test, two-sample test, paired t-test, and Welch’s test, and when to use them.

This hands-on tutorial dives deep into creating and customizing line plots with Matplotlib, a powerful data visualization library in Python.

Learn how to create highly interactive and visually appealing charts with Python Plotly Express.

Learn how to use ChatGPT in a real-life end-to-end data science project. We will use it for project planning, data analysis, data preprocessing, model selection, hyperparameter tuning, developing a web app, and deploying it on the Spaces.

Discover how to use Seaborn, a popular Python data visualization library, to create and customize line plots in Python.

Determine if there is a significant difference between the means of the two groups using t.test() in R.

Learn about IF and CASE statements in Tableau and explore how to use these logical functions to conditionally transform and visualize data.