3.9 Read 29 reviews
Overview
The Introduction to Machine Learning with R course at Tallinn University introduces students to the statistical programming language R and the use of R studio. It will cover the concepts of data manipulation and data preparation as well as uni- and bivariate statistics in R.
The course will cover the so-called grammar of graphics in R with the ggplot2 package to create stunning and publication-ready data visualizations. It will also discuss how to conduct basic descriptive statistics (such as mean, standard deviation, correlation) in R to describe your data.
Why this course?
- Learn the statistical programming language R
- Be able to create publication-ready visualizations that stand out
- Apply machine learning algorithms to solve real-world problems
Programme Structure
Curriculum:
- The statistical programming language R and the use of R studio
- Data manipulation and data preparation in R
- Uni- und and bivariate statistics in R
- Grammar of graphics in R (with ggplot2) to produce publication-ready graphics
- Theoretical understanding of selected machine learning algorithms (e.g. logistics regression, decision trees and random forests, k-nearest-neighbours, hierarchical cluster analysis)
- Practical application of selected machine learning algorithms in R
Key information
Duration
- Full-time
- 10 days
Start dates & application deadlines
- StartingApply anytime.
Language
English
Credits
4 ECTS
Delivered
On Campus
Campus Location
- Tallinn, Estonia
Disciplines
Data Analytics View 3 other Short Courses in Data Analytics in EstoniaWhat students do after studying
Join for free or log in to access our complete career info list.
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Participants:
Generally, anyone interested in learning the statistical programming language R for data analysis and application of machine learning algorithms are welcome to apply. Specifically:
- aspiring Bachelor students (after successfully passing the statistics course)
- master students / PhD students.
No previous knowledge in R is required. However, basic statistical knowledge (descriptive and analytical statistics) is recommended.
Students should bring their own laptop (Windows or Mac) and have R and R studio installed. Details on how to install R and R Studio will be provided.
Student Insurance via Studyportals Partner
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.
Studyportals partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Tallinn University and/or in Estonia, please visit Student Insurance Portal.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents450 EUR / full≈ 450 EUR / full -
EU/EEA Applies to you
Applies to youEU/EEA Nationals450 EUR / full≈ 450 EUR / full
Additional Details
- Early-Bird Fee: 400€
Living costs
Tallinn
Estonia
598 - 948 EUR / month
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Improve page content