SAP Predictive Analytics: Your Data Guide
Get ready to explore the world of data science and predictive analytics with Proximsoft’s SAP Predictive Analytics course. Crafted by experts, this program is your key to understanding SAP Predictive Analytics, helping you make sense of predictive modeling and smart decision-making with data. In this course, we break down the complexities of SAP Predictive Analytics into simple, easy-to-understand lessons. Whether you’re new to this or have some experience, our goal is to make sure you confidently grasp the ins and outs of predictive modeling. Expect a learning journey that’s not just about theory but also hands-on skills for real-world data adventures.
Why learn SAP Predictive Analytics?
- SAP Predictive Analytics offers hands-on support for making decisions grounded in practical data insights.
- Identify and refine operations efficiently with SAP Predictive Analytics, ensuring processes are finely tuned for optimal performance.
- Apply SAP Predictive Analytics skills across diverse business functions, enhancing efficiency in various operational areas.
- Optimize resource allocation with SAP Predictive Analytics, ensuring a precise distribution of time, money, and manpower.
- Equip yourself with skills that go beyond the present, as SAP Predictive Analytics remains a foundational element for adapting to future technological advancements
| Mode of Training | Online live Interactive sessions |
| Duration of the Training | 6 weeks |
| Training duration per day | 60 – 90 min session |
| Software Access | Software will be installed/server access will be provided, whichever is possible |
| Training Materials | Soft copy of the material will be provided during the training |
| Training fee | Depends on the Requirement |
| Resume Preparation | Yes, at the end of the course based on the JD |
| Interview Preparation | Yes, by sharing some FAQ’s |
| Mock calls | Yes, 2 Technical Mock calls |
| Internship Project | Yes |
| Certification | Yes, at the end of the training |
| JOB Assistance | Yes |
| JOB Support | Yes |
| Weekdays | 6AM -2 PM EST & 6-11:30 PM EST (student can pick any 1 hr) |
| Weekends | 8 AM – 12 PM EST (student can pick any 2 hrs) |
Course Content
Module1: Overview of Data Science and Predictive Analytics
- Explaining the Predictive Analytics
- Differences between Data Mining, Analytics, Predictive Analytics, and Data Science
- Differences between the Predictive, Descriptive, and Prescriptive Analytics
- Describe the required data size
- Davenport’s Analytic Competition 5 Stages
- Advantages of Predictive Analytics
- Explain where predictive analytics is currently used in the enterprise and what are the types of users
- Fundamentals of SAP Predictive Modeling
- Data Preparation, Data Exploration, and Data Variables
- Data Preparation, Transforming the Variables, outliers, binning, sampling, and missing values
- Strategies for the Data Cutting
- ROC Curve and Model Performance Indicators
- Predictive Confidence and Predictive Power
- Random Model, Perfect Model, Confusion Matrix, and Lift
- Fundamental Predictive Algorithms
- Classification – Neural Network and Decision Tree
- Regression
- Association Rule Analysis
- Clustering or Segmentation
- Time Series Analysis
- Outlier Analysis
- Network Analysis
- Data Requirements for every kind of Algorithm
Module2: Predictive Analytics tools available in the market
- Describe Market Trends for the Predictive Analytics
- Describe which organizations are the best dealers
- Some of the predictive analytics packages offered by SPSS, SAS, R, Rapid Mine
- Explain the Marketing Trends of Predictive Analytics
Module3: Overview of SAP Predictive Analytics
- SAP Predictive Analytics toolkit PA 2
- Predictive Analytics Strategy, Data Manager
- R Integration
- Expert Analytics
- SAP HANA – predictive analytics library
- SAP Automated Predictive Analytics Library
- SAP Automated Analysis
- Traditional vs. SAP Automated Analysis Approach
- Predictive Analytics Project Planning – CRSIP
Module4: SAP Expert Analytics
- Overview of SAP Expert Analytics
- How can it be used with SAP BI and Big Data
- Forecast and Visualization for the time series data
- Data Visualization, Data Manipulation, and Data Exploration
- Introduction to Data Management
- Store Analysis and Retail Analysis
- Predictive Modeling with the Expert Analysis
- Some of the Algorithms utilized in the Predictive Analysis Tools
- Combining the Algorithms
- Model Statistics
- Model Accuracy and Generalization
- Analysis Bank Customer with the Segmentation
- Integrating the Expert Analysis with the custom R code
- Utilizing the SAP HANA as the source of Expert Analysis
Module5: SAP Automated Analytics
- Introduction to SAP Automated Analytics
- Foundations and the data cutting strategy
- Data Preparation and Data Encoding
- Model Building Methodology for the Automated Analytics
Module6: Classification Modeling with the SAP Automated Analytics
- Classification Modeling with the SAP Automated Analytics
- Classification Model Output
- Confusion Matrix
- Applying the data model
- Enhancing Predictive Confidence and Predictive Power
- Decreasing the Number of Variables
- Data Deviation Testing and Performing the Data Deviation on the data with and without the target
- Advanced Functionalities like Gain Chart, etc
- Advanced-Data Description Functionality like Geolocation files and Composite Variables
Module7: Regression Modeling with the SAP Automated Analytics
Regression Modeling with the SAP Automated Analytics
Module8: Clustering with the SAP Automated Analytics
- Cluster Segmentation and Analysis
- Options – Target or No Target
- Difference between unsupervised and supervised segmentation
- Cluster Range
- Model Debriefing and the Cluster Profiles
- Applying the Segmentation Model Option
- Explaining the Segmented Models – Regression and Classification
Module9: Time Series with the SAP Automated Analytics
- Time Series with the SAP Automated Analytics
- Train the time series model
Module10: SAP Data Manager
- Overview of SAP Data Manager for the data preparation
- Functionality of Data Manipulation
- Data Manager Process and Advantages
Module11: SAP Predictive Factory
- Overview of SAP Predictive Factory
- Completing the Setup and Understanding the Architecture
- Importing the Models
- Model Scheduling Functionality
- Time Series Segmented Order
Module12: Social and Recommendations Functionality
- Social Functionality
- Recommendations Functionality and Creates the retail recommendation analysis
Module13: SAP Predictive Analysis Expert
- Explaining the SAP Predictive Analysis Expert and PAL(Predictive Analysis Library)
Talk to Our Career Advisor
FAQ'S
Mastering SAP Predictive Analytics opens doors to lucrative opportunities in data-driven decision-making, a crucial skill sought after in various industries.
The course carefully blends theoretical concepts with hands-on exercises, ensuring a holistic learning experience that enhances both understanding and practical skills.
Proximsoft maintains a continuous feedback loop with industry experts, updating the content regularly to align with the latest advancements in SAP Predictive Analytics.
While a basic understanding of data science is beneficial, the course covers essential concepts, making it accessible to learners with varying levels of experience.
