Predictive Analytics on SAP Analytics Cloud
Predictive Analytics on SAP Analytics Cloud, available at $39.99, has an average rating of 4.3, with 21 lectures, 1 quizzes, based on 21 reviews, and has 104 subscribers.
You will learn about 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 This course is ideal for individuals who are SAP BI Professionals who want to expand their skills in Analytics or Anyone who is interested in Predictive Analytics or Business users who want to predict and make decisions It is particularly useful for SAP BI Professionals who want to expand their skills in Analytics or Anyone who is interested in Predictive Analytics or Business users who want to predict and make decisions.
Enroll now: Predictive Analytics on SAP Analytics Cloud
Summary
Title: Predictive Analytics on SAP Analytics Cloud
Price: $39.99
Average Rating: 4.3
Number of Lectures: 21
Number of Quizzes: 1
Number of Published Lectures: 21
Number of Published Quizzes: 1
Number of Curriculum Items: 24
Number of Published Curriculum Objects: 24
Original Price: $49.99
Quality Status: approved
Status: Live
What You Will 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
Who Should Attend
- SAP BI Professionals who want to expand their skills in Analytics
- Anyone who is interested in Predictive Analytics
- Business users who want to predict and make decisions
Target Audiences
- SAP BI Professionals who want to expand their skills in Analytics
- Anyone who is interested in Predictive Analytics
- Business users who want to predict and make decisions
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 Curriculum
Chapter 1: Introduction to Predictive Analytics
Lecture 1: Introduction
Chapter 2: Predictive Analytics : Classification
Lecture 1: Introduction to Classifier Example 1
Lecture 2: Import the Datasets
Lecture 3: Building the Classifier
Chapter 3: Performance metrics for Classification
Lecture 1: Understanding the metrics for Classification
Lecture 2: Global indicators for Performance
Lecture 3: Applying the model to the Cardio Test Dataset
Chapter 4: Predictive Analytics : Classification Example 2
Lecture 1: Datasets for Classifier
Lecture 2: Importing Datasets to SAC
Lecture 3: Training the classifier
Lecture 4: Applying the model to the Test Dataset
Chapter 5: Predictive Analytics : Regression
Lecture 1: Introduction to Regression using SAC
Lecture 2: Importing Housing Value Datasets
Lecture 3: Training the Regressor
Chapter 6: Performance metrics for Regression
Lecture 1: Understanding the metrics for Regression
Lecture 2: Applying Regressor to the Test Dataset
Chapter 7: Predictive Analytics : Time Series
Lecture 1: Introduction to Time Series
Lecture 2: Importing the TimeSeries Datasets
Chapter 8: Exploring the Time Series Dataset and Training the Model
Lecture 1: Understand the Time Series Dataset using Trends
Lecture 2: Training Predictive models on TimeSeries Dataset
Chapter 9: Performance metrics for Time series
Lecture 1: Understanding the metrics for Timeseries Dataset
Instructors
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DataViz Academy
Corporate training company for IT courses
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 2 votes
- 3 stars: 3 votes
- 4 stars: 11 votes
- 5 stars: 4 votes
Frequently Asked Questions
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