Project Report on Digital Analytics
- Country :
Australia
Objective
The goal of the individual project is to combine and implement all the research and analytical skills you acquired throughout the five training modules (1-5). You are tasked with completing an entire project from hypothesis to results, reporting on the process and the outcomes in a 1,500 to 2,000-word research paper. Although you get quite some help with the data collection, the processing, analysis, and visualisation are up to you. You will have to assemble Python code to accomplish this.
Independence is key. Although we will extensively train all the required steps in the learning materials and tutorials, it is up to you to knit everything together, make your own logical decisions and explain them. That is the whole point of this project. When you work as a professional analyst, you will only get an overview of a problem and maybe some requirements. It is your responsibility to deliver, make decisions, and come up with solutions. That said, if you read through this document, you will find numerous tips and tricks to get you started and guide you through the process.
You will inevitably get stuck a few times. Do not let it discourage you. That is just the way it goes with any project. Plan ahead, sensibly combine the skills that you acquired throughout the course, and critically weigh the benefits and limitations. There is not one single approach. There will be plenty of opportunities to interact with the teaching staff during the semester and discuss your progression. The last weeks of the semester, prior to the deadline, are entirely allocated to Q&A about this final project. However, try to start as early as possible.
The problem
It is often said that popular music increasingly homogenises. It all sounds the same in favor of synthetic dance music with the same sound colour, rhythm, and tempo. Music used to be much more diverse. Ok, boomer.
In your project, you will contextualise this assumption in literature and empirically put it to the test by comparing the top hits of the past 50 years for their key audio features (1970-2020). You need to mold this research problem into a testable hypothesis. A hypothesis is a specific, concise, testable, and refutable statement.
