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Courses/Information Technology/Artificial Intelligence

Introduction to Analytics and Artificial Intelligence

Kickstart your data science know-how with an introduction to analytics and AI, business intelligence, machine learning, and deep learning

Created bySimon Sez ITworkspace_premium
4.4
(28 reviews)
BeginnerUpdated Jan 21, 2025
Introduction to Analytics and Artificial Intelligence

What You'll Learn

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

About This Course

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

Your Instructor

Simon Sez IT
Simon Sez IT

Since 2008, we've taught 2 million learners in over 190 countries, with 200+ courses

menu_book147 courses
star8,850 reviews

Since its formation in 2008, Simon Sez IT has been educating learners with one goal in mind: to make business and technical software simple to learn. The company extensive library of over 10,000 videos across more than 200 courses delivers comprehensive training for the most popular software applications used by professionals worldwide. Courses include training in everyday IT applications, from Microsoft suite of office productivity tools to more niche applications such as QuickBooks, Power BI and many more. Aimed at every level of proficiency, Simon Sez IT courses are designed to give learners the ability to quickly evolve from beginner to advanced, or to drop in at their relevant level and acquire new skills to continue in their development path. Simon Sez IT subject matter experts bring knowledge and practical insights to video-based courses and practice exercises – all designed to help learners immediately apply new knowledge and master learning goals. More than two million learners have relied on Simon Sez IT for its quality and engaging coursework. Student feedback is consistently ranked among the best in the industry, with particular emphasis on the quality, detail and delivery of the course materials. Many indicate that upon completion of a course, they are more confident and proficient in their area of study, and their skills have helped them progress in their careers.

Credit Information

Do these courses count toward my professional development requirements?

This portal is provided as a training and development resource for City of Markham employees. Every course is delivered by a qualified subject matter expert or learning organization, is quantifiable in hours, and is verifiable — you receive a documented certificate of completion for every course you finish, stored on LearnFormula indefinitely.

If you hold a professional designation (for example in engineering, accounting, human resources, or law), courses may be counted as professionally relevant, verifiable learning activities toward your continuing professional development. Individual practitioners are responsible for confirming that an activity meets the requirements of their professional body. For questions about the City of Markham's training and development policies, please speak with your people leader or Human Resources.

What Students Are Saying

4.4
Student's Choice
28 reviews

Frequently Asked Questions

We are a registered provider with 327+ associations and regulatory bodies worldwide. We operate across 29 global markets including Canada, the US, Australia, and the UK. Every course page clearly displays its specific accreditations. Upon completion, you receive a professional certificate that can be validated online. Our certificates include all necessary accreditation details, credit hours, and completion dates, and are formatted specifically to meet the submission requirements of most global regulatory bodies.