Data, AI, and Cloud Courses

Learn how to tune your models hyperparameters to get the best predictive results.

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.

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

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

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

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

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

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

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

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

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

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

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

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.

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

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.

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

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.

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

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

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

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

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

Create multi-modal systems using OpenAIs text and audio models, including an end-to-end customer support chatbot!

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

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

Learn to analyze and model customer choice data in R.