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The ASA/AMATYC committee is organizing a virtual workshop titled "Introduction to Data Science Technology Tools: A Virtual Workshop for Curious Two-Year College Teachers."  The target audience for the workshop is TYC teachers who are curious about data science but have little or no experience with data science technology tools.  The primary workshop goal is to provide participants with a brief overview and opportunity to explore four specific technology tools that are very useful for learning and doing data science: Tableau, R, Python, and GitHub.

This workshop will take place on Tuesday, July 23, 2024 from 12-3pm ET, 9am-12noon PT.  This workshop is free, but is only open to two-year college instructors or teachers who serve primarily students in associate degree programs.  A Zoom link for the workshop will be sent a few days in advance to those who register here: https://forms.gle/ZchyttpS7dsmkhGN8.

The format and schedule for this workshop will be:

1. Welcome (5 minutes)

2. Two-Year Data Science Overview (15 minutes): Discussion of data science in general, with a focus on relevance to two-year colleges

3. Tech Tool Overviews (60 minutes): Fifteen minutes spent on each tech tool, explaining how each it is used within data science courses

4. Break (10 minutes)

5. Guided Exploration (60 minutes): Workshop participants will select a breakout room to explore the technology tool of their choice through a student-facing activity provided by the presenter

6. Exploration Q&A (15 minutes): Time for breakout room participants to ask questions about classroom implementation 

7. Overall Q&A (15 minutes): Reconvene in the main room to ask big-picture questions about data science in the context of two-year colleges

Workshop presenters will be:

• Overview of data science at two-year colleges: Kelly Fitzpatrick, County College of Morris (NJ)

• Tableau: Rachel Saidi, Montgomery College (MD)

• R: Maria Tackett, Duke University (NC)

• Python: Hunter Glanz, Cal Poly - San Luis Obiospo (CA)

• GitHub: Tyler George, Cornell College (IA)

Please help to spread the word about this workshop to two-year college instructors who might be interested.  Thanks very much,

Allan Rossman

Chair, ASA/AMATYC Committee on Statistics and Data Science

arossman@calpoly.edu

Hi, do we need to have used these tools - Tableau, R, Python, and GitHub? Or do we need to make accounts? I am completely new, have not even played with python, though I have done programming in my past career.

Thanks,

The ASA/AMATYC committee is organizing a virtual workshop titled "Introduction to Data Science Technology Tools: A Virtual Workshop for Curious Two-Year College Teachers."  The target audience for the workshop is TYC teachers who are curious about data science but have little or no experience with data science technology tools.  The primary workshop goal is to provide participants with a brief overview and opportunity to explore four specific technology tools that are very useful for learning and doing data science: Tableau, R, Python, and GitHub.

This workshop will take place on Tuesday, July 23, 2024 from 12-3pm ET, 9am-12noon PT.  This workshop is free, but is only open to two-year college instructors or teachers who serve primarily students in associate degree programs.  A Zoom link for the workshop will be sent a few days in advance to those who register here: https://forms.gle/ZchyttpS7dsmkhGN8.

The format and schedule for this workshop will be:

1. Welcome (5 minutes)

2. Two-Year Data Science Overview (15 minutes): Discussion of data science in general, with a focus on relevance to two-year colleges

3. Tech Tool Overviews (60 minutes): Fifteen minutes spent on each tech tool, explaining how each it is used within data science courses

4. Break (10 minutes)

5. Guided Exploration (60 minutes): Workshop participants will select a breakout room to explore the technology tool of their choice through a student-facing activity provided by the presenter

6. Exploration Q&A (15 minutes): Time for breakout room participants to ask questions about classroom implementation 

7. Overall Q&A (15 minutes): Reconvene in the main room to ask big-picture questions about data science in the context of two-year colleges

Workshop presenters will be:

• Overview of data science at two-year colleges: Kelly Fitzpatrick, County College of Morris (NJ)

• Tableau: Rachel Saidi, Montgomery College (MD)

• R: Maria Tackett, Duke University (NC)

• Python: Hunter Glanz, Cal Poly - San Luis Obiospo (CA)

• GitHub: Tyler George, Cornell College (IA)

Please help to spread the word about this workshop to two-year college instructors who might be interested.  Thanks very much,

Allan Rossman

Chair, ASA/AMATYC Committee on Statistics and Data Science

arossman@calpoly.edu