Data, AI, and Cloud Courses

Learn to streamline your machine learning workflows with tidymodels.

Learn how to efficiently collect and download data from any website using R.

Learn about how dates work in R, and explore the world of if statements, loops, and functions using financial examples.

Learn how to develop deep learning models with Keras.

Explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations.

Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.

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

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

Prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.

Build a customer-support assistant step-by-step with Google’s Agent Development Kit (ADK).

Learn about GARCH Models, how to implement them and calibrate them on financial data from stocks to foreign exchange.

Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.

Learn how to use Python to analyze customer churn and build a model to predict it.

Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.

In this course, you’ll learn to classify, treat and analyze time series; an absolute must, if you’re serious about stepping up as an analytics professional.

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

Learn how to design and implement triggers in SQL Server using real-world examples.

Learn to create interactive dashboards with R using the powerful shinydashboard package. Create dynamic and engaging visualizations for your audience.

Sharpen your knowledge and prepare for your next interview by practicing Python machine learning interview questions.

Learn how to use RNNs to classify text sentiment, generate sentences, and translate text between languages.

Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.

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

Use your knowledge of common spreadsheet functions and techniques to explore Python!

Learn how to set up and manage your Microsoft Fabric infrastructure.

Enhance your KNIME skills with our course on data transformation, column operations, and workflow optimization.

Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.

Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!

In this course youll learn how to perform inference using linear models.

Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.

Learn to solve increasingly complex problems using simulations to generate and analyze data.