Join this free online course to learn about data science. The 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.

June 15, 2021 - August 4, 2021
Language: English

Course information

Course Summary

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.

In the first week, we’ll cover the fundamental challenges of business problem understanding and identifying the appropriate analytical approach. In the second week, we’ll cover data preparation, selecting variables, and data encoding. Weeks three and four will introduce you to a wide range of algorithms such as decision trees, regression, neural networks, basket analysis, and simulation. Week five explains how we evaluate the performance of our models and the approaches we take to improve them. In week 6, you’ll learn about model deployment and maintenance, and we’ll debunk some common myths.

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 we’ll demystify the complex processes. You don’t have to be a rocket scientist to be a data scientist.

Course Characteristics

Course Content

Week 1: Business and Data Understanding
Week 2: Data Preparation
Week 3: Modeling (1)
Week 4: Modeling (2)
Week 5: Evaluating Model Performance
Week 6: Deployment and Maintenance
Week 7: Final Exam

Target Audience

Anybody with a basic understanding of data, data analysis, and simple mathematics.

Further Learning

Further Learning pic openSAP course Introduction to Statistics for Data Science

What you'll learn

  • Business and Data Understanding
  • Data Preparation
  • Modeling Part 1
  • Modeling Part 2
  • Evaluating Model Performance
  • Deployment and Maintenance

Course contents

  • Week 1:

    Business and Data Understanding
  • Week 2:

    Data Preparation
  • Week 3:

    Modeling (1)
  • Week 4:

    Modeling (2)
  • Week 5:

    Evaluating Model Performance
  • Week 6:

    Deployment and Maintenance
  • I Like, I Wish:

    We Love Your Feedback … And Want More
  • Final Exam:

    Good Luck!

Enroll me for this course

The course is free. Just register for an account on openSAP and take the course!
Enroll me now
Learners enrolled: 11467

Certificate Requirements

  • Gain a Record of Achievement by earning at least 50% of the maximum number of points from all graded assignments.
  • Gain a Confirmation of Participation by completing at least 50% of the course material.

Find out more in the certificate guidelines.

This course is offered by

Stuart Clarke

Stuart Clarke is a chief consultant with Global Consulting Delivery, Analytics and Insight, focusing on predictive analytics and data science.

He has specialized in operational research, data science, predictive analytics, and advanced analytics for over 25 years, working extensively in the telecommunications, retail, utilities, and financial services sectors.

At SAP, he provides predictive analytics consultancy, developing and implementing predictive models for SAP customers and delivering POCs for customers and prospects. He also holds introduction courses for SAP Predictive Analytics and deep-dive technical sessions to SAP customers, partners, and internals, world-wide.