Data, AI, and Cloud Courses

Learn to use the Bioconductor package limma for differential gene expression analysis.

This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.

Learn to easily summarize and manipulate lists using the purrr package.

In this course youll learn how to use data science for several common marketing tasks.

Learn to use Amazon Bedrock to access foundation AI models and build with AI - without managing complex infrastructure.

Learn how bonds work and how to price them and assess some of their risks using the numpy and numpy-financial packages.

Learn how to use PostgreSQL to handle time series analysis effectively and apply these techniques to real-world data.

Are you curious about the inner workings of the models that are behind products like Google Translate?

Learn how to use conditional formatting with your data through built-in options and by creating custom formulas.

Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.

Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.

Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.

Learn how to create interactive data visualizations, including building and connecting widgets using Bokeh!

Learn how to efficiently transform, clean, and analyze data using Polars, a Python library for fast data manipulation.

Learn how to identify important drivers of demand, look at seasonal effects, and predict demand for a hierarchy of products from a real world example.

Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.

In this course youll learn how to apply machine learning in the HR domain.

Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.

Learn to create animated graphics and linked views entirely in R with plotly.

Ensure data consistency by learning how to use transactions and handle errors in concurrent environments.

In this course, youll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.

Apply fundamental concepts in network analysis to large real-world datasets in 4 different case studies.

Learn how to leverage Bayesian estimation methods to make better inferences about linear regression models.

In this course youll learn how to create static and interactive dashboards using flexdashboard and shiny.

Learn strategies for answering probability questions in R by solving a variety of probability puzzles.

Elevate your analysis with this hands-on course using SQL with DataLab workbooks.

Unlock your datas potential by learning to detect and mitigate bias for precise analysis and reliable models.

Learn to predict labels of nodes in networks using network learning and by extracting descriptive features from the network

Learn to analyze and model customer choice data in R.

Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools.