Brief Introduction
Dive in headfirst and carry out an independent data analysis. Build and design your own dashboard based on raw data to better inform business decisions.Description
Are you ready to leave the sandbox and go for the real deal? Have you followed EX101x Data Analysis: Take It to the MAX() and EX102x Data Analysis: Visualization and Dashboard Design and are ready to carry out more robust data analysis?
In this project-based course you will engage in a real data analysis project that simulates the complexity and challenges of data analysts at work. Testing, data wrangling, Pivot Tables, sparklines? Now that you have mastered them you are ready to apply them all and carry out an independent data analysis.
For your project, you firstly get one raw dataset, which you will turn into a dashboard, step by step. You will begin with a business question, and then touch upon different business domains, such as revenue management, planning, scheduling, management, investment, etc.
The progress of the project will be gradual – in the first weeks you will be guided by quizzes to make sure that you are on track. You will engage with creating first drafts of your work and discuss them with your peers.
In the final week, you will be in charge. You will get a second dataset and a number of questions to answer, and it is up to you to design and build the perfect dashboard.
This course will allow you to practice the skills you’ve gained in previous Data Analysis XSeries courses and prove you can be an indispensable asset in data-driven organizations.
By completing this project and EX101x and EX102x, you can obtain the XSeries Data Analysis Verified Certificate.
LICENSE
The course materials of this course are Copyright Delft University of Technology and are licensed under a Creative Commons Attribution-NonCommercial-ShareAlike (CC-BY-NC-SA) 4.0 International License.
Knowledge
- How to build and design a dashboard based on raw data
- Data analysis and visualization skills on real data
- How to answer business questions and communicate your findings
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