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 90 minute 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:

- How code works 

- Coding language in Ai - Popular coding languages 

- Components of a computer language - Data types 

- Data structures and arrays 

- Code control flow 

- Programming libraries 

- Becoming a coding expert: getting started 

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

Instructor's Bio

Sheamus McGovern

Software Engineer & AI Expert

Founder of ODSC and Software Architect specializing in, complex multi-platform systems across multiple industries including finance, healthcare, and education.

Use discount code WEBINAR2021 to get your Virtual ODSC East 2021 pass with an additional 20% OFF


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    Bootcamp Warm-up Tutorial: Coding Literacy for Careers in AI

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