Vrije Universiteit Amsterdam (VU) • Business Analytics
Meest recente samenvattingen voor de opleiding Business Analytics op de Vrije Universiteit Amsterdam (VU). Op zoek naar een samenvatting voor Business Analytics? Wij hebben diverse samenvattingen voor de opleiding Business Analytics op de Vrije Universiteit Amsterdam (VU).
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Vakken Business Analytics op de Vrije Universiteit Amsterdam (VU)
Er zijn samenvattingen beschikbaar voor de volgende vakken van Business Analytics op Vrije Universiteit Amsterdam (VU)
Populaire samengevatte boeken Vrije Universiteit Amsterdam (VU) • Business Analytics
Sanjoy Dasgupta, Christos H. Papadimitriou • ISBN 9780073523408
Steven Strogatz, Steven H Strogatz • ISBN 9780813349107
Sheldon M. Ross, Sheldon Ross • ISBN 9781292024929
Fetsje Bijma, Marianne Jonker • ISBN 9789462985100
Robert A. Adams, Christopher Essex • ISBN 9780321549280
Nieuwste samenvattingen Vrije Universiteit Amsterdam (VU) • Business Analytics
This summary is about all papers you need to read for the course business intelligence and analytics.
Samenvatting History Of Science lectures + syllabus Week 1 -6
This summary covers an extensive yet informative summary of the articles covered between week 1 and week 5 of the course BIA. This summary excludes the articles of week 6 as they are better summarised in the lecture
College aantekeningen Machine Learning Week 1 - 5 (2 colleges per week)
This summary contains all material (including examples) discussed in the course Calculus 2 for Business Analytics students of the Vrije Universiteit Amsterdam. This is all context for the whole course and is checked by the professor when I participated in the course. It helped me to get a high grade and even teach this course last year! I also adjusted/clarified some things when I thought this course last year, so I hope it will help you too! :) The chapters included are: 9.1, 9.2, 9.3, 9.4, 9.5...
This summary contains all material (including examples) discussed in the course Calculus 1 for Business Analytics students of the Vrije Universiteit Amsterdam. This is all context for the whole course and is checked by the professor when I participated in the course. It helped me to get a high grade and even teach this course last year! I also adjusted/clarified some things when I thought this course last year, so I hope it will help you too! :)
The chapters included are: P1, P2, P3, P4, P5, P6,...
This summary contains all theory covered in the lectures and 2020 syllabus in the SDA course for Business Analytics, Math and Econometrics students at the Vrije Universiteit Amsterdam. It helped me to pass this exam with a 8.5, so I hope it will be as much helpful for you as it was for me! The chapters included are: 2 (summarising data), 3 (exploring distributions), 4 (density estimation), 5 (bootstrap), 6 (nonparametric methods), 7 (analysis of categorical data) and 8 (linear regression).
This summary contains all material (including examples) discussed in the second seven weeks of the course Linear Algebra for Business Analytics students of the Vrije Universiteit Amsterdam. This is all context for the final exam and helped me to get a high grade and even teach this course! The chapters included are: 5.1, 5.2, 5.3, 5.4, 5.5, 5.6, 6.1, 6.2, 6.3, 6.4, 6.5, 6.6, 6.7, 7.1, 7.4
This summary contains all material (including examples) discussed for the midterm of Probability Theory for Business Analytics and Math students of the Vrije Universiteit Amsterdam. The chapters included are: 2.2, 2.3, 2.4, 2.5, 3.2, 3.3, 3.4, 3.5, 4.1, 4.2, 4.3, 4.4, 4.5, 4.6, 4.7, 4.8, 4.10, 5.1, 5.2, 5.3, 5.4
This summary contains all material (including examples) discussed in the first seven weeks of the course Linear Algebra for Business Analytics students of the Vrije Universiteit Amsterdam. 
This is all context for the first midterm and helped me to get a high grade and even teach this course! The chapters included are: 1.1, 1.2, 1.3, 1.4, 1.5, 1.7, 1.8, 1.9, 2.1, 2.2, 2.3, 2.5, 3.1, 3.2, 3.3, 4.1, 4.2, 4.3, 4.4, 4.5, 4.6 & 4.7.
(I'm sorry I found out there was one mistake in 2.1: A=mxn , B = nxp...