Data, AI, and Cloud Courses

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

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 the basics of cash flow valuation, work with human mortality data and build life insurance products in R.

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

Learn key financial concepts such as capital investment, WACC, and shareholder value.

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

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

Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.

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

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

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

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

Develop a better intuition for advanced probability, risk assessment, and simulation techniques to make data-driven business decisions with confidence.

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

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.

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

Take your Julia skills to the next level with our intermediate Julia course. Learn about loops, advanced data structures, timing, and more.

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

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

Learn how to analyze business processes in R and extract actionable insights from enormous sets of event data.

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

Learn the fundamentals of using DataLab, an AI-powered data notebook for data analysis and exploration.

Combine text, images, audio, and video with the latest AI models from Hugging Face, and generate new images and videos!

Learn how to perform advanced dplyr transformations and incorporate dplyr and ggplot2 code in functions.

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

Learn business valuation with real-world applications and case studies using discounted cash flows (DCF).

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

Advance your Alteryx skills with real fitness data to develop targeted marketing strategies and innovative products!

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