Data School Roundup - March 7-13, 2022

We're now multilingual! Our German team is posting in both German and English. Even more content to keep you learning. Here's the roundup for March 7-13, 2022.

Tableau

1. Saving Workbook in Tableau: TWB vs TWBX - What's the difference? by Jia Yan Ng
2. Create a drill down bar graph using set actions: a step-by-step tutorial by Nhung Le
3. Top 10 Tableau Tips & Tricks I wish I had known during my application process by Giorgia Astheimer
4. Add your own color palettes in Tableau by Nhung Le
5. Using parameters to highlight values in Tableau by Nathan Purvis
6. Visualizing Rat Sightings in New York Subways Using Alteryx and Tableau by Kristine Wiesner
7. Airplane routes: Alteryx & Tableau by Romina Wiechern
8. Intersecting Spatial Data in Tableau and Alteryx by Frederik Egervari
9. Create your own custom shapes in Tableau by Nhung Le
10. Those Scary LODs by Marina Ustinova
11. What is Cohort Analysis? by Trupti Dongaonkar
12. Word Clouds In Tableau by Ricky Cai

Tableau Prep

1. An introduction to dirty data and cleaning in Tableau Prep by Carlos Pacheco

Alteryx

1. 7 tips for Alteryx beginners by Skomantas Tamulaitis
2. 3 simple but useful Alteryx features by John Power
3. DS30 Week One: getting to grips with Alteryx by Caitlin Walsh
4. A Beginner's Guide to Web Scraping using Alteryx by James Charnley
5. The first Alteryx fix by Fergus Smith
6. Connecting the Dots In Alteryx by Mary-Leena Tchenkoue
7. Visualizing Rat Sightings in New York Subways Using Alteryx and Tableau by Kristine Wiesner
8. Airplane routes: Alteryx & Tableau by Romina Wiechern
9. How to Create Heatmaps in Alteryx by Tram Nguyen
10. Intersecting Spatial Data in Tableau and Alteryx by Frederik Egervari
11. The Alteryx Advanced Certification by Frederik Egervari
12. RegEx output methods in Alteryx by Nhung Le

Other

1. Being Proactive & Organised: Lessons learned during my first week at the Data School by Valerie Madojemu
2. Blog Marathon for a week dairy- a self-challenge and things learnt by Nhung Le
3. What does “lazy” and “greedy” terminology mean in the context regular expression? by Tram Nguyen
4. It’s Project Time again! by Nhung Le
5. How I successfully entered the Data School Germany by Kristine Wiesner
6. Der Weg in die Data School by Tanya Fischer
7. A day in the life of a Data Schooler by Tanya Fischer
8. The first month in Data School by Romina Wiechern
9. Mein erstes Projekt @ Data School by Tram Nguyen
10. Applying for an analyst position even if you don't know the main program at all? Yes, it is possible! by Nhung Le
11. Failure Is A Good Teacher by Kristine Wiesner

From the Coaches

1. What did it take to get into DSAU13? by Natalia Miteva
2. Meet the Team - Romina Wiechern
3. Meet the Team - Tram Nguyen