Udemy

Predictive Analytics on SAP Analytics Cloud

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  • 124 Students
  • Updated 11/2022
3.9
(25 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
1 Hour(s) 33 Minute(s)
Language
English
Taught by
DataViz Academy
Rating
3.9
(25 Ratings)

Course Overview

Predictive Analytics on SAP Analytics Cloud

Mastering Predictive Analytics with SAP Analytics Cloud

The course is ideal for Business Managers and Business Analysts who use SAP Analytics Cloud for data-driven processes. It focuses on Predictive Data Analytics, equipping you with specialized knowledge and highly sought-after skills. You will learn to transform data sets into valuable insights, enabling better data-driven decision-making.


Course Overview


Predictive Analytics Tools and Models: Organizations can now utilize historical and current data to reliably forecast future trends and customer behaviors. The course covers the application of predictive analytics to enhance decision-making processes across various business functions.


SAP Cloud Analytic Tools: You will learn to effectively manipulate, analyze, and interpret data using SAP Cloud analytic tools to improve overall business performance. This includes hands-on experience with SAP Analytics Cloud features, ensuring practical knowledge that can be applied immediately in your professional role.


Applications of Predictive Analytics


- Supply Chain Management: Optimize operations by predicting demand and managing inventory more effectively.


- Marketing and Promotional Planning: Increase revenue and sales by targeting customers who are likely to make a purchase, and plan promotions more strategically.


- Customer Retention: Utilize predictive models to identify at-risk customers and develop strategies to retain them.


- Product Management: Optimize product portfolios by understanding market trends and customer preferences.


Predictive analytics provides insights into when and why demand may occur and offers what-if analysis to influence customer demands and needs. The course covers a variety of statistical techniques, including data mining, predictive modeling, and machine learning, to analyze current and historical data for future predictions.


Learning Outcomes


By the end of the course, you will be able to:


- Build Classification Models: Develop models to categorize data and make predictions based on classification.


- Build Regression Models: Create models that predict continuous outcomes based on input variables.


- Build Time Series Models: Analyze and forecast data points over time to identify trends and patterns.


- Interpret Metrics: Understand and interpret key metrics for classification, regression, and time series models.


- Apply Models to Unseen Data: Use trained models to make predictions on new, unseen datasets, ensuring practical, real-world application.


Disclaimer


The instructor of this course is not associated with SAP SE or any of its affiliates. The course content is independently developed and is not endorsed by SAP.

This course offers a comprehensive approach to mastering predictive analytics with SAP Analytics Cloud, empowering you to drive better business outcomes through informed, data-driven decisions.

Course Content

  • 9 section(s)
  • 21 lecture(s)
  • Section 1 Introduction to Predictive Analytics
  • Section 2 Predictive Analytics : Classification
  • Section 3 Performance metrics for Classification
  • Section 4 Predictive Analytics : Classification Example 2
  • Section 5 Predictive Analytics : Regression
  • Section 6 Performance metrics for Regression
  • Section 7 Predictive Analytics : Time Series
  • Section 8 Exploring the Time Series Dataset and Training the Model
  • Section 9 Performance metrics for Time series

What You’ll Learn

  • Build Classification models in SAP SAC, Build Regression models in SAC, Build Time Series Models in SAC, Understand the metrics involved in Regression, Understand the metrics involved in Classification, Understand the metrics involved in Time Series, Apply the trained models to Test set

Reviews

  • A
    Angel Read
    5.0

    Excelente curso, bien explicado y ejercicios aplicables a la realidad de cualquier industria.

  • S
    Saidurga Gowtham Duggirala
    2.5

    the examples could have been better related to SAP Data than real world data

  • J
    James Vaillancourt
    1.5

    This section was in the other SAC class I took

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