Data, AI, and Cloud Courses

Learn how to use GitHubs various features, navigate the interface and perform everyday collaborative tasks.

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

Data Analysis Expressions (DAX) allow you to take your Power BI skills to the next level by writing custom functions.

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.

Bring your Google Sheets to life by mastering fundamental skills such as formulas, operations, and cell references.

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

In this course, youll learn how to use tree-based models and ensembles for regression and classification using scikit-learn.

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis with statsmodels in Python.

Explore Excel Power Query for advanced data transformation and cleansing to boost your decision-making and analysis.

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

Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in Python.

Navigate and use the extensive repository of models and datasets available on the Hugging Face Hub.

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

Learn to build effective, performant, and reliable data pipelines using Extract, Transform, and Load principles.

Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!

Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.

Learn how to implement and schedule data engineering workflows.

Master data modeling in Power BI.

Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.

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

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

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

Dive into the exciting world of APIs as we introduce you to the basics of consuming and working with Web APIs using Python.

Snowflake is a top data warehousing platform. Learn how they use Snowsight, a user-friendly SQL interface for accessing and exploring data.

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

Discover a wide range of DAX calculations and learn how to use them in Microsoft Power BI.

Elevate your data storytelling skills and discover how to tell great stories that drive change with your audience.

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

Apply your skills to import, analyze and visualize Human Resources (HR) data using Power BI.

Learn how to build impactful reports with Power BI’s Exploratory Data Analysis (EDA) that uncover insights faster and drive business value.