9 Major Tasks in Data Science

Most problems in Data Science can be grouped under these 9 broad tasks. Of course some problems can also be classified under one or more of these tasks.

• Classification (Class probability estimation)
• Regression (Numerical value estimation)
• Similarity Matching (Recommendation systems)
• Clustering 
• Co-occurrence grouping (Market basket analysis or associative rule mining)
• Profiling
• Link Prediction (Graphs or networks)
• Data Reduction (Dimensionality Reduction : PCA, SVD, Factor Analysis)
• Casual Modeling (Cause and effect pairs or groups)

Adapted from Data Science for Business