Course Information
Course Overview
Learn how to use HANA Predictive Analytics Library to create powerful applications
*** This course requires a access to an SAP HANA System.**
This Entry Level to Intermediate SAP HANA Predictive Analytics course will help you master many important techniques to start creating sophisticated, predictive analytics applications that utilize the power of SAP HANA and Business Intelligence.
The course is designed so that you can master all the techniques gradually, starting from basic and relatively simple techniques before moving on to the more demanding techniques that Business Intelligence Professionals use to create predictive analytics applications for their customers.
The course will take you step by step through the process of creating the required HANA objects, such as tables, views and predictive analytics SQL scripts. In particular, from this course you will learn:
Fundamentals of the Predictive Analytics Library,
The structures involved, such as HANA Tables, Views, PAL SQL procedures and more,
A comparison of the raw PAL SQL code with the HANA Analytical Processes available in SAP BW by creating the comparable HANA AP in BW,
Integrating Predictive Analytics into SAP BW and SAP Lumira
Prerequisites:
This course assumes no knowledge of the HANA Predictive Analytics Library.
BW and HANA experience would be helpful.
What this course is not:
This course does not cover every single Predictive Analytics algorithm. It covers enough of the algorithms for you to get comfortable with using them and apply the techniques to any other functions. Covering all algorithms will result in a high level of repetition without any real value.
What sets this course apart from anything available on other platforms is the fact that it covers the integration and application of the Predictive Analytics Library with the various other SAP BW and visualization platforms.
This course will always expend so check back regularly for updates and more content, for example, integration of PAL into SAP BPC Embedded, more case studies for Regression Algorithms, Text Analytics and more!
Course Content
- 3 section(s)
- 10 lecture(s)
- Section 1 Introduction
- Section 2 HANA Predictive Analysis Library basics
- Section 3 Case study: HR Analytics and Decision trees
What You’ll Learn
- Identify the various modelling tools available in SAP Predictive Analytics and apply the best tool for the use case.
- Use SAP HANA Predictive Analytics Library models.
- Create SAP HANA Predictive Analytics Library models.
- Create and use HANA AP in SAP BW
- Use Lumira and to visualize HANA data.
Skills covered in this course
Reviews
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GGuilibaldo Atkinson
Nice step by step explanation on how to start.
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CClarence Walker
This gives me a good understanding of how the Data can be manipulated.
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LLaila Malas
the course is so amazing for who want to understand data and build machine learning algorithms to make prediction because every data these days is need to be cleaned prepared and explore the data in different ways to make decisions that is critical to your company or job so go for it . Thanks a lot
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SSachin Motgi
Looking for more sessions.