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COVID-19 update for ASU events
Events are proceeding where they can follow current university safety guidelines, either online or in-person. Please check event information or contact event organizers for details.
More information at coronavirus.asu.edu/faqs
Data Science Open Lab
Repeats every other Wednesday starting on September 23, 2020 until November 18, 2020
Learn the ins and outs of data science, and get connected with experts, collaborators and compelling projects!
Students, faculty and staff, of all levels and disciplines, are welcome to attend all-virtual open lab workshops offered by the ASU Library's Unit for Data Science and Analytics. Open Lab is an opportunity to network, seek mentors and projects, gain skills and work on real-world problems using data science.
Join us for this biweekly, all-virtual event, every other Wednesday during the Fall 2020 semester: https://asu.zoom.us/j/92034159922.
Sept. 23: Statistics in Data Science
Understand the basic principles of probability and distribution, and identify the significance in hypothesis testing.
Oct. 7: Pattern Recognition
Learn how to draw conclusions from results.
Oct. 21: Data Visualization
Cover techniques and approaches to statistical data visualization, and explore ways to use graphics in both research and presentation.
Nov. 4: Model Selection
Learn how to identify a suitable algorithm and/or modeling technique that is appropriate to the data and problem statement. Pros and cons of various methods will be reviewed, and appropriate applications to use will be explored.
Nov. 18: Introduction to Machine Learning
Learn the concepts of machine learning, using a computer to perform a task.
Online
For More Information Contact:
Kerri Rittschof
ASU Library
kerri.rittschof@asu.edu
Introduction to Python Part 3
“Introduction to Python” workshop series is offered by ASU Library’s Unit for Data Science and Analytics. This workshop is aimed at basic knowledge of Python for those who are just starting out or who have run some programs but would like some refreshers on fundamentals.
Go from zero to 60 in this all-virtual data science workshop aimed at first-time users! Learn how to write your very first line of code by learning how to set up Python on your machine, getting familiar with the language, and participating in an interactive exercise.
Part 1 involved setting up Python on your machine and Part 2 covered data type basics.
Now, in Part 3 we will look at Functions, the essential tools for getting stuff done in Python. We'll examine their component parts and how to understand and use them in your own work.
If you missed Parts 1, 2, or both; or need a refresher; all resources will be provided upon workshop registration.
Online
For More Information Contact:
Kerri Rittschof
Unit for Data Science and Analytics, ASU
kerri.rittschof@asu.edu
https://lib.asu.edu/data
Data Science Open Lab
Repeats every other Wednesday starting on September 23, 2020 until November 18, 2020
Learn the ins and outs of data science, and get connected with experts, collaborators and compelling projects!
Students, faculty and staff, of all levels and disciplines, are welcome to attend all-virtual open lab workshops offered by the ASU Library's Unit for Data Science and Analytics. Open Lab is an opportunity to network, seek mentors and projects, gain skills and work on real-world problems using data science.
Join us for this biweekly, all-virtual event, every other Wednesday during the Fall 2020 semester: https://asu.zoom.us/j/92034159922.
Sept. 23: Statistics in Data Science
Understand the basic principles of probability and distribution, and identify the significance in hypothesis testing.
Oct. 7: Pattern Recognition
Learn how to draw conclusions from results.
Oct. 21: Data Visualization
Cover techniques and approaches to statistical data visualization, and explore ways to use graphics in both research and presentation.
Nov. 4: Model Selection
Learn how to identify a suitable algorithm and/or modeling technique that is appropriate to the data and problem statement. Pros and cons of various methods will be reviewed, and appropriate applications to use will be explored.
Nov. 18: Introduction to Machine Learning
Learn the concepts of machine learning, using a computer to perform a task.
Online
For More Information Contact:
Kerri Rittschof
ASU Library
kerri.rittschof@asu.edu
Data Science Open Lab
Repeats every other Wednesday starting on September 23, 2020 until November 18, 2020
Learn the ins and outs of data science, and get connected with experts, collaborators and compelling projects!
