Interactive Course

Helsinki Open Data Science

  • 12 hours
  • 10 Videos
  • 68 Exercises
  • 1,573 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.

IODS course slides

  1. 1

    Regression and model validation

    Data wrangling, simple regression, multiple regression, regression diagnostics

  2. 3

    Clustering and classification

    Datasets in R, Linear Discriminant Analysis (LDA) and K-means clustering

  3. 5

    Analysis of longitudinal data

    Graphical Displays and Summary Measure Approach, Linear Mixed Effects Models for Normal Response Variables

  1. 1

    Regression and model validation

    Data wrangling, simple regression, multiple regression, regression diagnostics

  2. 2

    Logistic regression

    Regression for binary outcomes, training and testing a (predictive) model, cross-validation

  3. 3

    Clustering and classification

    Datasets in R, Linear Discriminant Analysis (LDA) and K-means clustering

  4. 4

    Dimensionality reduction techniques

    Principal component analysis (PCA), Correspondence analysis (CA)

  5. 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
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
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
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
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.

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