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Week

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

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[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.