IIBA Certification in Business Data Analytics Practice Mode

Community Discussion

Written by other learners. Comments can disagree with the marked answer — check the official documentation when in doubt.

• Chose A1

  A. Supervised learning

• 1

  In summary, predictive learning typically involves supervised learning, especially when the predictions are based on labeled historical data. However, predictive learning is a broader concept that encompasses the use of any technique to make predictions, which can include other methods beyond just supervised learning.

• Chose A2

  Supervised learning not in the guide.... none of the answers are. Research got me to this: 1.3 Bss Data Analytics Objectives: • Predictive: Analyzes past trends in data to provide future insights. Predictive analytics is used to answer the question “What is likely to happen?” • Example: Predicting profit or loss that is likely to happen in the next financial year. Supervised learning is the correct term for this type of study. It involves using historical data where the outcomes are known (in this case, whether customers canceled or renewed their subscriptions) to train a model. The model can then be used to predict the likelihood of cancellation for current customers based on their characteristics and behaviors. Supervised learning = Predictive analytics