Data, AI, and Cloud Courses

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

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.

In this course youll learn techniques for performing statistical inference on numerical data.

Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data.

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

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

Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.

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

Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.

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

Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.

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

Learn to analyze, plot, and model multivariate data.

Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.

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

Learn to analyze Airbnb data using SQL in Databricks, create dashboards, and derive actionable insights.

Manipulate text data, analyze it and more by mastering regular expressions and string distances in R.

Learn about experimental design, and how to explore your data to ask and answer meaningful questions.

Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.

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

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

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

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

Learn to process sensitive information with privacy-preserving techniques.

Learn how to visualize big data in R using ggplot2 and trelliscopejs.

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

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

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.