None

1. Anaconda3 (for python3 notebooks) with the following packages:
   • adjusttext - can install using pip install adjusttext
2. R with the following packages:
   • FactoMineR - install.packages("FactoMineR") and factoextra - install.packages("factoextra")
   • XGR - install.packages("XGR")
   • pwr - install.packages("pwr")
3. Any spreadsheet software (optional)

1. Tests of significance and correlations
2. Dealing with uncertainty from raw experimental data and linear regression
3. Big data sets and dimension reduction methods, multiple testing and power calculations
4. Logistic regression

• Python Tutorial
• 10 Minutes to Pandas
• Nature Methods Points of Significance Column
• Principal Component Methods in R: Practical Guide
• Power analysis in R