Students, faculty and staff, of all levels and disciplines, are welcome to attend all-virtual open lab workshops offered by the ASU Library's Unit for Data Science and Analytics. Open Lab is an opportunity to network, seek mentors and projects, gain skills and work on real-world problems using data science.
Join us for this biweekly, all-virtual event, every other Wednesday during the Fall 2020 semester: https://asu.zoom.us/j/92034159922.
Sept. 23: Statistics in Data Science
Understand the basic principles of probability and distribution, and identify the significance in hypothesis testing.
Oct. 7: Pattern Recognition
Learn how to draw conclusions from results.
Oct. 21: Data Visualization
Cover techniques and approaches to statistical data visualization, and explore ways to use graphics in both research and presentation.
Nov. 4: Model Selection
Learn how to identify a suitable algorithm and/or modeling technique that is appropriate to the data and problem statement. Pros and cons of various methods will be reviewed, and appropriate applications to use will be explored.
Nov. 18: Introduction to Machine Learning
Learn the concepts of machine learning, using a computer to perform a task.
Online
For More Information Contact:
Kerri Rittschof
ASU Library
kerri.rittschof@asu.edu
Data Science Open Lab
Repeats every other Wednesday starting on September 23, 2020 until November 18, 2020
Learn the ins and outs of data science, and get connected with experts, collaborators and compelling projects!
Students, faculty and staff, of all levels and disciplines, are welcome to attend all-virtual open lab workshops offered by the ASU Library's Unit for Data Science and Analytics. Open Lab is an opportunity to network, seek mentors and projects, gain skills and work on real-world problems using data science.
Join us for this biweekly, all-virtual event, every other Wednesday during the Fall 2020 semester: https://asu.zoom.us/j/92034159922.
Sept. 23: Statistics in Data Science
Understand the basic principles of probability and distribution, and identify the significance in hypothesis testing.
Oct. 7: Pattern Recognition
Learn how to draw conclusions from results.
Oct. 21: Data Visualization
Cover techniques and approaches to statistical data visualization, and explore ways to use graphics in both research and presentation.
Nov. 4: Model Selection
Learn how to identify a suitable algorithm and/or modeling technique that is appropriate to the data and problem statement. Pros and cons of various methods will be reviewed, and appropriate applications to use will be explored.
Nov. 18: Introduction to Machine Learning
Learn the concepts of machine learning, using a computer to perform a task.
Online
For More Information Contact:
Kerri Rittschof
ASU Library
kerri.rittschof@asu.edu
Data Science Open Lab
Repeats every other Wednesday starting on September 23, 2020 until November 18, 2020
Learn the ins and outs of data science, and get connected with experts, collaborators and compelling projects!
Students, faculty and staff, of all levels and disciplines, are welcome to attend all-virtual open lab workshops offered by the ASU Library's Unit for Data Science and Analytics. Open Lab is an opportunity to network, seek mentors and projects, gain skills and work on real-world problems using data science.
Join us for this biweekly, all-virtual event, every other Wednesday during the Fall 2020 semester: https://asu.zoom.us/j/92034159922.
Sept. 23: Statistics in Data Science
Understand the basic principles of probability and distribution, and identify the significance in hypothesis testing.
Oct. 7: Pattern Recognition
Learn how to draw conclusions from results.
Oct. 21: Data Visualization
Cover techniques and approaches to statistical data visualization, and explore ways to use graphics in both research and presentation.
Nov. 4: Model Selection
Learn how to identify a suitable algorithm and/or modeling technique that is appropriate to the data and problem statement. Pros and cons of various methods will be reviewed, and appropriate applications to use will be explored.
Nov. 18: Introduction to Machine Learning
Learn the concepts of machine learning, using a computer to perform a task.
Online
For More Information Contact:
Kerri Rittschof
ASU Library
kerri.rittschof@asu.edu