Introduction to Predictive Analytics on SAP HANA
Learn how to use HANA Predictive Analytics Library to create powerful applications
What you will 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.
Why take this course?
🌟 Introduction to Predictive Analytics on SAP HANA 🌟
Course Headline:
Master SAP HANA Predictive Analytics Library for Cutting-Edge Applications 🚀
About This Course: This comprehensive Entry Level to Intermediate course is your gateway to understanding and mastering the art of creating sophisticated predictive analytics applications using the power of SAP HANA and its Business Intelligence tools. 📊✨
What You'll Learn:
- Fundamentals of the Predictive Analytics Library (PAL): Dive into the core components and get familiar with the PAL environment.
- HANA Structures & SQL Procedures: Explore the essential structures such as HANA Tables, Views, and learn to write PAL SQL procedures from scratch.
- Comparative Analysis: Understand how raw PAL SQL code stacks up against HANA Analytical Processes in SAP BW by creating equivalent HANA APs in BW.
- Integration with Business Intelligence Platforms: Discover how to effectively integrate Predictive Analytics into SAP BW and SAP Lumira, enhancing your analytics capabilities.
Course Requirements:
- No prior knowledge of the HANA Predictive Analytics Library is required.
- Experience with SAP BW and HANA will be advantageous but not essential as this course starts from the basics.
What This Course Doesn't Cover: This course does not aim to cover every single Predictive Analytics algorithm exhaustively. Instead, it provides you with a solid foundation to understand and apply these algorithms in various contexts. 📚
Unique Aspect of the Course: Unlike other platforms, this course focuses on integrating the Predictive Analytics Library into different SAP environments such as BW, Lumira, BPC Embedded, and more. This ensures that you're not just learning theoretical concepts but also practical applications that will make you a valuable asset in any analytics-driven project.
Course Updates & Continuous Learning: We are committed to providing the most up-to-date content. This course will be continuously updated with additional case studies for Regression Algorithms, Text Analytics, and more! Make sure to revisit this course often to see what's new and expand your skillset further. 🔄📈
Don't miss out: Enroll in "Introduction to Predictive Analytics on SAP HANA" today and take your first step towards becoming an expert in predictive analytics applications using SAP HANA and Business Intelligence! 🎓✅
Key Takeaways:
- Comprehensive Learning: From basic to complex techniques, this course covers all the essentials.
- Hands-On Approach: Learn by doing with real-world scenarios and practical exercises.
- Advanced Integration Knowledge: Understand how PAL fits into the broader SAP BI ecosystem.
- Stay Ahead: Benefit from continuous course updates, ensuring your skills stay current.
Embark on your predictive analytics journey today! 🛫🚀
Screenshots
Our review
***** Course Review: Introduction to Predictive Analysis with SAP HANA *****
Overview: The course serves as a solid introduction to Predictive Analytics (PAL) within the SAP HANA environment, though some participants feel that the time allotted (one and a half hours) is insufficient to fully grasp the concepts introduced. The course is designed for individuals with experience in Business Intelligence (BW) and HANA, as it assumes a certain level of familiarity with these tools.
Pros:
- Comprehensive Introduction: The course provides a good foundation for understanding PAL within the SAP HANA framework. It covers essential topics that are critical for those looking to leverage predictive analytics in their work.
- Clear Explanations: Key aspects such as who the end users of predictive analysis are and what activities a HANA Developer can undertake in relation to predictive analysis are clearly explained.
- Practical Relevance: The course is relevant for professionals aiming to understand how to apply predictive analytics to real-world scenarios, especially those interested in integrating R servers with various algorithms.
- Good Starting Point: It offers a solid starting point for individuals new to PAL and provides a brief overview of the mathematics behind it, although it is acknowledged that a more comprehensive coverage would be beneficial.
- Value for Data Professionals: The course is particularly valuable for data professionals who wish to understand how to clean, prepare, and explore data to inform decision-making within their companies or jobs.
Cons:
- Length of Content: The course is too concise, with participants feeling that one and a half hours is not enough time to fully absorb the material, especially regarding HANA SQL statistics and decision trees.
- Lack of Detail: Some users have noted that the course could benefit from more case studies and greater detail in each chapter for a deeper understanding.
- Pace of Mathematical Content: The brief and fast-paced coverage of the mathematical foundation of PAL may be challenging for learners seeking a more thorough explanation.
- Desire for More Comprehensive Material: Participants are looking forward to an upgraded version of the course that includes more details, particularly on SQL aspects related to predictive analytics.
General Feedback: The overall sentiment towards the course is positive, with users appreciating its value as an introduction to PAL within SAP HANA. Many are optimistic about the potential for the course to be expanded and upgraded to include more comprehensive content, especially in areas like SQL and decision trees. Users also recognize that the course is part of a larger learning landscape on Udemy, where similar courses often span 7-10 hours, suggesting that the current offering could be significantly enriched by adding more depth and length.
Final Thoughts: This course offers a good entry point into understanding PAL within the context of SAP HANA. It is particularly beneficial for professionals who want to leverage predictive analytics in their work. However, to provide a more complete learning experience, it is recommended that the course content be expanded with additional case studies, detailed explanations, and comprehensive coverage of all aspects of PAL, especially the mathematical underpinnings and SQL functionalities. With these enhancements, the course could become an indispensable resource for anyone looking to master predictive analytics using SAP HANA.