Description
This program is designed for non-technical professionals; no coding experience is required.
You’ll explore the foundations of data analytics, statistics, artificial intelligence, and data-informed decision-making in a business context. The content is suitable for participants with no previous background in analytics.
Across industries, organizations rely on data to guide strategic and operational choices. As a result, professionals in marketing, operations, finance, HR, and other areas are increasingly expected to read, interpret, and clearly present data. In 2024, analytics ranks among the most in-demand capabilities for employers and recruiters worldwide.
This course provides a broad introduction to business and marketing analytics as well as data science concepts. You’ll examine topics such as data mining, predictive modeling, business intelligence, and machine learning. Along the way, you’ll see how these approaches are used to support real business decisions.
You’ll also work with key techniques and tools for making data understandable, including statistical analysis, data visualization, and data storytelling. These skills will help you translate complex information into clear insights for colleagues and stakeholders.
The emphasis is on becoming an informed consumer of analytics rather than a hands-on data specialist. You’ll learn what different analytical methods can and cannot do, how to ask the right questions, and how to evaluate the results you’re given. If you want a practical, business-oriented overview of analytics and its potential, this course is a strong fit.
The learning experience totals approximately 5 hours and includes quizzes, practical assignments, and a final assessment. Successfully passing the final test is required to earn your certificate of completion.
