Data, AI, and Cloud Courses

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

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

Use survival analysis to work with time-to-event data and predict survival time.

Step into the role of CFO and learn how to advise a board of directors on key metrics while building a financial forecast.

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

Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.

Learn Databricks SQL for data engineering, analytics, and real-time data workflows in the lakehouse architecture.

Learn to set up a secure, efficient book recommendation app in Azure in this hands-on case study.

Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.

Learn how to access financial data from local files as well as from internet sources.

Explore a range of programming paradigms, including imperative and declarative, procedural, functional, and object-oriented programming.

Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.

Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.

Learn how to reduce training times for large language models with Accelerator and Trainer for distributed training

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

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

Master travel planning with WanderBot: craft prompts, build confidence, and streamline your next adventure.

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

Learn to build pipelines that stand the test of time.

Learn efficient techniques in pandas to optimize your Python code.

Learn Excel data validation to improve accuracy, create drop-downs, and manage inventory and orders with confidence.

This course is for R users who want to get up to speed with Python!

Apply financial analysis in KNIME with real-world data, enhancing data preparation and workflow skills.

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

Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.

Dive into our Tableau case study on supply chain analytics. Tackle shipment, inventory management, and dashboard creation to drive business improvements.

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

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

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

Learn to process sensitive information with privacy-preserving techniques.