SAP Analytics Cloud – Become an Augmented BI Expert (openSAP)

Offered by SAP,
SAP Analytics Cloud – Become an Augmented BI Expert (openSAP)

Join this free online course to learn about SAP Analytics Cloud, with a focus on augmented business intelligence (BI) topics such as data modeling, story creation and analysis, augmented analytics, and analytic applications, and become an augmented BI expert.

SAP Analytics Cloud is a software-as-a-service (SaaS) offering that combines business intelligence, enterprise planning, and augmented analytics. This course focuses explicitly on augmented business intelligence topics such as modeling, story creation and analysis, augmented analytics, and analytic applications.

By the end of the course, you'll be able to:

  • Build data models based on imported or live data
  • Design advanced dashboards with charts, tables, and other design elements
  • Apply best practices around features, design, and performance
  • Understand advanced concepts such as data blending and augmented analytics
  • Build forecasting, regression, and classification predictive scenarios
  • Create advanced analytic applications with scripting, custom widgets, and other powerful features

You'll have the chance to get hands-on experience with the optional SAP Analytics Cloud account offered with this course. Instructions on gaining access to an account will be provided at the start of the course.

Course Content

Week 1: Data Modeling
Week 2: Story Creation
Week 3: Story Creation and Analysis
Week 4: Augmented Analytics
Week 5: Analytic Applications
Week 6: Final Exam

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Code Free Data Science (Coursera) Coursera
University of California, San Diego

Code Free Data Science (Coursera)

The Code Free Data Science class is designed for learners seeking to gain or expand their knowledge in the area of Data Science. Participants will receive the basic training in effective predictive analytic approaches accompanying the growing discipline of Data Science without any programming requirements. Machine Learning methods will be presented by utilizing the KNIME Analytics Platform to discover patterns and relationships in data.

Sep 28th 2026
4 Weeks
Tools and Practices for Addressing Pandemic Challenges (Coursera) Coursera
Politecnico di Milano

Tools and Practices for Addressing Pandemic Challenges (Coursera)

An overview of the tools, techniques, and practices that can be enacted by policy makers, countries, and organizations to monitor, manage, and react to pandemics and mitigate and govern their impacts. An introductory, multidisciplinary course covering data science, social science, healthcare, and management, paving the way to various courses on specific matters.

Sep 28th 2026
2 Weeks
Data Science for Business Innovation (Coursera) Coursera
Politecnico di Milano,EIT Digital

Data Science for Business Innovation (Coursera)

The course is a compendium of the must-have expertise in data science for executive and middle-management to foster data-driven innovation. It consists of introductory lectures spanning big data, machine learning, data valorization and communication. Topics cover the essential concepts and intuitions on data needs, data analysis, machine learning methods, respective pros and cons, and practical applicability issues.

Sep 21st 2026
4 Weeks
Advanced Linear Models for Data Science 2: Statistical Linear Models (Coursera) Coursera
Johns Hopkins University

Advanced Linear Models for Data Science 2: Statistical Linear Models (Coursera)

Welcome to the Advanced Linear Models for Data Science Class 2: Statistical Linear Models. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following: a basic understanding of linear algebra and multivariate calculus; a basic understanding of statistics and regression models; at least a little familiarity with proof based mathematics; basic knowledge of the R programming language.

Sep 28th 2026
4 Weeks
Process Mining: Data science in Action (Coursera) Coursera
Eindhoven University of Technology

Process Mining: Data science in Action (Coursera)

Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains. Data science is the profession of the future, because organizations that are unable to use (big) data in a smart way will not survive. It is not sufficient to focus on data storage and data analysis. The data scientist also needs to relate data to process analysis.

Sep 21st 2026
5-12 Weeks
Discovering BI: From Warehousing to Interactive Dashboards (Coursera) Coursera
Coursera Instructor Network

Discovering BI: From Warehousing to Interactive Dashboards (Coursera)

In a world where vast amounts of data are generated every second, understanding database structures and the art of transforming data into intelligence is increasingly crucial for those looking to excel in this realm. To embark on this journey, there is no better starting point than Business Intelligence (BI), covering everything from data storage to the creation of engaging dashboards.

Sep 28th 2026
1 Week
Getting Started with SAP BusinessObjects Roambi (openSAP) OpenSAP
SAP

Getting Started with SAP BusinessObjects Roambi (openSAP)

In today’s digital age, mobile devices have become a de facto tool for business, not only performing as communication devices, but as enablers of business activities. In this space, the mobile workforce needs efficient ways to interact with the overload of information delivered to it. In most cases, key data is delivered in the form of PDF or spreadsheet attachments that make consumption on mobile devices cumbersome. To solve the problem, SAP BusinessObjects Roambi, a data visualization and publishing platform, was designed for mobile devices from the ground up with the end user in mind. The visualizations are designed to use the mobile device screen size effectively and enable the user to interact with the reports with engaging functionality and gestures commonly used in other mobile apps.

Self Paced
Self-Paced
Data Science Ethics (Coursera) Coursera
University of Michigan

Data Science Ethics (Coursera)

What are the ethical considerations regarding the privacy and control of consumer information and big data, especially in the aftermath of recent large-scale data breaches? This course provides a framework to analyze these concerns as you examine the ethical and privacy implications of collecting and managing big data. Explore the broader impact of the data science field on modern society and the principles of fairness, accountability and transparency as you gain a deeper understanding of the importance of a shared set of ethical values.

Sep 21st 2026
4 Weeks