Data Science Tutorials

Learn how DataCamp Workspace optimizes the experience of working with Jupyter notebooks and SQL. Discover how to effortlessly write SQL queries, connect to databases, analyze CSV files, and leverage the power of AI assistance

Unleash the power of SQL within pandas and learn when and how to use SQL queries in pandas using the pandasql library for seamless integration.

Unleash the full potential of GPT-3 through fine-tuning. Learn how to use the OpenAI API and Python to improve this advanced neural network model for your specific use case.

Dive into Explainable AI (XAI) and learn how to build trust in AI systems with LIME and SHAP for model interpretability. Understand the importance of transparency and fairness in AI-driven decisions.

Explore how AI agents Auto-GPT, AgentGPT & BabyAGI are revolutionizing autonomous AI systems. Learn about their applications, limitations & more.

Discover how to use ChatGPT for marketing, including some example prompts to get you started.

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.