Data Science Tutorials

Discover how Devin can assist in your coding tasks. In this first tutorial, we’ll get started on an existing repo and explore the features available in the Devin environment.

Word clouds are one of the essential visualizations in text analysis. Learn how to create and customize them in Tableau, in simple and easy steps.

Learn how to use the Excel COUNTBLANK() function to quickly identify and count empty cells in your data.

Discover how Delta Tables unify batch and streaming data, boost performance, and simplify analytics in Databricks' lakehouse architecture.

Learn how to use Excel’s COUNT() formula with essential tips, real-world examples, and variations like COUNTA(), COUNTBLANK(), and COUNTIF() to handle different data types and scenarios.

Learn what Pydantic is, what it’s used for, and how it compares to alternatives like Marshmallow or Python’s dataclasses.

Learn when to use Poisson regression, how to interpret results through incidence rate ratios, and implement essential techniques in R.

Learn how to identify relationships between variables using correlation. Discover the different types of correlation coefficients and their applications.

Discover how covariance reveals relationships between variables. Learn how to calculate and interpret it across statistics, finance, and machine learning.

Learn how to use the Python len() function to quickly find the size of strings, lists, dictionaries, and other data structures. Discover practical examples and common mistakes to avoid when working with len() in your own code.

Learn how to measure variability in your data using the R sd() function. Discover practical examples and essential techniques for handling missing values and grouped data.

Learn how collections are created in MongoDB, when to define them explicitly, and key configuration options.