Descriptive analysis of Black Friday Death Count Database provides an example of how creative classification can make a quick and easy data science portfolio project!
Tag Archives: customer feedback
24
Nov
Nov
Classification crosswalks are easy to make, and can help you reduce cardinality in categorical variables, making for insightful data science portfolio projects with only descriptive statistics. Read my blog post for guidance!
03
Oct
Oct
Data science services online in the comfort of your own home? That’s our specialty! We give you online educational events, learning resources, courses, coaching and more!
11
Sep
Sep
Data science coaching for the right person at the right time can empower them to quickly turn around their grades in college, immediately wrap up a portfolio project, or springboard their career into management or higher! Read my blog to see how.
28
Feb
Feb
GitHub beginners – even in data science – often feel intimidated when starting their GitHub accounts and trying to interact with the web page. Don’t be shy! Catch the highlights from a recent GitHub beginners workshop I held!
21
Sep
Sep
Learn about our online data science group mentoring program, and find out if it is right for you!
08
Apr
Apr
Data curation solution that I posted recently with my blog post showing how to do upset plots in R using the UpSetR package was itself kind of a masterpiece. Therefore, I thought I’d dedicate this blog post to explaining how and why I did it.
20
Jan
Jan
Interview preparation for data science jobs can involve taking several simple, actionable steps to make yourself feel confident and ready to answer questions with ease. Read my blog post for my tips and tricks!
Career Development
Answer Your Data Science Questions by Attending my Livestream Discussions on YouTube!
15
Jan
Jan
Answer your data science questions by attending my livestreams on YouTube and interacting in chat! Learn more about this in my blog post.
18
May
May
Learn the “data science of data collection” through my free introductory course! If you want to learn more, continue with the whole six-course series. Great for graduate students and QA/QI professionals!
