Introduction to Data Analytics and AI

About Introduction to Data Analytics and AI

This is a non-technical program; no coding background is required.

This course introduces

big data analytics, statistics, artificial intelligence, and data-driven decision-making

for all business professionals, including those without prior analytics knowledge.

Analytical skills are essential in any business

. There is a growing need for employees across all areas to know how to read, interpret, and present data in a way that can be understood across all functions and inform decision-making. Analytics is listed in 2024 as one of the top 10 skills requested by employers and recruiters. Almost every company in the world uses data to make better decisions. This comprehensive course offers a detailed overview of business and marketing analytics and data science. The course materials cover various topics, including data mining, predictive modeling, business intelligence, and machine learning. By studying these topics, you will gain an in-depth understanding of how data can inform business decisions. Additionally, you will learn about tools and techniques such as statistical analysis, data visualization, and data storytelling to effectively communicate insights to stakeholders. By the end of the course, you will have the skills and knowledge needed to make data-driven decisions that can drive business growth and success. It introduces the

different analytics methodologies

and how they are used. It is not intended to prepare learners to perform analytics themselves but to help them understand what analytics can do. If you are curious about the different analytics techniques and the possibilities they offer, this course is for you. The course lasts around 4 hours and includes

quizzes, assignments, and a final test

you must pass to get the certificate.