Welcome to the Tech-Moms Data Analytics Course! This course is designed to empower women with the skills to break into the data analytics field. Over the next 15 weeks, you will gain hands-on experience with industry-standard tools such as Excel/Google Sheets, SQL, Tableau, Looker, Domo, and Python. In addition we will cover how to leverage AI, data visualization best practices, and critical thinking when it comes to analyzing data and surfacing insights.
| Course Duration: | 16 weeks - January 8 – May 3, 2025 |
|---|---|
| Format: | Remote + In-Person Meetups |
| Online Class Schedule: | Wednesdays 7:00 PM - 9:00 PM (Zoom) |
| Saturdays 10:00 AM - 12:00 PM (Zoom) | |
| March 31 – April 6 (No classes - Spring Break) | |
| In-person Classes: | Saturday, January 11 - 🕙 10 AM - 2 PM - 📍 PROG Dev Center - West Valley, UT |
| Saturday, February 1 - 🕙 10 AM - 2 PM -📍 Health Catalyst - South Jordan, UT | |
| Saturday, March 1 - 🕙 10 AM - 2 PM - 📍 Adobe - Lehi, UT | |
| Saturday, March 29 - 🕙 10 AM - 2 PM - 📍 Domo - American Fork, UT | |
| Saturday, May 3 - 🕙 10 AM - 2 PM - 🎓 GRADUATION DAY - 📍 TBD | |
| Instructors: | Alyson La + Kelsey Taylor |
| Class Mentors: | Tanya Seegmiller, Keenan Engstrom, Apoorva Bura, + Worthy Lee |
- Mondays 7:30pm-9pm w/ Tanya
- Thursdays 7:30pm-9pm w/ Kelsey
The syllabus outlines key course goals, expectations, and weekly learning objectives. You can view or download the full syllabus here.
We will use this GitHub repository to manage our course materials and assignments. Each student will fork (make a copy of) the main course repository to their personal GitHub profile and use that fork to track their weekly assignments. Each week, you will edit the Module README (e.g., Module_1/README.md) in your forked repository and add a checkmark when you have completed each task. Occasionally, you will need to pull in changes from the main course repository to keep your fork updated.
To do this, you will:
- Click "sync fork" at the top of your forked repository.
- Then "update branch" to pull in the changes from this repo.
This approach will help you build familiarity with GitHub, an essential tool in the developer and data analytics community. Additionally, using GitHub will allow you to showcase your work and track your progress.
If you’re a TA or contributing to the course:
- Clone the repo:
git clone https://github.com/Tech-Moms/data-analytics-winter-2025.git
- Create a New Branch:
git checkout -b feature/your-branch-nameSubmit a pull request and tag @alysonla for review.
Please follow our Contribution Guidelines for more details.