Data Science Tutorials

Learn about the essential Python tools for software development, web scraping and development, data analysis and visualization, and machine learning.

A hands-on PySpark tutorial: install PySpark, explore data with DataFrames, and build a K-Means clustering model for customer segmentation.

Understand all the ins and outs of how to create Power BI heatmaps and their applications

Discover what magic methods is while looking at the difference between methods and functions.

Understand Transformers and harness their power to solve real-life problems.

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

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.

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

A comprehensive overview of data blending using Tableau for Data Scientists and Data Analysts.

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.

Learn everything about Graph Neural Networks, including what GNNs are, the different types of graph neural networks, and what they're used for. Plus, learn how to build a Graph Neural Network with Pytorch.

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