Share your recently acquired knowledge across your social and professional networks.

{learning-journey-title}

Record of Achievement

AcknowledgeBadgeCourses.png

Pass all the quizzes and receive a digital badge

Record of Achievement

Record of Achievement Courses

Share feedback

Planned maintenance of Practice Systems

Planned maintenance of Practice Systems

Why create an SAP account?

Enhance your learning experience

SAP Learning

Subscribe now

Learn more

Live Sessions

Hands-on Practice

Certification

My Learning

Ready to start learning?

ST (MMCP-Storage) - 2024-05-22T16:07:31.154Z)

Introduction to the Course

Introduction to Data Science

Introduction to Project Methodologies

Business Understanding Phase – Overview

Defining Project Success Criteria

Data Understanding Phase – Overview

Initial Data Analysis and Exploratory Data Analysis

Downloads

Now you have the chance to earn points towards your record of achievement. The specific details of the quiz are listed below. You’ll have one attempt at getting the questions right, so please make sure to check your answers before saving them.
We strongly recommend that you avoid guessing in multiple-answer questions, and only select the answers that you are sure about. Check the [**evaluation of exam performance guidelines**][1] for further details. 

Before you begin, check your browser is compatible. You can find the requirements on our [**FAQs page**][2]. If, for some reason, you get disconnected, try to reconnect within the given time and you’ll still be able to finish the quiz. If you have any other issues, please contact the **openSAP Helpdesk**.

[1]: https://open.sap.com/pages/roa_guidelines#4-evaluation-of-exam-performance
[2]: https://open.sap.com/pages/faq#what-are-the-technical-prerequisites-for-the-weekly-assignments-and-final-exam

Unit Assessment

Assignment Week 1

Business and Data Understanding

Data Preparation Phase – Overview

Predictive Modeling Methodology – Overview

Data Manipulation

Data Encoding

Selecting Data – Variable and Feature Selection

Assignment Week 2

Data Preparation

Modeling Phase – Overview

Detecting Anomalies

Association Analysis

Cluster Analysis

Unit 5 A: Classification Analysis with Regression

Unit 5 B: Classification Analysis with Regression

Assignment Week 3

Modeling (1)

Classification Analysis with Decision Trees

Classification Analysis with KNN, NN, and SVM

Time Series Analysis

Ensemble Methods

Simulation and Optimization

Assignment Week 4

 Modeling (2)

Model Performance Metrics

Model Testing

Improving Model Performance

Evaluation Phase – Overview

Evaluating Model Performance

Assignment Week 5

Deployment Phase – Overview

Deployment Options

Monitoring and Maintenance

Data Science Applications and References

Assignment Week 6

Deployment and Maintenance

Getting Started with Data Science

In 2012, Harvard Business Review named data science the "sexiest job of the 21st century." Why are data scientists in such demand these days? The answer is that over the past decade, there has been an explosion in the data generated and retained by companies, and they need to leverage and exploit it. Data scientists are the people who make sense out of all this data and figure out just what can be done with it. If you’re interested in learning about data science, this course will introduce you to the fundamentals of data preparation, predictive modeling, data science, and the deployment and maintenance of models in a business environment following a tried and tested project methodology. Data science is a complex subject to understand, but in this course, you’ll learn about the fundamental principles, look at how the algorithms can add value to your business, and complex processes will be demystified.