I have always dreamed about doing some contribution towards improving the gender balance in technology, which as you may know, is far from ideal.
Over the 6-month course, I will share my hands-on experience with the various stages of the data analysis pipeline, specifically on how to apply various technologies to ingest, model and visualize data insights.
Rather than focusing on a specific technology, I will leverage on the “best tool for the job, approach”, which is what I do when I want to analyse data. This means learning different tools, such as Python, R, SQL or QGIS, and often combine them together.
For me “data analytics” is like a journey, where we start with a high-level problem, translate it into data and algorithms, and finally extract a high-level idea. At the start and the end of journey, we should always be able to communicate with people that are not “data geeks” and this is one idea that I would like to pass in the course.
I will not add anything else, apart that I am really excited to get started!