AI & ML in SAP Analytics Cloud ( SAC ) Full Course

Name: AI & ML in SAP Analytics Cloud ( SAC ) Full Course
Rating: 4.0 (18 reviews)

Your Gateway to Advanced Analytics and Predictive Insights

Created bySonam Thote

Last updated 8/2024

English

What you'll learn

Understand and apply AI/ML in SAP Analytics Cloud to solve real-world business problems. Master SAC’s Smart Insights, Smart Discovery, and Predictive Scenarios.
Use Smart Insights in SAC to quickly identify top contributors with ML, saving time by automatically analyzing data points and adding context to visualizations.
Learn Smart Discovery in SAC to uncover insights, find key influencers, analyze patterns, and predict outcomes using ML, enabling data-driven decisions and NLP.
Explore SAC’s predictive analytics: Time Series, Classifications, and Regressions. Use ML to simplify insights, trends, and data-driven decisions.

Course content

7 sections • 21 lectures • 2h 2m total length

Title Intro2:39
Introduction and Preparation1:50

Classification - Training your predictive model9:58
Learn how to train classification models in SAC, including selecting variables, running the training process, and setting up the targets and influencers.
Classification - Overview Page5:46
Learn how to navigate and interpret the Classification Overview Page in SAC, gaining insights into model performance and key influencers.
Classification - Influencer Contribution4:34
Learn how to analyze and interpret the impact of different variables on classification outcomes in SAC, using Influencer Contribution insights.
Classification - Confusion Matrix4:36
Learn how to interpret the Confusion Matrix in SAC to evaluate the accuracy and performance of their classification models.
Classification - Profit Simulation2:47
Learn how to use Profit Simulation in SAC to assess the financial impact and potential profitability of different classification outcomes.
Classification - Performance Curves5:11
Learn how to analyze and interpret performance curves in SAC to evaluate and compare the effectiveness of their classification models.
Classification - Application7:11
Learn how to apply classification models in SAC to real-world business scenarios, driving data-driven decision-making and insights.
Classification | Test your knowledge

Regression - Training your predictive model9:24
Learn how to set up and train regression models in SAC, optimizing parameters to enhance predictive accuracy and performance.
Regression - Looking for the best predictive model6:56
Learn how to evaluate and compare different regression models in SAC to identify the most accurate and effective one for their data.
Regression - Application6:45
Learn how to apply regression models in SAC to real-world scenarios, using predictions to drive business decisions and strategies.
Regression | Test your knowledge

Time Series Forecasting - Intro and Prep3:43
Learn the basics of time series forecasting in SAC, including setting up data and understanding key concepts before model creation.
Time Series Forecasting - Creating a predictive model4:29
Learn how to build and configure time series forecasting predictive model in SAC to predict future trends based on historical data.
Time Series Forecasting - Overview Page3:09
Learn how to navigate and interpret the Overview Page in SAC, gaining insights into forecasted trends and model performance.
Time Series Forecasting - Forecast Page2:33
Learn how to analyze and interpret detailed forecast results in SAC, understanding the projected trends and their implications.
Time Series Forecasting - Explanation Page6:29
Learn how to interpret the explanations behind forecast results in SAC, including understanding the factors driving the predictions.
Time Series Forecasting - Application6:44
Learn how to apply time series forecasting models in SAC to real-world business scenarios, using predictions to inform strategic decisions.
Time Series Forecasting | Test your knowledge

Requirements

Basic Understanding of SAP Analytics Cloud: Familiarity with the SAP Analytics Cloud interface and basic functionalities is recommended.
Foundational Knowledge in Data Analytics: Understanding of data analysis concepts, including data types, basic statistical methods, and data visualization, will be helpful.
Familiarity with Machine Learning Concepts (Optional): Basic knowledge of machine learning concepts like regression, classification, and forecasting will help learners grasp the advanced topics covered in the course.

Description

Unlock the full potential of SAP Analytics Cloud (SAC) with our comprehensive course focused on its advanced Artificial Intelligence (AI) and Machine Learning (ML) capabilities. Designed for business analysts, data scientists, SAP users, and decision makers, this course will guide you through the powerful predictive analytics tools in SAC, including Smart Insights, Smart Discovery, Time Series Forecasting, Classification, and Regression.

Through hands on demonstrations, practical examples, and interactive exercises, you’ll learn how to automate complex data analysis processes, uncover key influencers, predict future outcomes, and make data driven decisions with confidence. Whether you're new to predictive analytics or looking to expand your skills, this course provides the knowledge and tools to enhance your data insights and drive strategic business success. You will also gain valuable experience in real world scenarios, ensuring that you can apply these techniques effectively in your day to day work.

By the end of this course, you will be proficient in using SAP Analtyics Cloud's predictive scenarios to transform raw data into actionable insights, enabling you to make informed, impactful decisions that propel your organization forward.

Join us to master the art of data driven decision making and take your analytics skills to the next level.

Who this course is for:

Business Analysts: Professionals looking to enhance their data-driven decision-making skills using SAP Analytics Cloud's AI and ML capabilities.
Data Analysts and Data Scientists: Individuals seeking to leverage advanced predictive analytics tools in SAC for more robust insights.
SAP Users and Consultants: Those who are already familiar with SAP environments and want to expand their expertise into predictive analytics and machine learning within SAC.
Business Intelligence Professionals: BI experts interested in exploring how SAC can automate and simplify complex data analysis processes.
Decision-Makers and Managers: Leaders who want to understand how predictive analytics in SAC can drive strategic business decisions
This course is suitable for anyone interested in using AI and ML tools in SAP Analytics Cloud to uncover valuable insights and make data-driven decisions.

AI & ML in SAP Analytics Cloud ( SAC ) Full Course

What you'll learn

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Course content

Introduction2 lectures • 4min

Smart Insights1 lecture • 9min

Smart Discovery1 lecture • 16min

Predictive Analytics1 lecture • 2min

Classification7 lectures • 40min

Regression3 lectures • 23min

Time Series Forecasting6 lectures • 27min

Requirements

Description

Who this course is for: