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Now Registering: Career Development Workshop 2025, June 23 – free and open to all STEMM researchers (high school through experienced faculty/staff)
Bioinformatics and Data Science
Two courses that can be attended in-person at the University of South Carolina in Columbia, SC or virtual (synchronous). Courses are free for all affiliate members of SC INBRE.
Workshop at capacity. Registration now closed. Email scinbre@gmail.com to be added to the waiting list.
Machine Learning in Python, June 3-14Â
Data Analytics in R, July 8-19
Workshop Materials
Agendas
Machine Learning
in Python
M, June 3
10 to 11 am
Intro to Cloud Computing
11 am to 12 pm
Basic Python
2 to 3 pm
Office Hour
T, June 4
10 to 11 am
Control statements
11 am to 12 pm
Iterators and arrays
2 to 3 pm
Office Hour
W, June 5
10 to 11 am
Numerical Data with NumPy
11 am to 12 pm
Examples
2 to 3 pm
Office Hour
Th, June 6
10 to 11 am
Data Frames with Pandas
11 am to 12 pm
Examples
2 to 3 pm
Office Hour
F, June 7
10 to 11 am
Visualization with MatPlotLib
11 am to 12 pm
Examples
2 to 3 pm
Office Hour
M, June 10
10 to 11 am
Random Number Generators
11 am to 12 pm
Multivariate random numbers
2 to 3 pm
Office Hour
T, June 11
10 to 11 am
K-Means
11 am to 12 pm
KNN
2 to 3 pm
Office Hour
W, June 12
10 to 11 am
Decision Tree
11 am to 12 pm
Random Forest
2 to 3 pm
Office Hour
Th, June 13
10 to 12 pm
Artificial Neural Networks
2 to 3 pm
Office Hour
F, June 14
10 to 12 pm
Artificial Neural Networks
2 to 3 pm
Office Hour
Data Analytics
in R
M, July 8
10 to 11 am
Introduction to R, R Studio & web APIs for R
11 am to 12 pm
Basic R
2 to 3 pm
Office Hour
T, July 9
10 to 11 am
Data structure
11 am to 12 pm
Control statements
2 to 3 pm
Office Hour
W, July 10
10 to 11 am
Functions in R
11 am to 12 pm
Examples
2 to 3 pm
Office Hour
Th, July 11
10 to 11 am
Data Wrangling
11 am to 12 pm
Examples
2 to 3 pm
Office Hour
F, July 12
10 to 11 am
Data Visualization
11 am to 12 pm
Examples
2 to 3 pm
Office Hour
M, July 15
10 to 11 am
K-Means
11 am to 12 pm
KNN
2 to 3 pm
Office Hour
T, July 16
10 to 11 am
Supervised Learning in R
11 am to 12 pm
Regression/Decision Tree
2 to 3 pm
Office Hour
W, July 17
10 to 11 am
RandomForest
11 am to 12 pm
Tuning parameters or hyperparameters of the model
2 to 3 pm
Office Hour
Th, July 18
10 to 11 am
Dimension Reduction/PCA
11 am to 12 pm
Clustering by R
2 to 3 pm
Office Hour
F, July 19
10 to 11 am
Nonparametric statistics
11 am to 12 pm
Artificial Neural Networks in R
2 to 3 pm
Office Hour
Page updated June 3, 2024
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