Data Science Tutorials

Generating synthetic data using Python Faker to supplement real-world data for application testing and data privacy.

Learn the basics of the 25 most popular SQL commands and how to use them.

Use LIKE to filter SQL records on specific string matches. This tutorial teaches you to use wildcards, NOT, LOWER, UPPER, and CASE WHEN with LIKE.

If you are looking to get started with SQL, we’ve got you covered. In this SQL tutorial, we will introduce you to SQL queries - a powerful tool that enables us to work with the data stored in a database.

Explore what Pytest is and what it's used for while comparing it to other software testing methods.

Discover everything you need to know about Kubeflow and explore how to build and deploy Machine Learning Pipelines

Learn advanced Python scripting in Tableau by deploying the Facebook Prophet forecasting model to the Tableau server and creating dynamic time series visualization.

Learn about the basics of PyTorch, while taking a look at a detailed background on how neural networks work. Get started with PyTorch today.

Learn the importance of TabPy and how to create a K Means clustering model using Python script in Tableau. 

Discover what the Python enumerate function is and how you can use it in your day-to-day data science tasks.

Learn various commands and tools for merging two branches and resolving conflicts in Git, an essential skill for data scientists.

A beginner's tutorial demonstrating how Git version control works and why it is crucial for data science projects.