Acerca de este Curso

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100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Aprox. 20 horas para completar
Inglés (English)
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Aprox. 20 horas para completar
Inglés (English)

ofrecido por

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National Research University Higher School of Economics

Comienza a trabajar para obtener tu maestría

This curso is part of the 100% online Master of Data Science from National Research University Higher School of Economics. If you are admitted to the full program, your courses count towards your degree learning.

Programa - Qué aprenderás en este curso

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Semana
1

Semana 1

3 horas para completar

Basic Combinatorics

3 horas para completar
13 videos (Total 44 minutos), 4 lecturas, 12 cuestionarios
13 videos
Rule of Sum3m
Convenient Language: Sets2m
Generalizing Rule of Sum1m
Recursive Counting: Number of Paths3m
Rule of Product5m
Number of Tuples2m
Set Language for Tuples2m
Licence Plates2m
Tuples with Restrictions2m
Permutations4m
Unordered Pairs3m
Combinations7m
4 lecturas
Rules on the academic integrity in the course10m
Slides10m
Slides10m
Slides10m
12 ejercicios de práctica
Rule of Sum in Programming5m
Numbers Divisible by 2 or 38m
Sets and Operations with Them12m
Generalized Rule of Sum10m
Number of Paths10m
Rule of Product8m
Rule of Product in Programming12m
Tuples8m
Tuples with Restrictions12m
Number of Segments15m
Nested For Loops5m
Splitting Datasets15m
Semana
2

Semana 2

4 horas para completar

Advanced Combinatorics

4 horas para completar
11 videos (Total 46 minutos), 6 lecturas, 12 cuestionarios
11 videos
Binomial Theorem4m
Practice Counting6m
Review3m
Salad3m
Combinations with Repetitions4m
Distributing Assignments Among People2m
Distributing Candies Among Kids2m
Numbers with Fixed Sum of Digits4m
Numbers with Non-increasing Digits1m
Splitting into Working Groups3m
6 lecturas
Slides10m
Generation of Combinatorial Objects10m
Number of Salads10m
Producing the list of salads10m
Slides10m
Slides10m
12 ejercicios de práctica
Comparing Binomial Coefficients10m
Sums of Binomial Coefficients15m
Applying Binomial Theorem7m
Practice Counting10m
Number of Salads10m
Combinations with Repetitions10m
Distributing Assignments Among People10m
Distributing Candies Among Kids10m
Numbers with Fixed Sum of Digits10m
Numbers with Non-increasing Digits10m
Splitting into Working Groups10m
Problems in Combinatorics40m
Semana
3

Semana 3

3 horas para completar

Discrete Probability

3 horas para completar
7 videos (Total 75 minutos)
7 videos
Operations on events9m
Classical probability9m
Probabilities and combinatorics10m
Probabilities and operations on events10m
Analysis of bagging procedure10m
Outcomes with non-equal probabilities12m
6 ejercicios de práctica
Experiments, outcomes and events15m
Operations on events20m
Probabilities by definition20m
Probabilities and combinatorics10m
Finding probabilities using rules10m
Outcomes with non-equal probabilities15m
Semana
4

Semana 4

2 horas para completar

Introduction to Graphs

2 horas para completar
9 videos (Total 36 minutos), 3 lecturas, 6 cuestionarios
9 videos
Trees4m
Colorings. Bipartite Graphs3m
Konigsberg Bridges. Euler Cycles4m
Constructing a Euler Cycle4m
Hamiltonian Paths5m
Acyclic Directed Graphs. Topological Sorting3m
Traversing Trees3m
Traversing Graphs: DFS and BFS3m
3 lecturas
Slides10m
Slides10m
Slides10m
6 ejercicios de práctica
Trees10m
Coloring15m
Euler Path10m
Hamiltonian Cycle5m
Topological Sorting5m
Traversing trees5m

Reseñas

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Mathematics for Data Science

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