Study cover for Introduction to Statistics
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Introduction to Statistics

Utrecht University

21 days
Duration
435 EUR/full
435 EUR/full
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The Introduction to Statistics course from Utrecht University will provide you with a basic understanding of statistics. Geared towards people studying and working in the health domain, the course will enable you to interpret research data, and to explain and use different types of variables.

Visit the official programme website for more information

Overview

The aim of the course is to bring all students, irrespective of their prior knowledge, up to the necessary level to enable them to participate in other statistical courses. In order to achieve this aim, you will be tested on your statistical knowledge at the start of the course. The results will give you an insight into your own statistical strengths and weaknesses, enabling us to provide you with specific advice on how best to participate in the course.

Introduction to Statistics is part of MSc Epidemiology Postgraduate Online; the online MSc program in Epidemiology offered by Utrecht University , University Medical Center Utrecht, MSc Epidemiology and Elevate Health

Learning objectives

By the end of the Introduction to Statistics course, you will be able to:

  • Explain and use the different types of variables: quantitative (numerical) vs. qualitative (non-numerical) with their corresponding sub-types (continuous, discrete, ordinal, non-ordinal)
  • Summarize data in a graphical and numerical way, using measures of location and dispersion

In particular, you will be able to:

  • Interpret data that is presented both graphically and numerically
  • Calculate the different types of frequency measures: 'absolute', 'relative' and 'cumulative' frequency
  • Calculate (standard) normal probabilities for, and apply standardization formula to, normally distributed data
  • Calculate binomial probabilities
  • Apply the principle of statistical inference from sample to population
  • Perform simple statistical analysis in the statistical packages SPSS and R

Accreditation

As this is a university course, it is covered by academic accreditation. Upon successful completion of this course, you will receive a recognized certificate from Utrecht University and the UMC Utrecht.

Programme Structure

Course Topics:

  • Discrete outcomes
  • Binomial probability distribution
  • Continuous outcomes
  • The normal probability distribution
  • Central Limit Theorem
  • Statistical inference (estimation and hypothesis testing)

Key information

Duration

  • Part-time
    • 21 days
    • 14 hrs/week

Start dates & application deadlines

More details

Enrollment deadline 15 Feb, 20 Sep

Language

English

Credits

1 ECTS

1.5 ECTS

Delivered

Online

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

To enroll in this course, you need:

  • An academic (university) level of thinking
  • Access to the computer programs SPSS & R
  • The Cast e-book

Technological requirements

We will use the Introductory statistics (biometrics) e-book for the statistical theory. For extra practice material, you can use the Exercises e-book. (Note that to make full use of CAST you have to have JAVA installed on your computer.)

Tuition Fee

To alway see correct tuition fees
  • International

    435 EUR/full
    Tuition Fee
    Based on the tuition of 435 EUR for the full programme during 21 days.
  • EU/EEA

    435 EUR/full
    Tuition Fee
    Based on the tuition of 435 EUR for the full programme during 21 days.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last 6 months

Check the official programme website for potential updates.

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