Machine Learning Made Easy! Learn How with SAP Analytics Cloud
AI and machine learning seem to be the hottest topics around right now. So, what is machine learning and why should you care? Find out in our new self-paced elearning journey, where you can learn how to use the incredible AI capabilities of SAP Analytics Cloud. The learning journey is geared towards the business user, so you don’t need to be a data scientist to successfully use augmented analytics in SAP Analytics Cloud. In fact, you don’t need any prior AI or machine learning knowledge and it’s easy to understand!
In our course, you’ll learn about the fundamentals of predictive modeling, and the deployment of forecasting models in a business environment with the easy-to-use capabilities in SAP Analytics Cloud.
To begin, the course will cover the fundamental challenges of business problem understanding and how to identify the appropriate analytical approach. Then, you’ll learn about data preparation, selecting variables, algorithms such as regression, classification and time series, and the latest Predictive Planning capabilities. Finally, you’ll learn how to evaluate the performance of predictive models and how you can improve them, before finishing with model deployment. There is a mixture of short courses supported by hands-on exercises where you get to build predictive models and understand the easy-to-use automated features available in SAP Analytics Cloud.
So, what are you waiting for? Sign up today and join our new learning journey on Learning.sap.com Apply SAP Analytics Cloud Augmented Analytics AI to Business Data to take the first steps in your journey to use data science and predictive modeling. Remember, you don’t have to be a rocket scientist to be a data scientist! SAP Analytics Cloud makes it easy.
Fill the gap through upskilling and enjoy SAP’s learning offerings on the SAP Learning site. This article is created and brought to you by SAP Product Learning CoE experts!
Written by Stuart Clarke
Hi Johann Schedrin thanks for creating the blog post and thanks Stuart Clarke for creating such a great course!