There’s a block of “foundation courses” from which students must complete two:
MSDS 501 – Computation for Analytics
MSDS 502 – Review of Linear Algebra
MSDS 504 – Review Probability and Stats
Then there are 33 units of required courses:
MSDS 593 – EDA and Visualization
MSDS 601 – Linear Regression Analysis
MSDS 603 – Product Analytics
MSDS 604 – Time Series Analysis
MSDS 605 – Practicum I
MSDS 610 – Communications for Analytics
MSDS 621 – Intro to Machine Learning
MSDS 625 – Practicum II
MSDS 626 – Case Studies in Data Science
MSDS 627 – Practicum III
MSDS 629 – Experiments in Data Science
MSDS 630 – Advanced Machine Learning
MSDS 631 – Special Topics in Analytics
MSDS 632 – Practicum IV
MSDS 633 – Ethics in Data Science
MSDS 689 – Data Structures and Algorithms
MSDS 691 – Relational Databases
MSDS 692 – Data Acquisition
MSDS 694 – Distributed Computing
MSDS 697 – Distributed Data Systems
MSDS 699 – Machine Learning Laboratory
In addition, students must attend seminars and take 10 hours of interview skills training.
This is a one-year full-time residential program that includes 15 hours/week of practicum for nine months of the program.
Some of the things that most impress me about the curriculum:
Three courses on machine learning
A course devoted to ethics
A course on exploratory data analysis and visualization
The 2-unit course on data acquisition focuses on web scraping with Python (check out the course description for this!)
A communications course for learning how to present data to clients and stakeholders
Use of both R and Python; omission of unnecessary programming languages
A course on SQL databases and a separate course on MongoDB
A course on conducting experiments
I have no stake in this master’s degree program (in fact I work at a different university in another state), but when I’ve looked at other programs with “data science” in the title, I’ve concluded that most do not compare favorably with this one.
Mainly I am interested in the intersection of journalism and data science, so I’m continually making comparisons between data-focused journalism projects and the work of data scientists.
Mostly I don’t mind the WordPress Gutenberg editor, but this was a real pain in the ass.
First, you need a new “block.” It needs to be a regular paragraph block, NOT a code block. Code blocks are for writing code.
Then you need to turn on “Add Custom HTML” for that block.
Then you take the embed code from your gist (see image below), including the script tags, and paste it. There is no WordPress embed option for gists. Do not waste your time Googling for how to embed a gist, as I did.
Now you’ll have a proper gist embed in your WordPress post.
Clarification: It’s not a pain in the ass once you know this is the way to do it. It’s a pain in the ass to figure it out because (a) it doesn’t work like other WordPress embeds in Gutenberg, and (b) there are a bunch of incorrect post about how to do it, including one at WordPress Support.
Persistently, I kept searching, and I found that there are export options that do not require any extra libraries. Hooray!
Lordy, it was torture to embed that freaking gist using the WP Gutenberg editor. New post to follow.
The default toolset in Bokeh includes a “Save” icon. This outputs a PNG image of the chart.
Students really struggle with setup. By the time they’ve finished setting up Python, Jupyter Notebooks, etc., they’re ready to quit the course and not even learn Python at all — especially students using Windows.
I think with Miniconda I’ve finally tamed that beast. Here are my instructions for students, in one Google doc. Feel free to copy and edit it for your own use.