Data, AI, and Cloud Courses

Explore the basics of data quality management. Learn the key concepts, dimensions, and techniques for monitoring and improving data quality.

Enter the world of Alteryx Designer and learn how to navigate the tool to load, prepare, and aggregate data.

You will investigate a dataset from a fictitious company called Databel in Excel, and need to figure out why customers are churning.

Learn to use SQL Server to perform common data manipulation tasks and master common data manipulation tasks using this database system.

Learn to use best practices to write maintainable, reusable, complex functions with good documentation.

Learn cutting-edge methods for integrating external data with LLMs using Retrieval Augmented Generation (RAG) with LangChain.

Learn about fundamental deep learning architectures such as CNNs, RNNs, LSTMs, and GRUs for modeling image and sequential data.

Take your Tableau skills up a notch with advanced analytics and visualizations.

Learn about LLMOps from ideation to deployment, gain insights into the lifecycle and challenges, and learn how to apply these concepts to your applications.

Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.

Explore data ethics with this comprehensive introductory course, covering principles, AI ethics, and practical skills to ensure responsible data use.

Learn how to analyze a SQL table and report insights to management.

Master strategic data management for business excellence.

Discover the fundamental concepts of object-oriented programming (OOP), building custom classes and objects!

Explore what AI is and how to use it responsibly for smarter, more productive work!

Unlock more advanced AI applications, like semantic search and recommendation engines, using OpenAIs embedding model!

Learn fundamental natural language processing techniques using Python and how to apply them to extract insights from real-world text data.

Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.

Learn about Excel financial modeling, including cash flow, scenario analysis, time value, and capital budgeting.

Dive in and learn how to create classes and leverage inheritance and polymorphism to reuse and optimize code.

Use generative AI to tackle data cleaning, fixing duplicates, nulls, and formatting for consistent, accurate datasets.

In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.

In this course, you will learn the fundamentals of Kubernetes and deploy and orchestrate containers using Manifests and kubectl instructions.

Dashboards are a must-have in a data-driven world. Increase your impact on business performance with Tableau dashboards.

Learn how to clean and prepare your data for machine learning!

Learn how to work with dates and times in Python.

Learn the essentials of VMs, containers, Docker, and Kubernetes. Understand the differences to get started!

Boost your Excel skills with advanced referencing, lookup, and database functions using practical exercises.

Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

Gain an introduction to data governance, exploring its meaning, purpose, and how to implement a data governance framework.