Course: Practical Data Science

Event Details

Date
Wednesday October 30, 2019 from 9:00 AM to Wednesday November 20, 2019 5:00 PM
Location
TU/e
Organizer
PAO Techniek & Management
Price
€ 2,295.00 ex. vat

Course dates: 30 October, 2, 13, AND 20 November 2019

Statistics for big data & business intelligence (with R)

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.

A well-prepared start with data science

The course consists of three topics:

  • Applied probability and statistics revisited - intended as a refresher for the principles and techniques that are used within applied probability and statistics for the analysis and modeling of data.
  • Data mining in a nutshell - provides an introduction and overview of commonly used methods in the field of predictive analytics to generate predictions and classifications based on adequate models and to recognize patterns in large data sets.
  • Time series analysis in a nutshell - deals with methods for modeling time-dependent data and for making forecasts for the future based on these models.

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.

Intended for

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.

Organizer

Data Science

Data Science is an interdisciplinary field that uses a variety of techniques to create value based on extracting knowledge and insights from available data. The successful and responsible application of these methods highly depends on a good understanding of the application domain, taking into account ethics, business models, and human behavior.