Learn how to use Transact-SQL to create tables, views, and temporary objects for your databases.

R is a widely used programming language for statistical computing and graphics. This course will teach you the fundamentals of understanding, using and creating your very own custom functions within R.

R is a popular programming language within the growing statistical community. This course will teach you to write an R script, run that script independently, display processed data, and understand what frameworks R provides to troubleshoot issues.

Power BI Dashboards provide users with an effective way to visualize, organize, and consume data that is most important to them. This course will teach you how to build dashboard solutions that deliver user-actionable insights.

This course will teach you how Power BI Dashboards can really enhance your reporting solutions, covering everything from planning and design, through to securing data, and content distribution. All with a focus on building great end-user experiences.

Data stories are a way to cohesively bring together insights and data that you’ve collected together in your Qlik Sense app. Using Data Stories, you can stitch data points into a compelling narrative to present to an audience. This is an essential tool for Qlik Sense users looking to present their data discoveries to decision makers and top management.

This course covers the important types of machine learning algorithms, solution techniques based on the specifics of the problem you are trying to solve, as well as the classic machine learning workflow.

Building a data-driven story is one of the core requirements for effective business decision-making. This course will teach you how to design and configure comprehensive reporting solutions with Microsoft Power BI.

Want to impress your executive management and coworkers with fast, modern, interactive dashboards that help communicate your analysis? In this course you will learn the fundamental skills for creating an app in Qlik Sense.

This course will teach you how to create a Sisense ElastiCube data model dashboard with various widgets that is shareable with users in Sisense.

Build a credit card fraud detection model using Scikit-Learn and Snap ML. Learn to preprocess transaction data, apply classification algorithms, and evaluate model performance to prevent fraudulent activities in the financial sector.

Critical and Analytical Thinking Skills in Data Literacy” highlights the essential ability to approach data with a discerning mindset. This skill involves evaluating information for accuracy, relevance, and patterns, enabling individuals to draw meaningful insights.