BE/Bi 103 a: Introduction to Data Analysis in the Biological Sciences ===================================================================== Modern biology is a quantitative science, and biological scientists need to be equipped with tools to analyze quantitative data. This course takes a hands-on approach to developing these tools. Together, we will analyze real data. We will learn how to organize, preserve, and share data sets, create informative interactive graphical displays of data, process images to extract actionable data, and perform basic resampling-based statistical inferences. Importantly, biological data is often "messy" and there is no one right way to perform an analysis or make a plot. As we work with data, we will discuss various approaches to get a feel for the art of biological data analysis. The sequel to this course goes deeper into statistical modeling, mostly from a Bayesian perspective. This course is foundational for that and further studies in analysis of biological data. If you are enrolled in the course, please read the :ref:`Course policies` below. We will not go over them in detail in class, and it is your responsibility to understand them. Useful links ------------- - `Ed `_ (used for course communications) - `Course Zoom link `_ (password protected) - `Video recordings `_ (password protected) - `Google doc for help queue `_ (password protected) - `Homework solutions `_ (password protected) During lab and homework help sessions, we will break out into different Zoom sessions headed by various course staff members. Their individual Zoom links are accessible below. People ------ - Instructor + `Justin Bois `_ (`bois at caltech dot edu`, `Zoom `_) - TAs + Michelle Cua (`ecua at caltech dot edu`, `Zoom `_) + Rosita Fu (`rfu at caltech dot edu`, `Zoom `_) + Sanjana Kulkarni (`skulkarn at caltech dot edu`, `Zoom `_) + Liana Merk (`lmerk at caltech dot edu`, `Zoom `_) + Sophie Miller (`semiller at caltech dot edu`, `Zoom `_) + Ankita Roychoudhury (`aroychou at caltech dot edu`, `Zoom `_) .. toctree:: :maxdepth: 1 :caption: Lessons lessons/00/index lessons/01/cycle_of_science lessons/02/index lessons/03/index lessons/04/style.ipynb lessons/05/index lessons/06/index lessons/07/data_storage_and_sharing lessons/08/index lessons/09/index lessons/10/overplotting.ipynb lessons/11/index lessons/12/index lessons/13/random_number_generation.ipynb lessons/14/index lessons/15/index lessons/16/index lessons/17/index lessons/18/index lessons/19/index lessons/20/index lessons/21/reproducible_workflows.rst lessons/22/paper_of_the_future.rst lessons/23/mixture_models.ipynb lessons/24/index lessons/25/index .. toctree:: :maxdepth: 1 :caption: Recitations recitations/01/index recitations/02/git_and_github_tips.ipynb recitations/03/time_series.ipynb recitations/04/manipuluating_dfs.ipynb recitations/05/index recitations/06/probability_review.ipynb recitations/07/topics_in_bootstrapping.ipynb recitations/08/index recitations/09/index .. toctree:: :maxdepth: 1 :caption: Homework homework/00/index homework/01/index homework/02/index homework/03/index homework/04/index homework/05/index homework/06/index homework/07/index homework/08/index homework/09/index 10. Course feedback .. toctree:: :maxdepth: 1 :caption: Schedule schedule .. toctree:: :maxdepth: 1 :caption: Policies policies