It is quick and easy to start analysing Google Sheets data in Python using the EZSheets library. I typically write python scripts that automate the extraction and analysis of data stored in Google Drive. The best use case I have found for this is when using Google Forms. There are situations where you may be […]
The Python logging module has been part of my toolkit since the very beginning of my data science journey (thanks to a former colleague who helped me build my first web scraper and showed me some good practices to start with early rather than later). Now, whenever I create a python script (especially ones that […]
Power BI has been my go-to data visualisation and business intelligence tool for the last 3 years. I have built corporate dashboards with it and used it as my own little exploration tool when I’m tackling a new data set for the first time. Since I’ve been getting more and more proficient at using the […]
At what point do you get to declare “I am a data scientist”? How many PhD’s, decades of experience or deep learning models do you need to have under your belt before you feel like a ‘real’ data scientist? The truth is, data science is advancing so rapidly that it really is impossible to keep […]
If you have read my beginners guide to building a data science portfolio then you already know how important it is to find a way to demonstrate your skills, especially if you don’t have any work experience yet. The three most popular platforms for building a portfolio are Github, Kaggle and a personal website or blog. At […]
The projects in your data science portfolio should show that you have mastery in a particular area within data science. At the end of this post you should know how many projects to include as well as the types of projects that should make up your portfolio. You can demonstrate mastery by following these two […]
Some of the biggest, most innovative tech giants are still struggling with gender equality in their workforce. Only 33% of the employees at Google are female and only 23% of the workforce at Facebook is female. The Stats Overall, only 26% of the data and AI workforce is female, according to the World Economic Forum. Can you believe that we […]
If you have little to no experience as a data scientist, then you have to find a way to demonstrate that you have the skills to do the job. You can achieve this with a portfolio and this is arguably the most important part of your application. However, working on projects and putting together a […]
Probably the most valuable resource to me during my Masters research project was my notebook. I recorded everything about my project (meeting notes, analyses, ideas, theories, rough drafts) and even summaries of research papers that were interesting or relevant to my research. Since starting some data science projects outside of research and academia, I have […]
It’s easy to run headfirst into writing code and analysing data and forget about project layout, so make it part of your routine to get started with a simple structure that you either maintain throughout the project or evolve as you go. Future you (and others) will thank you for creating a well-structured, organised project. […]