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All Categories (1-15 of 15)

1. Introduction to Python for Data Science Course

   05 Nov 2018 | Teaching Materials

   Free Introduction to Python for Data Science Course at DataCamp

   https://qubeshub.org/qubesresources/publications/915/?v=1

2. Introduction to R Course

   05 Nov 2018 | Teaching Materials

   Free Introduction to R Course at DataCamp

   https://qubeshub.org/qubesresources/publications/914/?v=1

3. DataCamp

   05 Nov 2018 | Teaching Materials

   DataCamp: The Easiest Way to Learn Data Science Online

   https://qubeshub.org/qubesresources/publications/913/?v=1

4. 

   Diqui LaPenta

   https://qubeshub.org/community/members/8022

5. 

   Carolyn Wetzel

   Present faculty position at Holyoke Community College (Professor of Biology);Former faculty positions at East Tennessee State University, Smith College;Postdoc Iowa State University Dept of Botany...

   https://qubeshub.org/community/members/7782

6. 

   Hilary P Engebretson

   https://qubeshub.org/community/members/7707

7. How to create "funny symbols" (aka math / statistical notation) in Microsoft Word / Office

   10 Apr 2018 | Teaching Materials | Contributor(s):

   By Laura Harris

   Davenport University

   YouTube video on using statistical notation in Microsoft Word.

   https://qubeshub.org/qubesresources/publications/459/?v=1

8. Visual Datasets

   29 Jan 2018 | Teaching Materials | Contributor(s):

   By Ethel Stanley

   Three Rivers College/BioQUEST/SCN

   This downloadable module features imaginary animals and plants, and is meant to aid students in thinking about questions of evolution, classification, and phylogeny.

   https://qubeshub.org/qubesresources/publications/345/?v=1

9. 

   Claire Wilson

   My name is Claire and I joined the American Society for Microbiology (ASM) in July 2017.  As a Coordinator in the Education Department, I support our online courses (student and faculty)...

   https://qubeshub.org/community/members/5958

10. Free Introduction to Python for Data Science Course at DataCamp

    out of 5 stars 

    06 Nov 2016 | | Contributor(s):: Drew LaMar

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/915Python is a general-purpose programming language that is becoming more and more popular for doing data science. Companies worldwide are using Python to harvest insights from...

11. Free Introduction to R Course at DataCamp

    out of 5 stars 

    06 Nov 2016 | | Contributor(s):: Drew LaMar

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/914In this introduction to R, you will master the basics of this beautiful open source language, including factors, lists and data frames. With the knowledge gained in this...

12. DataCamp

    out of 5 stars 

    06 Nov 2016 | | Contributor(s):: Drew LaMar

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/913The Easiest Way to Learn Data Science OnlineMaster data analysis from the comfort of your browser, at your own pace, tailored to your needs and expertise. Whether...

13. 

    Tony Sena

    - M.S., COMPUTER SCIENCE (Distributed and Parallel Computing), from Northeastern University, Boston, MA- M.S., EARTH SCIENCE (Parallel Computing applied to Geophysics), from Massachusetts Institute...

    https://qubeshub.org/community/members/1506

14. MathBench Biology Modules

    out of 5 stars 

    13 Mar 2015 | | Contributor(s):: Katerina V. Thompson, Kären C. Nelson, Gili Marbach-Ad, Michael Keller, William F. Fagan, Patricia A. Shields

    Modules designed to help students understand the math behind the material learned in introductory ecology courses. 

15. BioQUEST: Visual Datasets

    out of 5 stars 

    13 Mar 2015 | | Contributor(s):: Ethel Stanley

    This resource has been updated - find the current version here: https://qubeshub.org/publications/345This downloadable module features imaginary animals and plants, and is meant to aid students in thinking about questions of evolution, classification, and phylogeny.