A connection of mine recently shared a great resource with me for those of you who are aspiring data scientist or just love data. It's an open-source data science program that can be found here: http://datasciencemasters.org/.
Check out this great data repository compiled by the project:
This weeks Makeover Monday's data set was the Top 100 Song's Lyrics. After just returning from Tableau's annual conference and being eager to try their new feature, TabPy, this seemed like the perfect opportunity to test it out. In this blog post, I'm going to offer a step-by-step guide on how I did this. If you haven't used Python before, have no fear - this is definitely achievable for novices - read on!
For some context before I begin, I have limited experience with Python. I recently completed a challenging but great course through edX that I'd highly recommend if you are looking for foundational knowledge - Introduction to Computer Science and Programming Using Python. The syllabus included advanced Python including Classes and thinking about algorithmic complexity. However, to run the analysis I did, it would be helpful to look up and understand at a high level:
basic for loopslistsdictionariesimporting libraries The libraries I used for this, should you w…
Over the last year I have noticed that as my social engagement increased I started to receive many messages to the likes of the following:
"I came across your Tableau profile/blog/Twitter and as a new user I would love to know your journey/resources you used to learn the tool." "How did you enter the data field with a background in political science?" "I came across your profile and was very impressed with your achievements and career path as you have grown into the Business Intelligence field. What advice would you have to a new comer?" "As someone who came from a non-technical background and quickly grown into the BI field successfully, I am wondering if you would share your experiences and tips."
For a while I felt a bit out of place to receive the compliments and struggled to realize I had a point of view that could be valuable to others in their own career progression. With the support of my peers and the amazing women…