Ai+ Training

     As AI becomes more prevalent in the industry, it's creating new job opportunities and replacing traditional ones. Data scientist, AI Engineer, Data Engineer, and Machine Learning Engineer are just a few of the new roles. However, those in more traditional jobs, such as data analysts, business analysts, developers, engineers, product development roles, HR, and more are beginning to see AI used more frequently in their job roles. Whether you are looking to upskill or reskill in AI, this first session in a three-part series is a must-attend.

In this tutorial, you will discover how to use data to take advantage of trends. 

     You will learn how data experts predict and forecast possible outcomes, find hidden patterns, and identify opportunities for new products and services. Topics include:

- Data Sources

- Data Types    

- Structured Data

- Analyzing Data

- How to Argue with Data

- Predictive Analytics            

- Data Fluency: From A/B Testing to What-if-Analysis

- Becoming a Data Expert: Getting Started

- Data Life Cycle

- Transforming Data

- Unstructured Data

- The Data Journey

- Descriptive Analytics

      We will wrap up the tutorial with a deep dive into our Data Literacy Glossary so you can understand the key terminology when communicating with data experts.

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