SAP Predictive Analytics Training Online

SKU: 2954
12 Lesson
|
40 Hours
igmGuru offers a comprehensive SAP Predictive Analytics Training to learners of all levels. The course covers all essential modules including Automated Analytics, Expert Analytics, Predictive Factory, Data Preparation & Modeling, Time-Series Forecasting, Integration with SAP HANA, and much more. Our course curriculum is developed by seasoned SAP Predictive Analytics specialists with more than 15 years of experience. Enroll in our SAP Predictive Analytics Certification Course to gain practical, hands-on experience using real business scenarios.
Enroll Now
SAP Predictive Analytics Training

Overview

Prerequisites

  • Basic Knowledge of SAP Systems (Recommended)
  • Understanding of Databases
  • Basic SQL knowledge
  • Basic Statistics & Analytics Knowledge

What Will You Learn

  • What is predictive analytics vs descriptive / prescriptive analytics
  • Use cases & benefits of predictive analytics
  • Overview of tools available in the market (e.g. R, SAS, SPSS, RapidMiner)
  • Introduction to SAP Predictive Analytics toolkit (PA)
  • Integration with SAP HANA & PAL (Predictive Analytics Library)
  • Using Expert Analytics for model creation
  • Model evaluation and statistics (accuracy, generalization)
  • Interpreting automated models: confusion matrix, gain charts, etc.
  • Building time-series forecasts (trend, seasonality)

Key Features

Course Curriculum

1. What is predictive analytics vs descriptive / prescriptive analytics
2. Data science lifecycle
3. Use cases & benefits of predictive analytics
4. Key performance metrics (e.g., ROC curve, confusion matrix)
1. Overview of tools available in the market (e.g. R, SAS, SPSS, RapidMiner)
2. Positioning of SAP Predictive Analytics in the tool ecosystem
1. Introduction to SAP Predictive Analytics toolkit (PA)
2. Architecture and components (Expert Analytics, Automated Analytics, Data Manager)
3. Integration with SAP HANA & PAL (Predictive Analytics Library)
4. Project planning (e.g., CRISP-DM methodology)
1. Using Expert Analytics for model creation
2. Algorithms: decision trees, neural networks, clustering, etc.
3. Data exploration, visualization & manipulation
4. Model evaluation and statistics (accuracy, generalization)
5. Integration with R for advanced modeling
1. Automated workflow for building predictive models
2. Automated classification (e.g. churn prediction), regression, time-series forecasting
3. Interpreting automated models: confusion matrix, gain charts, etc.
4. Reducing variables, data encoding & feature engineering
1. Building time-series forecasts (trend, seasonality)
2. Using automated models for forecasting & evaluating forecast accuracy
3. Simulating future scenarios & saving forecasts back into planning models (if applicable)
1. Introduction to SAP Data Manager (semantic layer)
2. Data extraction, transformation, cleaning (outliers, missing values)
3. Sampling, binning, data cutting strategies
4. Variable transformation & feature creation
1. What is Predictive Factory and how to set it up
2. Importing, scheduling, and managing predictive models
3. Automation of model training / scoring jobs
1. Building recommendation models (retail, social behavior)
2. Social analytics integration / co-relational analysis
3. Advanced scenarios: big-data, real-time scoring, deploying models to HANA
1. Using Smart Predict in SAC for classification, regression, and time-series scenarios
2. Configuring predictive scenarios in SAC
3. Analyzing predictive model results (model performance, signal vs forecast)
4. Integrating predictive results into planning (e.g., saving forecast into planning model)
1. Metrics for model performance (MAPE, confusion matrix, AUC-ROC, etc.)
2. Cross-validation, training vs test, overfitting concept
3. Interpreting model outputs & business implications
1. Exporting / deploying predictive models into production systems (SAP HANA, BW)
2. Scheduling / automating scoring (via Predictive Factory)
3. Integrating with business workflows & applications
Talk To Us

We are happy to help you

1-800-7430-173 (US Toll Free)
+91 7240740740 (India)
Drop Us a Query
Fields marked * are mandatory

Request For Live Demo Class

Course Fees

Online Class Room Program

US $ 799.00
100% Money Back Guarantee
  • Duration : 40 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 11 Jun 2026
  • Weekday Batch 15 Jun 2026
  • Weekend Batch 13 Jun 2026

Corporate Training

Corporate Training
  • Customized Training Delivery Model
  • Flexible Training Schedule Options
  • Industry Experienced Trainers
  • 24x7 Support
Contact Us

Trusted By Top Companies Worldwide

MITSUBISHI
Emirates
BECHTEL
Tech Mahindra
Techmill
metacube
Fareportal
Trelleborg
Capgemini
AU Small Finance Bank
United Nations
Inter Mid
SoftFlex
align
utthunga
Rimini Street
EJADAH
Yash Technologies
suyati
Hettich
APPCINO

Want to know Today's Offer

X

SAP Predictive Analytics Certification Exam

This course is aligned with below mention official certification exams:

Certification Name

SAP Certified Application Associate – SAP Predictive Analytics (C_PAII10_35)

Exam Format

  • Duration: 180 minutes
  • Number of Questions: 80 multiple-choice questions
  • Passing Score: Approximately 68%
  • Type: Knowledge-based questions covering Automated Analytics, Expert Analytics, Predictive Factory, data preparation, and model evaluation
  • Mode: Online proctored via SAP Certification Hub (remote/online)

Exam Cost

Typically included within the SAP Certification Hub subscription (approx. $200–$300 USD depending on region).

SAP Predictive Analytics Certification Exam

Reviews

Login
Forgot Password?
Don't have an account?
Sign Up

Our Alumni works at

HCL
FAI
YOKAGAWA
Tech Mahindra
SOCIETE GENERALE
SAMSUNG
EMIDS
DHL
FedEx
PayPal
BOSCH
asian paints
MICRO FOCUS
hgs
eClerx
Nasdaq
Persistent
CSS CORP

Explore Other Courses

×

Your Shopping Cart


Your shopping cart is empty.
Checkout

View Cart

Continue Shopping