From lgtateos at ncsu.edu  Tue Jul 26 14:13:35 2022
From: lgtateos at ncsu.edu (Laura Tateosian)
Date: Tue, 26 Jul 2022 14:13:35 -0400
Subject: [TriPython] Data matters courses
In-Reply-To: <4D5228B9-9DF5-4313-8CE1-324C400A76AB@semanchuk.com>
References: <4D5228B9-9DF5-4313-8CE1-324C400A76AB@semanchuk.com>
Message-ID: <CABCqiHOiNxaMx3Nyt_D8YS1H=SSSat1vNsKZ6u6RfCo-cNOUWA@mail.gmail.com>

Hi all,  These upcoming data science short courses may be of interest to
our members.  They are all synchronous and online, so you don't need to
leave your chair.   On Aug 11-12, I'm giving a course on Python programming
in ArcGIS Pro (the course is titled "Geospatial Analytics").

*Data Matters: Data Science Short Course Series (August 8-12, 2022)*



*Data Matters: Data Science Short Course Series* <http://datamatters.org/> is
a five-day intensive course series for students, researchers, and industry
professionals interested in gaining skills in data science, analytics, and
visualization. This event, co-organized by the Odum Institute
<https://odum.unc.edu/> and RENCI <https://renci.org/>, will be held
*remotely* from August 8 to 12, 2022. Participants are welcome to attend
for one, two, three, or all five days. Registration
<https://datamatters.org/registration/> is open!



<https://datamatters.org/>



*Courses:* <https://datamatters.org/course-descriptions/>



   - Introduction to Effective Information Visualization
   <https://datamatters.org/course-descriptions/>
   - Basics of R for Data Science and Statistics
   <https://datamatters.org/course-descriptions/>
   - Introduction to Programming in R
   <https://datamatters.org/course-descriptions/>
   - Introduction to Programming Using Python
   <https://datamatters.org/course-descriptions/>
   - Exploratory Data Analysis Using R Markdown
   <https://datamatters.org/course-descriptions/>
   - Overview of AI and Deep Learning
   <https://datamatters.org/course-descriptions/>
   - Intermediate Python <https://datamatters.org/course-descriptions/>
   - Introduction to Discrete Choice Modeling in R
   <https://datamatters.org/course-descriptions/>
   - Visualization for Data Science in R
   <https://datamatters.org/course-descriptions/>
   - Deep Learning in Python <https://datamatters.org/course-descriptions/>
   - Introduction to Statistical Machine Learning in R
   <https://datamatters.org/course-descriptions/>
   - Geospatial Analytics <https://datamatters.org/course-descriptions/>



If you have questions, please contact Paul Mihas at Paul_Mihas at unc.edu





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   Hi all,? These upcoming data science short courses may be of interest to
   our members.? They are all synchronous and online, so you don't need to
   leave your chair.? ?On Aug 11-12, I'm giving a course on Python
   programming in ArcGIS Pro (the course is titled "Geospatial Analytics").??

   Data?Matters:?Data?Science Short Course Series (August 8-12, 2022)??

   ?

   [1]Data?Matters:?Data?Science Short Course Series?is a five-day intensive
   course series for students, researchers, and industry professionals
   interested in gaining skills in?data?science, analytics, and
   visualization. This event, co-organized by the?[2]Odum
   Institute?and?[3]RENCI, will be held?remotely?from August 8 to 12, 2022.
   Participants are welcome to attend for one, two, three, or all five
   days.?[4]Registration?is open!?

   ?

   ?

   ?

   [5]Courses:?

   ?

     *?[6]Introduction to Effective Information Visualization?
     *?[7]Basics of R for?Data?Science and Statistics?
     *?[8]Introduction to Programming in R?
     *?[9]Introduction to Programming Using Python?
     *?[10]Exploratory?Data?Analysis Using R Markdown?
     *?[11]Overview of AI and Deep Learning?
     *?[12]Intermediate Python?
     *?[13]Introduction to Discrete Choice Modeling in R?
     *?[14]Visualization for?Data?Science in R?
     *?[15]Deep Learning in Python?
     *?[16]Introduction to Statistical Machine Learning in R?
     *?[17]Geospatial Analytics?

   ?

   If you have questions, please contact Paul Mihas
   at?[18]Paul_Mihas at unc.edu?

References

   Visible links
   1. http://datamatters.org/
   2. https://odum.unc.edu/
   3. https://renci.org/
   4. https://datamatters.org/registration/
   5. https://datamatters.org/course-descriptions/
   6. https://datamatters.org/course-descriptions/
   7. https://datamatters.org/course-descriptions/
   8. https://datamatters.org/course-descriptions/
   9. https://datamatters.org/course-descriptions/
  10. https://datamatters.org/course-descriptions/
  11. https://datamatters.org/course-descriptions/
  12. https://datamatters.org/course-descriptions/
  13. https://datamatters.org/course-descriptions/
  14. https://datamatters.org/course-descriptions/
  15. https://datamatters.org/course-descriptions/
  16. https://datamatters.org/course-descriptions/
  17. https://datamatters.org/course-descriptions/
  18. mailto:Paul_Mihas at unc.edu