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.

Getting to know the case study

Defining analytical questions

Looking at the raw data

Investigating frequencies

From problem to insights

Data Science Process

The data-driven process

Options

Quantitative

Qualitative

Quantitative vs. qualitative variables

Which type of analytics?

Working towards insights

Getting to Know the Case Study

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 data

Investigating the age variable

Remote working vs. productivity

Different people, different barriers?

Getting insights from the data

Investigating the number of clusters

Investigating the characteristics of the clusters

Next steps

Visualizing and communicating your insights

Technical vs. non-technical report

Getting the narrative structure in order

Reasons to use visualizations

The final dashboard

Wrap-up

Investigating Remote Working Habits

Are you ready to apply your data literacy skills to a real-world case study?

In this case study, you’ll work as a consultant for a fictitious company and investigate their current remote working policy and ways to improve it.

Through hands-on exercises, you’ll go step-by-step from business problem to communicating the right insights. You’ll practice data literacy skills like 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.

Ready to apply your data literacy skills to a real-world case study?

<h2>Explore The Benefits of Remote Working</h2>
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.


<h2>Tackle Real-World Problem From Start to Finish</h2>
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.

Introduction to Data Literacy

Improve data literacy skills by analyzing remote working policies. Practice problem-solving, analytics, and effective communication in this hands-on case study.

Data Literacy Case Study: Remote Working Analysis

Improve data literacy skills by analyzing remote working policies.


Datenkompetenz für den Berufsalltag

Defining analytical questions

Data Literacy Case Study: Remote Working Analysis

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