Data Skills for Business

Yes, the course is suitable for beginners as it provides an introduction to core data concepts and tools, and provides the foundational knowledge to work with data and become a more confident data-driven decision-maker within your organization.

Theory. This track will help you sharpen your data skills and identify when data can be used to solve business challenges. You'll learn indispensable data terminology, tools, and questions that can help you better communicate with your team.

This track can help those in a variety of different roles such as data analysts, data scientists, and business decision-makers benefit from this track. In addition to helping current data professionals, the course can help individuals who are transitioning to data roles or seeking more data-driven decision making capabilities.

By the end of this track, you will be a more informed, critical, and data-driven decision-maker. The track will help you build an understanding of core data concepts and tools, and teach you essential data terminology. This will help you better communicate with your team to provide more data-driven solutions to real-world business problems.

This Track usually takes 16 hours to complete as it consists of several courses that significantly upskill users. However, the courses are self-paced, so users can spend as long or as little time as they like working through exercises and courses.

A skill track is focused on learning just the specific skills needed to perform a job. A career track provides an in-depth overview of a job field and teaches additional courses to help you reach the next level in that field.

This Track covers core data concepts, applying data to answer real-world questions, an introduction to statistics in spreadsheets, understanding Python, machine learning, and AI to help you better lead your team.

In this Track, you'll learn how to use spreadsheets, Python, machine learning, and AI to answer business questions and better inform your decisions. You'll also gain an understanding of essential data terminology, and be familiar with tools that can help you communicate more effectively with your team.