As a result of the large scale availability of data nowadays, the use of statistical methods has broadened considerably and the importance and meaning of data science has increased, not only in the laboratory and industry but also in marketing and business intelligence.
For such applications, this course offers essential insights into statistical concepts and skills needed to apply data analysis techniques responsibly. You will learn how to work statistically sound and interpret datasets and models correctly.
The course starts with a review of basic principles from the fields of statistics and probability theory. This provides a good starting point for the data analysis methods within the important fields of data mining (big data) and time series analysis, discussed thereafter. You will also gain experience in working effectively with the statistical software R.
The course consists of three topics:
This course also gives you a strong base for our specialist follow-up courses in the field of statistics such as Data mining & business analytics and Time series analysis and forecasting.
Academics and higher professionals who want to make use of modern applied statistical techniques in their work and who want to familiarize themselves with the relevant skills, and want to get acquainted with the latest statistical freeware. The course is also suited for lecturers at universities or colleges of higher education who want to be informed on actual methods for data analysis and data science.
You have mathematics at at least secondary education level. Basic knowledge in the field of statistics is desirable.
In consultation with the participants this course can be taught in Dutch or English. Practical exercises are in R.
The techniques demonstrated with R, can also be performed in Python and yield comparable results. Participants receive sample data files so that they can reproduce the results using their preferred data analysis software. It is possible to use R from Python and Python from R and combine the advantages of each. Do you want to use Python or discover more possibilities of Python? View our course Python for engineers.
Language |
The program can be taught in English on request. |
“Good start to use R. You really get tools to analyze data.”participant of Royal HaskoningDHV
“Excellent course, meets all expectations.”participant of NXP Semiconductors BV Nijmegen
“Very informative and applicable.”participant of Albemarle Catalysts BV
“Very informative: good starting point for using R.”participant of Albemarle Catalysts BV
“Very interesting. Despite the level of difficulty a good start to apply in my daily practice.”participant of Abbott