Introduction to Statistics, Certificate

Introduction to Statistics, Certificate

  • Application Deadline
  • 21 days
    Duration
University rank #47 (ARWU) Online
The Introduction to Statistics course, offered by 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.

About

The Introduction to Statistics course, offered by Utrecht University aims 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 Statisitcs 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
  • 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.

Detailed Programme Facts

  • Programme intensity Part-time
    • Average part-time duration 21 days
    • Intensity 14 hrs/week
    • Part-time variant
      Flexible
  • Credits
    1 ECTS
    1.5 ECTS
  • Languages
    • English
  • Delivery mode
    Online
    • Time flexibility
      Fully structured
    • Attendance
      Exams and graduation only
    • Student interaction
      Individual work/assignments (with online group discussions), Online group works/assignments

Programme Structure

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

Lecturers

  • Cas Kruitwagen
  • Roy de Vries

English Language Requirements

This programme requires students to demonstrate proficiency in English.

Academic Requirements

To enroll in this course, you need:

  • An academic (university) level of thinking
  • Access to the computer programs SPSS & R
  • The Cast e-bookWe 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.)
  • Sufficient proficiency in English reading and writing

Tuition Fee

  • International Applies to you

    385 EUR/full
    Tuition Fee
    Based on the original amount of 385 EUR for the full programme and a duration of 21 days.
  • EU/EEA Applies to you

    385 EUR/full
    Tuition Fee
    Based on the original amount of 385 EUR for the full programme and a duration of 21 days.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.

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.

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