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Data Science

Work your way through an entire data science project with the help of a screencast, so you never get stuck.

Optimizing GPT Prompts for Data Science

This training will aid you in optimizing your personal usage of ChatGPT and when developing powered GPT applications.

Andrea Valenzuela

2 de agosto de 2023

Using ChatGPT Code Interpreter for Data Science

In this live training, we use ChatGPT Code Interpreter to perform a data analysis workflow on an Airbnb dataset.

Adel Nehme

24 de julho de 2023

Introduction to Experiment Tracking

This webinar shows you how to get started with experiment tracking, a pivotal yet frequently overlooked aspect of the data science lifecycle.

Jinen Setpal

19 de julho de 2023

Analyzing Credit Scores with tidymodels in R

In this live training, you'll find out how to motivate the benefits of dimensionality reduction while exploring predictors of credit scores.

Matt Pickard

10 de maio de 2023

Analyzing Categorical Data from the General Social Survey in Python

Justin Saddlemyer

27 de abril de 2023

Cleaning Data in Python

In this live training, we will work on cleaning a dataset of audiobooks from audible.in

Rogelio Montemayor

24 de abril de 2023

Feature Engineering for Predicting Hotel Bookings with tidymodels

Learn how to manually engineer features, build and assess a machine learning workflow.

Jorge Zazueta

18 de abril de 2023

Exploratory Data Analysis in Julia for Absolute Beginners

Get started with Data Analysis in Julia - Hosted by Richie Cotton

Richie Cotton

15 de março de 2023

Language Pattern Analysis in Python

In this session we use text analysis to look at language patterns in a review dataset.

Richie Cotton

Maham Khan

13 de março de 2023

Time Series Analysis in Python

Dig into financial time series in Python.

Justin Saddlemyer

22 de fevereiro de 2023

A/B Testing in R

Compare the performance of two groups with this introduction to A/B testing in R

Arne Warnke

15 de fevereiro de 2023

Superbowl Analysis in Python

Learn to do exploratory data analysis in Python on historic Super Bowl data.

Eric Eager

Richard Erickson

9 de fevereiro de 2023