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Data Literacy Case Study: Remote Working Analysis

Improve data literacy skills by analyzing remote working policies.

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1 Hour6 Videos23 Exercises

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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.
  1. 1

    Getting to Know the Case Study

    Free

    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.

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    Getting to know the case study
    50 xp
    Defining analytical questions
    50 xp
    Looking at the raw data
    50 xp
    Investigating frequencies
    50 xp
    From problem to insights
    50 xp
    The data-driven process
    100 xp
    Quantitative vs. qualitative variables
    100 xp
    Which type of analytics?
    50 xp
    Working towards insights
    50 xp
  2. 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.

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    Exploring the data
    50 xp
    Investigating the age variable
    50 xp
    Remote working vs. productivity
    50 xp
    Different people, different barriers?
    50 xp
    Getting insights from the data
    50 xp
    Investigating the number of clusters
    50 xp
    Investigating the characteristics of the clusters
    50 xp
    Next steps
    50 xp
    Visualizing and communicating your insights
    50 xp
    Technical vs. non-technical report
    100 xp
    Getting the narrative structure in order
    100 xp
    Reasons to use visualizations
    50 xp
    The final dashboard
    50 xp
    Wrap-up
    50 xp

Collaborators

Anneleen Rummens
Joe Franklin
Jess Ahmet

Prerequisites

Introduction to Data Literacy
Maarten Van den Broeck HeadshotMaarten Van den Broeck

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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