Helsinki Open Data Science
- 12 hours
- 10 Videos
- 68 Exercises
- 1,465 Participants
- 6,300 XP
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Course Description
This DataCamp course has been developed for the use of University of Helsinki by Tuomo Nieminen and Emma Kämäräinen, under the supervision of adj. prof. Kimmo Vehkalahti. The corresponding HY course is titled Introduction to Open Data Science (IODS). The core themes of the course are open data, reproduciple research and data science.
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1
Regression and model validation
Data wrangling, simple regression, multiple regression, regression diagnostics
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3
Clustering and classification
Datasets in R, Linear Discriminant Analysis (LDA) and K-means clustering
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5
Analysis of longitudinal data
Graphical Displays and Summary Measure Approach, Linear Mixed Effects Models for Normal Response Variables
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2
Logistic regression
Regression for binary outcomes, training and testing a (predictive) model, cross-validation
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4
Dimensionality reduction techniques
Principal component analysis (PCA), Correspondence analysis (CA)
-
1
Regression and model validation
Data wrangling, simple regression, multiple regression, regression diagnostics
-
2
Logistic regression
Regression for binary outcomes, training and testing a (predictive) model, cross-validation
-
3
Clustering and classification
Datasets in R, Linear Discriminant Analysis (LDA) and K-means clustering
-
4
Dimensionality reduction techniques
Principal component analysis (PCA), Correspondence analysis (CA)
-
5
Analysis of longitudinal data
Graphical Displays and Summary Measure Approach, Linear Mixed Effects Models for Normal Response Variables
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Kimmo Vehkalahti
Instructor
(Super) Social Data Scientist, D.Soc.Sci, Fellow of the Teachers' Academy of Uni HELsinki, running #tilastoMOOC - the 1st Social Statistics MOOC & #IODS, the 1st Open Data Science MOOC in Finland, powered by DataCamp, VuoLearning, and Moodlerooms
Tuomo Nieminen
Instructor
Studies statistics and computer science at the University of Helsinki and works at the National Health and Welfare Institute (THL). Believes that data analysis can make the world a better place.
Emma Kämäräinen
Instructor
Helsinki University student who studies statistics and computer science. Believes in the power of data and finds herself interested in statistics more and more every day. Currently works as a Data Scientist at DNA Oy.
Petteri Mäntymaa
Instructor
Statistics student at the University of Helsinki. Teaching assistant on the statistics courses Helsinki Social Statistics and Introduction to Open Data Science. Part-time R-dude at the Finnish National Institute for Health and Welfare. Passtime hobbies include powerlifting, astronomy.