Data Literacy Case Study: Remote Working Analysis
Improve data literacy skills by analyzing remote working policies.
Start Course for Free1 hour6 videos23 exercises6,341 learnersStatement of Accomplishment
Create Your Free Account
or
By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Training 2 or more people?
Try DataCamp for BusinessLoved by learners at thousands of companies
Course Description
Ready to apply your data literacy skills to a real-world case study?
Explore The Benefits of Remote Working
In this case study, you’ll use your data literacy skills to work as a consultant for a fictitious company and investigate its current remote working policy and ways to improve it.Tackle Real-World Problem From Start to Finish
Through hands-on exercises, you’ll go step-by-step from identifying the business problem to communicating the right insights. You’ll practice data literacy skills, including breaking the business problem down to analytical questions, choosing the right type of analytics, communicating insights effectively using visualizations and narrative structure, and formulating recommendations for your clients.Training 2 or more people?
Get your team access to the full DataCamp platform, including all the features.In the following Tracks
- 1
Getting to Know the Case Study
FreePolaris Tech has hired you as a consultant to help them improve their remote working policy. They have a dataset they wish you and your team to analyze. To start, you'll get to know the business problem and the dataset better. You'll also plan out your analysis strategy from problem to actionable insights.
- 2
Investigating Remote Working Habits
Now that you’ve planned out your analysis strategy and got to know the data, it is time for the main analysis of the remote working survey. You’ll follow along with your team and practice how to build up to delivering actionable insights for Polaris Tech. Once the results are in, you’ll practice how to use communication tools like visualizations, narrative structure, and the right format to help Polaris Tech make the most of its data.
Exploring the data50 xpInvestigating the age variable50 xpRemote working vs. productivity50 xpDifferent people, different barriers?50 xpGetting insights from the data50 xpInvestigating the number of clusters50 xpInvestigating the characteristics of the clusters50 xpNext steps50 xpVisualizing and communicating your insights50 xpTechnical vs. non-technical report100 xpGetting the narrative structure in order100 xpReasons to use visualizations50 xpThe final dashboard50 xpWrap-up50 xp
Training 2 or more people?
Get your team access to the full DataCamp platform, including all the features.In the following Tracks
collaborators
audio recorded by
prerequisites
Introduction to Data Literacy
Anneleen RummensFreelance Data Scientist
Anneleen is a data scientist and statistics expert dedicated to demystifying data science, and guiding novices and experts alike in learning and understanding how to tell stories with data. She has a background in statistics and academic research and is experienced in researching and applying data science methods. Even in her spare time, Anneleen loves writing and reading about all things data science and how it helps us get the most out of data.
What do other learners have to say?
Join over 15 million learners and start Data Literacy Case Study: Remote Working Analysis today!
Create Your Free Account
or
By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.