Data, AI, and Cloud Courses

Learn how to visualize time series in R, then practice with a stock-picking case study.

Learn the principles of feature engineering for machine learning models and how to implement them using the R tidymodels framework.

In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, youll investigate data from an online pet supply company.

Learn how to create and assess measurement models used to confirm the structure of a scale or questionnaire.

Learn how to use plotly in R to create interactive data visualizations to enhance your data storytelling.

Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.

Learn how to prepare and organize your data for predictive analytics.

GAMs model relationships in data as nonlinear functions that are highly adaptable to different types of data science problems.

Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.

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

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

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

Learn the fundamentals of valuing stocks.

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

You will use Net Revenue Management techniques in Google Sheets for a Fast Moving Consumer Goods company.

Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.

Gain an overview of all the skills and tools needed to excel in Natural Language Processing in R.

Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.

Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.

Practice your Shiny skills while building some fun Shiny apps for real-life scenarios!

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

Learn how to predict click-through rates on ads and implement basic machine learning models in Python so that you can see how to better optimize your ads.

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

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

Learn how to build an amortization dashboard in Google Sheets with financial and conditional formulas.

Learn to analyze, plot, and model multivariate data.

This course will introduce the support vector machine (SVM) using an intuitive, visual approach.

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

Explore HR data analysis in Tableau with this case study.

Learn sentiment analysis by identifying positive and negative language, specific emotional intent and making compelling visualizations.