Data Literacy Case Study: Remote Working Analysis
Improve data literacy skills by analyzing remote working policies.Start Course for Free
1 Hour6 Videos23 Exercises
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Explore The Benefits of Remote WorkingIn 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 FinishThrough 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.
Getting to Know the Case StudyFree
Polaris 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.
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
PrerequisitesIntroduction to Data Literacy
Maarten Van den BroeckSee More
Senior Content Developer at DataCamp
Maarten is an aquatic ecologist and teacher by training and a data scientist by profession. He is also a certified Power BI and Tableau data analyst. After his career as a PhD researcher at KU Leuven, he wished that he had discovered DataCamp sooner. He loves to combine education and data science to develop DataCamp courses. In his spare time, he runs a symphonic orchestra.
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