Save for later

Global Statistics - Composite Indices for International Comparisons

The number of composite indices that are constructed and used internationally is growing very fast; but whilst the complexity of quantitative techniques has increased dramatically, the education and training in this area has been dragging and lagging behind. As a consequence, these simple numbers, expected to synthesize quite complex issues, are often presented to the public and used in the political debate without proper emphasis on their intrinsic limitations and correct interpretations. In this course on global statistics, offered by the University of Geneva jointly with the ETH Zürich KOF, you will learn the general approach of constructing composite indices and some of resulting problems. We will discuss the technical properties, the internal structure (like aggregation, weighting, stability of time series), the primary data used and the variable selection methods. These concepts will be illustrated using a sample of the most popular composite indices. We will try to address not only statistical questions but also focus on the distinction between policy-, media- and paradigm-driven indicators.

Get Details and Enroll Now

OpenCourser is an affiliate partner of Coursera.

Get a Reminder

Not ready to enroll yet? We'll send you an email reminder for this course

Send to:

Coursera

&

University of Geneva

Rating 5.0 based on 5 ratings
Length 6 weeks
Effort 5 weeks, 3 hours per week (6 hours for week 2 only if no background on statistics)
Starts Jul 13 (3 days ago)
Cost $49
From University of Geneva via Coursera
Instructors Stefan Andreas Sperlich, Juan Manuel Rodriguez Poo (in Partnership with UNIGE)
Download Videos On all desktop and mobile devices
Language English
Subjects Social Sciences Data Science Business
Tags Social Sciences Data Science Data Analysis Economics

Get a Reminder

Get an email reminder about this course

Send to:

Similar Courses

What people are saying

According to other learners, here's what you need to know

with cis everywhere in one review

With CIs everywhere, this is a nice course for a wider audience to get an understanding of how they get constructed and matters that have to be taken into account while doing so.

being used world in one review

The multiple examples provided in the different modules were definitely eye openers to the wide array of composite indices that are being used world wide.

didáctico y formal in one review

Realmente didáctico y formal.

each organization developed in one review

An element I felt missing though was a deeper explanation of the robustness tests each organization developed to chose their final indices.

felt missing though in one review

from people involved in one review

Plenty of use-cases about well-known indices and presentations from people involved in their creation.

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Composite Assembler $50k

Senior A&P Mechanic/Composite Technician $55k

Technology Composite Fabricator Lead $60k

Composite Mechanic 2 $76k

Aerospace Composite Technician Lead $80k

Composite Liaison Engineer - Experienced $81k

Composite Technician /Process specialist $84k

Composite Tech, CNC Operator, Mechanical Assembler 2 $85k

AMT / Composite Technician Lead $86k

Manager, Equity Indices Product Management $96k

Composite Architect $119k

Process Engineer - Composite Specialist Manager $141k

Write a review

Your opinion matters. Tell us what you think.

Coursera

&

University of Geneva

Rating 5.0 based on 5 ratings
Length 6 weeks
Effort 5 weeks, 3 hours per week (6 hours for week 2 only if no background on statistics)
Starts Jul 13 (3 days ago)
Cost $49
From University of Geneva via Coursera
Instructors Stefan Andreas Sperlich, Juan Manuel Rodriguez Poo (in Partnership with UNIGE)
Download Videos On all desktop and mobile devices
Language English
Subjects Social Sciences Data Science Business
Tags Social Sciences Data Science Data Analysis Economics

Similar Courses

Sorted by relevance

Like this course?

Here's what to do next:

  • Save this course for later
  • Get more details from the course provider
  • Enroll in this course
Enroll Now