Practice · BI & Data Science
334 questions in the bank · 0 still open in the error log · 0 due for review
Chapters
Every chapter included.
Difficulty
Pool
How to run it
211 questions match. No clock.
Chapter tests
Every bank question of one chapter, graded out of its marks.
| Chapter | Questions | Marks | Start |
|---|---|---|---|
| What business intelligence and data science are | 10 | 29 | |
| Charts, maps and dashboards | 10 | 30 | |
| Linear programming: turning a business problem into a model | 11 | 31 | |
| Integer, binary and mixed-integer programming | 10 | 30 | |
| Non-linear programming and the evolutionary solver | 10 | 30 | |
| What machine learning is | 10 | 29 | |
| Clustering: finding groups without labels | 10 | 30 | |
| k-Nearest Neighbours | 10 | 30 | |
| Section B only: decision trees, entropy and information gain | 10 | 31 | |
| Logistic regression, and how to judge a classifier | 13 | 37 | |
| Bayes' theorem and Bayesian networks | 11 | 33 | |
| Recommender systems and collaborative filtering | 12 | 34 | |
| R: objects, vectors and data frames | 12 | 33 | |
| R: cleaning, aggregating and plotting | 12 | 33 | |
| Market basket analysis and association rules | 12 | 34 | |
| Principal component analysis | 12 | 33 | |
| Multiple linear regression and reading summary(lm) | 12 | 33 | |
| Classification in R, end to end | 12 | 33 | |
| Monte Carlo simulation and forecasting new products | 12 | 33 |
BI & Data Science analytics
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Mastery by subject
| Subject | Band | Readiness | Chapters started |
|---|---|---|---|
| BI & Data Science | Not started | — | 0 of 19 |