Data Science Ethics with R

Instructor: Mine Çetinkaya-Rundel , Dr. Elijah Meyer

Beginner Level • 6 hours to complete 3 weeks at 2 hours a week • Flexible Schedule

What You'll Learn

                Critically assess ethical concerns considering data intent and data privacy
Identify strategies that can be incorporated to help secure sensitive data
Define algorithmic bias and become conscious of when these situations may occur

            

Skills You'll Gain

Algorithms
Data Quality
R Programming
Data Literacy
Data Ethics
Data Visualization Software
Data Presentation
Data Integrity
Data Collection

Shareable Certificate

Earn a shareable certificate to add to your LinkedIn profile

Outcomes

                    
                                Learn new concepts from industry experts
                            
                                Gain a foundational understanding of a subject or tool
                            
                                Develop job-relevant skills with hands-on projects
                            
                                Earn a shareable career certificate

There are 1 modules in this course

Data ethics is an essential component for those who work with data. In this module, we will become aware and hold discussions around how data visualizations can mislead and strategies to mitigate these types of situations. Further, we will discuss and critically think about data privacy. Lastly, we will define algorithmic bias and be aware of situations where this type of bias can occur.