update related course info

Author: afeld

resources.md

@@ -38,9 +38,15 @@ There are countless blog posts, videos, books, etc. out there. There is no "best
 ## Courses
 
 {% if id == "columbia" -%}
-- [Other Data Analytics & Quantitative Analysis (DAQA) courses](https://bulletin.columbia.edu/sipa/specializations/daqa/#coursestext)
+- Related [Data Analytics & Quantitative Analysis (DAQA) courses](https://bulletin.columbia.edu/sipa/specializations/daqa/#coursestext):
+   - Application Development for Social Impact
+   - Applying Machine Learning — if interested, you should take [Computing in Context](https://computing-in-context.afeld.me/) instead of {{course name}}
+   - Intro to Text Analysis in Python / Text as Data
+   - Intro to Infographics and Data Visualization
+   - Introduction to Database Design, Management, and Security
+   - Time Series Analysis
 {% else -%}
-- [Pre-approved courses outside of Wagner (for Wagner students)](https://wagner.nyu.edu/portal/students/academics/courses/non-wagner-courses)
+- [Courses outside Wagner](https://wagner.nyu.edu/portal/students/academics/courses/across-nyu)
 {%- endif %}
 - [Free trials for online courses through the GitHub Student Developer Pack](https://education.github.com/pack?sort=popularity&tag=Learn#offers)
 
@@ -86,7 +92,7 @@ There are countless blog posts, videos, books, etc. out there. There is no "best
 
 Want to keep going with Python after this class? See [Developer Roadmaps](https://roadmap.sh/) for directions you can go. This course doesn't spend a lot of time on [Python fundamentals](#python-fundamentals), so it's recommended that you do that first.
 
-Many "learn Python" resources will be web development-oriented — they will probably mention [Django](https://www.djangoproject.com/)/[Flask](https://flask.palletsprojects.com/). If you want to stay focused on data, you might want to look for ones that focus on [data science](#data-analysisscience) or [Python 3 generally](#python-fundamentals).
+Many "learn Python" resources will be web development-oriented — they will probably mention [Django](https://www.djangoproject.com/)/[Flask](https://flask.palletsprojects.com/). If you want to stay focused on data, you might want to look for ones that focus on [data science](#data-analysisscience) or [Python 3 generally](#python-fundamentals). See [Courses](#courses).
 
 ## Jupyter outside this course