This module series was developed as a standalone web-based overview of research methods combined with a Python coding bootcamp for students majoring in the Biomedical or Behavioral Sciences. Although presented in a video format, each module contains activity prompts that may ask students to pause and discuss a topic, complete a short written activity, or perform a coding exercise. While working through the modules, students will use their newly acquired skills to create an online survey to collect data, then analyze and visualize it using Python.
Watch Video
Activity Worksheet
Python Notebook
Dataset
This is the first module in the series that contains a Python notebook. In order to work on these kinds of coding notebooks, open them first by clicking on the link (such as Module2.ipynb) and then save them in your drive by clicking the 'File' button on the left hand side and choosing 'Save a copy in Drive' option. In order to do this, you will need a google drive account. Once they are in your own drive, you can start working on notebooks. You can always repeat this process to get back to an original notebook. The original notebooks in the links cannot be edited. This way you cannot change them and always have access to the original.
Watch Video
Activity Worksheet
Python Notebook
Datasets
NoDrug_Exp1NoDrug_Exp2NoDrug_Exp3
Drug25uM_Exp1Drug25uM_Exp2Drug25uM_Exp3
Drug50uM_Exp1Drug50uM_Exp2Drug50uM_Exp3
Please fill out this feedback survey about your experience: Survey
Completing this module series is a great achievement, and worthy of announcement! We would love for you to take a screenshot or snippet of some of the infographic work you did and post it to your social media platforms. Please use the following hashtags and tag us in your posts!
| Hashtags #ScienceIsFunwithMARC #BrooklynCollegeCASE #BCDataChallenge |
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Copyright (c) 2021, Project Authors: Louise Hainline, Ph.D., Alla Chavarga, Ph.D., Tugce Bilgin, Ph.D. All Rights Reserved.