WEC-33806
Data Science
for
Ecology
Week 1
Working with tidy data
1 Introduction to tidyverse
2 Visualizing data using ggplot2
3 Data wrangling using dplyr
4 Data wrangling with the pipe
5 Relational data
Week 2
Tidying, modelling, and more
6 Tidying data using tidyr
7 Text, time, functions & iteration
8 Modelling data
9 Tidymodels
10 Reproducible research
Week 3
Time series analyses
11 Data preparation and exploration
12 Unsupervised learning
13 Supervised learning
Week 4
Image analyses
14 Preparing images for analyses
15 Understanding CNNs
16 Fitting CNNs using Keras
Week 5 & 6
Data challenges
Other
Brightspace
Installing R - an alternative way
Data scienc memes & more
Appendix A - From hex to integer
Appendix B - Test exercises
Appendix C - Computing turning angles
Appendix D - Classifying iris flowers
Appendix E - Indexing and control structures
Appendix F - Installing Keras
WUR
|
WEC
|
CSA
|
PPS
|
GRS
Data science memes & more
Data science vs statistics
Project management
Class imbalance
Thus: document your work while you are working on it!
Overfitting
Working with datetimes
k-means clustering
Image classification
