Data, AI, and Cloud Courses

In this course, youll learn how to implement more advanced Bayesian models using RJAGS.

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

Create a go-to-market strategy with generative AI: target industries, generate leads, and optimize website keywords.

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

Learn to detect fraud with analytics in R.

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

Learn defensive programming in R to make your code more robust.

Learn how to predict click-through rates on ads and implement basic machine learning models in Python so that you can see how to better optimize your ads.

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

Learn strategies for answering probability questions in R by solving a variety of probability puzzles.

Master the essential skills of data manipulation in Julia. Learn how to inspect, transform, group, and visualize DataFrames using real-world datasets.

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

Learn how computers work, design efficient algorithms, and explore computational theory to solve real-world problems.

Predict employee turnover and design retention strategies.

Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.

Use C++ to dramatically boost the performance of your R code.

Learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algorithms.

Learn data management in Databricks with Delta Lake, including ACID transactions, schema enforcement, and security.

Learn to predict labels of nodes in networks using network learning and by extracting descriptive features from the network

Test a chatbot that matches customers with ideal skincare products using your prompting skills for personalized results.

Continue learning with purrr to create robust, clean, and easy to maintain iterative code.

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

Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.

Analyze market dynamics and craft a strategic entry plan for an EV manufacturer using generative AI.

Automate data manipulation with KNIME, mastering merging, aggregation, database workflows, and advanced file handling.

Learn to create compelling data visualizations with KNIME, covering charts, components, and dashboards.

Ensure high data quality in data science and data engineering workflows with Pythons Great Expectations library.

Use a chatbot to create a study guide tailored to your goals and schedule. Build skills with simple, effective prompts.

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

Interact with a customized GPT and use your prompting skills to plan and open your restaurant.