B5_week1.csv

TERM,CONTEXT
Science,“Science is the pursuit and application of knowledge and understanding of the natural and social world following a systematic methodology based on evidence.”
PPDAC - Problem,
PPDAC - Plan,
PPDAC - Data,
PPDAC - Analysis,
PPDAC - Conclusion,"This step cycles back to 'PPDAC - Problem' because science is an iterative process that creates new questions and directions."
Biological biases,
Cognitive biases,
Confirmation bias,
Availability heuristic,
Anchoring bias,
Dunning- Kruger effect,
Why are statistical and programming knowledge useful for a career in biology?,"1. Biological data is messy and complex. 2. Biology uses BIG data. 3. These skills save lives. 4. These skills will help your career."
Big data in biology,"-omics data, GWAS"
Name a disease that is influenced by many different genetic and environmental factors, 
a priori hypotheses,
Which natural process is most similar to machine learning?, "evolution by natural selection"
How will careers in biology be affected by generative AI?, "The barriers to learning new skills are falling. The need to learn programming and data analysis is greater now than it was in 2020! Some jobs will be automated. Those with the rarest and most useful combination of skills will be sought after."
Data types - continuous/numerical,
Data types - count/integer,
Data types - ordinal,
Data types - categorical,
Data types - binomial,
Null data, "Data missing in a dataset. It is important to appropriately deal with this data depending on the nature of the statistical analysis and experimental design."
tidy data,
R programming - objects,
R programming - functions,
R programming - Rmd file format,
RStudio,
print() in R,