This course provides an overview of key results in probability and statistics relevant for social research and introduces programming tools for statistical analysis. Major probability distributions, including the binomial, normal, exponential, and Poisson distributions, used in social science research are introduced and their properties and applications are explored in intensive computer labs. Statistical software is used to simulate from these distributions. Computational methods, including Monte Carlo simulation, are used to explore key theorems under various conditions. Hypothesis tests for parameters and statistics related to common univariate distributions are introduced, and computational alternatives (e.g., bootstrapping, permutation tests) are considered.
Statistics and Data Science I
7.5 creditsStatistics and Data Science I, 7.5 credits
Autumn 2023, Half-time, Norrköping
Semester
Autumn 2023
Place of study
Norrköping
Pace of study
Half-time
Level
Second cycle
Teaching form
On-Campus
Education Time
Day-time
Education Language
English
Course offering id
LIU-46101
Period
202334 - 202343
Number of Places
2
Specific requirements
- 180 ECTS credits passed including 90 ECTS credits within one of the following areas humanities, social-, cultural-, behavioural-, natural-, computer-, or engineering-sciences
- 15 ECTS credits passed in one or several of the following subjects:
Statistics
Mathematics
Computer science - English corresponding to the level of English in Swedish upper secondary education (Engelska 6)
Exemption from Swedish
Selection
Tuition fees
SEK 14498 - NB: Applies only to students from outside the EU, EEA and Switzerland.
If you have questions about the course, contact us
Carl Nordlund
Madelene Töpfer
Statistics and Data Science I, 7.5 credits
Autumn 2024, Half-time, Norrköping
Semester
Autumn 2024
Place of study
Norrköping
Pace of study
Half-time
Level
Second cycle
Teaching form
On-Campus
Education Time
Day-time
Education Language
English
Course offering id
LIU-46101
Period
202434 - 202443
Number of Places
2
Specific requirements
- 180 ECTS credits passed including 90 ECTS credits within one of the following areas humanities, social-, cultural-, behavioural-, natural-, computer-, or engineering-sciences
- 15 ECTS credits passed in one or several of the following subjects:
Statistics
Mathematics
Computer science - English corresponding to the level of English in Swedish upper secondary education (Engelska 6)
Exemption from Swedish
Selection
Tuition fees
SEK 17600 - NB: Applies only to students from outside the EU, EEA and Switzerland.