Common terminology

Based upon personal experience, research, and various industry experts' advice, someone delving into the art of data science should take every opportunity to understand and gain experience as well as proficiency with the following list of common data science terms:

• Statistical population
• Probability
• False positives
• Statistical inference
• Regression
• Fitting
• Categorical data
• Classification
• Clustering
• Statistical comparison
• Coding
• Distributions
• Data mining
• Decision trees
• Machine learning
• Munging and wrangling
• Visualization
• D3
• Regularization
• Assessment
• Cross-validation
• Neural networks
• Boosting
• Lift
• Mode
• Outlier
• Predictive modeling
• Big data
• Confidence interval
• Writing