"Show me what you can do by what you've done".This was the exact question one of my mentors asked me few years ago. I was so confident of my passion in data analysis, I had read and learnt a lot about the field but had no way to demonstrate my knowledge.
Let me summarize a 10-minute conversation with my mentor few years ago that led to a huge change in my career. It took me weeks to secure a 10-minute attention of my mentor to listen to my progress and all I have been able to do in the past few months. I approached my mentor with full confidence, spoke for 8 minutes on how much I knew about the evolving field of data analysis and science and that I believe I can start working in this field, his response was - "Show me what You can do by what You have done".
That was the end of the long awaited and the most anticipated 10-minutes conversation. I couldn't proceed as I have no response to his request. How can I show my mentor what I can do by what I have done? I obviously need to come to him with a project demo or portfolio link to access my work.
Is This Still Relevant Today?
I guess you are also wondering if this same scenario is applicable to you. Yes, after 30Days of Learning, what do you want to share with the community? - Microsoft Badges and lots of excitement for finishing the learning adventure? This can't be what you are thinking right now (lol), if YES, then, this same story is applicable to you.
To maximize the advantage of this learning adventure, you need to translate the knowledge to skill. This is exactly what this project is all about.
About the Project
We have 2 different datasets. You are to work on at least one of them.
Project 1: Airlines Delay Storytelling
The original dataset was purposed for predicting whether a given flight will be delayed, given the information of the scheduled departure. However, your task will be to understudy this data and tell a story about the entire flight experience.
It would be interesting if you can cover the following in your story:
What has been the history of flight experiences in the past?
How bad was delayed flights?
Any identified pattern with delayed flights?
Any possible recommendation?
Note: These are just few questions. you are expected to be very creative, feel free to do what you like with the data.
On projects like this, the most detailed and insightful work always have inclusion of some external dataset to further provide clarity e.g., finding quantitative data relating to the different airlines e.g estimated average capacity for each airport or any data specific to the countries where these airlines primarily operate from, and any other available data can make this work more exploratory.
Project 2: Airplane Crashes and Fatalities Since 1908