Columns

Columns

Customize your data pipeline by applying unique transformations to each column effortlessly.

Intro to linear regression

Intro to linear regression

Python’s sklearn library empowers you to perform linear regression with precision. Dive into the make_regression() function and gain full control over your dataset’s characteristics.

Descriptive, prescriptive, or predictive?

Descriptive, prescriptive, or predictive?

Choosing the right analytics approach is key. Descriptive analytics reviews past data, Predictive analytics forecasts the future, and Prescriptive analytics guides your organization on what actions to take.

Data Security

Data Security

Data security is paramount in the era of remote work. Discover why downloading data to spreadsheets poses risks such as loss of control, file exploitation, and increased exposure of sensitive information.

DSUM of all things

DSUM of all things

Excel’s database functions provide a user-friendly way to manipulate data. Explore DCOUNT, DMAX, DMIN, and DSUM to efficiently parse and analyze information from your lists.

Method or Function?

Method or Function?

In Python, methods and functions may seem similar, but they serve distinct purposes. Explore how methods interact with objects within classes, while functions are standalone blocks of code, and make informed coding decisions.

Style with Conditional Formatting

Style with Conditional Formatting

Want to make your data stand out? Dive into the world of DataFrame styling in Python. Learn how to use styling functions to transform your DataFrames into visually appealing presentations.

How to add Table of Contents

How to add Table of Contents

Tired of navigating lengthy Markdown documents? Learn how to enhance document organization by adding a Table of Contents with internal section-links. Discover the markdown_toclify.py script, your key to streamlined Markdown content management