Docs - Replacing Slack References

docs/analytics_new_analysts/overview.md

@@ -2,7 +2,7 @@
 
 # Tutorials for New Python Users
 
-This section is geared towards data analysts who are new to Python. The following tutorials highlight the most relevant Python skills used at Cal ITP. Use them to guide you through completing [practice exercises #1-9](https://github.com/cal-itp/data-analyses/tree/main/starter_kit).
+This section is geared towards data analysts who are new to Python. The following tutorials highlight the most relevant Python skills used at Cal ITP. Use them to guide you through completing [the exercises in our `starter_kit` repo.](https://github.com/cal-itp/starter_kit).
 
 ## Content
 

docs/analytics_onboarding/overview.md

@@ -9,17 +9,12 @@
 - See below for list of our collaboration and analysis tools.
 - As part of your onboarding, privileges have already been created for you to access the resources below.
 
-**Non-Analyst Team Members**
-
-- Any of the tools below are available to you as well!
-
 **If you still need help with access**, use the information at the bottom of this page to [**get help**](get-help).
 :::
 **Collaboration Tools:**
 
-- [ ] [**Slack**](https://cal-itp.slack.com) | ([Docs](slack-intro))
-- [ ] [**Analytics Repo**](https://github.com/cal-itp/data-analyses) | ([Docs](analytics-repo))
-- [ ] [**Analyst Project Board**](https://github.com/cal-itp/data-analyses/projects/1)
+- [ ] Microsoft Teams
+- [ ] [**Analytics Repo**](https://github.com/cal-itp/data-analyses) | ([Docs](how-we-work))
 - [ ] [**Google Cloud Storage**](https://console.cloud.google.com/storage/browser/calitp-analytics-data) | ([Docs](storing-new-data))
 
 **Analytics Tools:**
@@ -33,7 +28,7 @@
 **Python Libraries:**
 
 - [ ] [**calitp-data-analysis**](https://github.com/cal-itp/data-infra/tree/main/packages/calitp-data-analysis/calitp_data_analysis) - Cal-ITP's internal Python library for analysis | ([Docs](calitp-data-analysis))
-- [ ] [**siuba**](https://siuba.org/) - Recommended data analysis library | ([Docs](siuba))
+- [ ] [**siuba**](https://siuba.org/) - Data analysis library we use to query data from the warehouse| ([Docs](siuba))
 - [ ] [**shared_utils**](https://github.com/cal-itp/data-analyses/tree/main/_shared_utils) - A shared utilities library for the analytics team | ([Docs](shared-utils))
 
 **Caltrans Employee Resources:**

docs/analytics_tools/jupyterhub.md

@@ -38,7 +38,7 @@ This avoids the need to set up a local environment, provides dedicated storage,
 
 JupyterHub currently lives at [notebooks.calitp.org](https://notebooks.calitp.org/).
 
-Note: you will need to have been added to the Cal-ITP organization on GitHub to obtain access. If you have yet to be added to the organization and need to be, ask in the `#services-team` channel in Slack.
+**Note**: you need be added to the Cal-ITP organization on GitHub to use JupyterHub. Tag Evan Siroky on the `Data Analysis` channel on Teams to ask for access.
 
 (default-user-vs-power-user)=
 

docs/analytics_tools/tools_quick_links.md

@@ -7,7 +7,6 @@
 | Tool                                                                                               | Purpose                                 |
 | -------------------------------------------------------------------------------------------------- | --------------------------------------- |
 | [**Analytics Repo**](https://github.com/cal-itp/data-analyses)                                     | Analytics team code repository.         |
-| [**Analytics Project Board**](https://github.com/cal-itp/data-analyses/projects/1)                 | Analytics team list of active issues.   |
 | [**notebooks.calitp.org**](https://notebooks.calitp.org/)                                          | JupyterHub cloud-based notebooks        |
 | [**dashboards.calitp.org**](https://dashboards.calitp.org/)                                        | Metabase dashboards & Business Insights |
 | [**dbt-docs.calitp.org**](https://dbt-docs.calitp.org/)                                            | DBT warehouse documentation             |
@@ -18,5 +17,5 @@
  
 
 ```{admonition} Still need access to a tool on this page?
-Ask in the `#services-team` channel in the Cal-ITP Slack.
+Ask in the `Data Analysis` channel on Teams.
 ```

docs/analytics_welcome/how_we_work.md

@@ -11,26 +11,39 @@ The section below outlines our team's primary meetings and their purposes, as we
 
