Introduction to Analytics and Artificial Intelligence

The richest data store is only as good as your ability to search, sort, analyze, and present the data within it. This introduction to analytics and artificial intelligence (AI) course will give students a broad overview of the theory and practice of data analytics and the many ways in which AI contributes to it.

Your instructor will begin with a brief history of data analytics and then proceed into discussions of data warehouses, data mining, business intelligence, machine learning, and other emerging AI techniques to make sense of big data.

Students will learn how data is captured, cleansed, analyzed, and presented on business intelligence dashboards that captivate and persuade an audience. “It is a capital mistake to theorize before one has data,” Sherlock Holmes once said.

Whether you are investigating analytics as a potential career move or wish to better understand the terminology you encounter with increasing frequency in your professional circles, this course will give you the foundation you are looking for.

This program includes 3 hours of instruction and a practice-based assessment, which will help students simulate real-world data analytics scenarios that are critical for success in today’s increasingly complex workplace.

Students will gain:

• A brief overview of the history of analyzing data, from medieval statistics to the sophisticated techniques developed by the likes of Google and Microsoft.
• A look at data stores, which are growing exponentially, and the challenges of wrangling “big data.”
• Understanding of data mining—what it entails, different approaches, and who’s leading the way.
• A two-part discussion of business intelligence, including the principles of sound dashboard design and data presentation.
• The key differences between the four types of analytics—diagnostic, descriptive, predictive, and prescriptive—and how they relate to and build upon each other and how they apply to various industries.
• An overview of specific analytics processes and models.
• A first look at AI, its evolution, its functions, and what it can do for businesses today.
• An exploration of machine learning—how systems can learn from data, identify patterns, and make decisions with little human intervention.
• A survey of deep learning technologies, including a variety of neural networks.
• An overview of the most important machine learning data modeling techniques
• A practical and honest appraisal of the analytics and AI landscape today and moving forward, including the tremendous promise and the potential pitfalls.
• Resources for continued study on these topics.

WHAT YOU GET

Certificate of Completion

• Earn a certificate each time you complete a course.
• Showcase your commitment to continuous growth and professional development.
• Impress potential employers.
• Enhance your professional profile.
• Available in PDF format to Download or Print.

INSTRUCTOR

Andrew Pearson

Introducing the extraordinary Andrew Pearson, a dynamic force propelling AI, analytics, and business intelligence to new heights. Andrew leads the charge in implementing cutting-edge solutions across the gaming, casino, finance, hospitality, sports betting, and retail industries. Renowned as an influential author, Andrew has penned several acclaimed books on analytics and AI. His expertise extends to the realm of journalism, where he serves as a noted columnist for esteemed peer-reviewed publications, including The Journal of Mobile and Social Media Marketing, The Journal of AI, Robotics & Workplace Automation, The Journal of Applied Marketing Analytics, ComputerWorld HK, and The Mobile Marketer. Andrew's editorial board membership and VP role in the Grow-uP eSports Association also showcase his commitment to industry advancements. With Andrew as your guide, prepare to embark on an exhilarating journey through the transformative landscapes of AI, analytics, and beyond.