 **New analysts**, look out for these meetings to be added to your calendar.
 
-| Name                     | Cadence              | Description                                                                  |
-| ------------------------ | -------------------- | ---------------------------------------------------------------------------- |
-| **Technical Onboarding** | Week 1 <br/> 40 Mins | To ensure access to tools and go over best practices.                        |
-| **Analyst Team Meeting** | Thurs <br/> 45 Mins  | Branch meeting to share your screen and discuss what you've been working on. |
+| Name                                | Cadence                            | Description                                                                                                         |
+| ----------------------------------- | ---------------------------------- | ------------------------------------------------------------------------------------------------------------------- |
+| **Technical Onboarding**            | Week 1 <br/> 40 Mins               | To ensure access to tools and go over best practices.                                                               |
+| **Analyst Data Roundtable Meeting** | Thursday, Weekly <br/> 50 Mins     | Branch meeting to share your screen and discuss what you've been working on.                                        |
+| **Analyst Administrative Meeting**  | Wednesday, Bi-Weekly <br/> 25 Mins | Branch meeting for administrative updates every other Wednesday.                                                    |
+| **Team Social Meeting (Optional)**  | Wednesday, Bi-Weekly <br/> 60 Mins | Due to the geographic spread of our branch, every other Wednesday we get together for an optional hour of chatting. |
 
 (slack-intro)=
 
-## Communication Channels
+## Teams Communication Channels
+
+When communicating with Caltrans coworkers, we use Teams. The message retention policy for Teams is not permanent. [Open up a GitHub Issue](https://github.com/cal-itp/data-analyses/issues) with the appropriate template for any posts you make on the **Data Analysis** and **Data Office Hours** channels that are worth keeping for posterity's sake and/or are lengthy and complex in nature.
+
+| Channel                | Purpose    | Description                                                                |
+| ---------------------- | ---------- | -------------------------------------------------------------------------- |
+| #**General**           | Discussion | For all employees in Caltrans Division of Data and Digital Services (DDS). |
+| #**Data Analysis**     | Discussion | For sharing and collaborating on data analyses.                            |
+| #**Data Office Hours** | Discussion | A place to bring questions, issues, and observations for team discussion.  |
+| #**Data Science**      | Discussion | For all employees in DDS's Data Science Branch.                            |
+
+## Slack Communication Channels
+
+When working with contractors, we use Slack.
 
 | Channel                  | Purpose    | Description                                                                                 |
 | ------------------------ | ---------- | ------------------------------------------------------------------------------------------- |
-| #**ct-bdat-internal**    | Discussion | For Caltrans Division of Data and Digital Services employees.                               |
-| #**data-analysis**       | Discussion | For sharing and collaborating on Cal-ITP data analyses.                                     |
-| #**data-office-hours**   | Discussion | A place to bring questions, issues, and observations for team discussion.                   |
 | #**data-warehouse-devs** | Discussion | For people building dbt models - focused on data warehouse performance considerations, etc. |
+| (analytics-repo)=        |            |                                                                                             |
 
-(analytics-repo)=
-
-### GitHub Analytics Repo
+## GitHub Analytics Repo
 
 The `data-analyses` repo is our main data analysis repository, for sharing quick reports and works in progress. Get set up on GitHub and clone the data-analyses repository [using this link](saving-code-jupyter).
 
 For collaborative short-term tasks, create a new folder and work off a separate branch.
+
+For large and long-term projects, create a whole new repo.

docs/analytics_welcome/what_is_calitp.md

@@ -17,3 +17,7 @@ A selection of resources taken from the above document providing background on t
 - [Market Sounding](https://dot.ca.gov/-/media/dot-media/cal-itp/documents/final-cal-itp-market-sounding-market-response-summary-103119b-a11y.pdf): This 2019 market sounding laid the foundation for our current priorities. It was followed up with a business case analysis of the project in a [Feasibility Study](https://dot.ca.gov/-/media/dot-media/cal-itp/documents/calitp-feasibility-study-042420-a11y.pdf).
 - This [project framework orientation deck](https://docs.google.com/presentation/d/1zsEp2KoKyPlE34AJyqBPeSdv_ySYd6n-zcmrkdTftgo/edit) highlights some of the history of Cal-ITP,  how it came to be, and the problems it is trying to solve.
 - [The 2022 roadmap deck](https://docs.google.com/presentation/d/11DgqhoEqDUFJLTo71OkyWVtpih9-HzUF33DPT6M59N4/edit?usp=sharing) presents our 2022 milestones, projects, and collaboration teams “looking forward” for the year.
+
+## How Cal-ITP relates to DDS
+
+- Copy here.

docs/publishing/sections/5_analytics_portfolio_site.md

@@ -6,11 +6,11 @@ Now that your notebook(s) are portfolio-ready, it's time to publish your work to
 
 ## Netlify Setup
 
-Netlify is the platform turns our Jupyter Notebooks uploaded to GitHub into a full website.
+Netlify is the platform turns our Jupyter Notebooks uploaded to GitHub into a webpage.
 
-To setup your netlify key:
+**To setup your netlify key:**
 
-- Ask in Slack/Teams for a Netlify key if you don't have one yet.
+- Ask on the Teams `Data Analysis` channel for a Netlify key if you don't have one yet.
 - If you already have your Netlify key set up, find it by typing `cat ~/.bash_profile` into the root of your repo.
 - Install netlify: `npm install -g netlify-cli`
 - Navigate to your main directory