EdX

Statistiques de finances publiques (edX)

Statistiques de finances publiques (edX)

Ce cours examine les éléments conceptuels et pratiques de la compilation et de la diffusion des statistiques budgétaires selon les normes internationales, utiles pour évaluer l’impact des activités des administrations publiques sur l'économie d'un pays et pour faciliter les comparaisons internationales.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

Ce cours, présenté par le Département des statistiques du FMI, se concentre à la fois sur le cadre conceptuel des statistiques de finances publiques (SFP) tel que présenté dans le Manuel de statistiques de finances publiques 2014 du FMI (MSFP 2014, la mise à jour de l’édition 2001), et sur les aspects pratiques de la compilation des données.
Le cours examine les concepts de base, les définitions, les règles comptables, les classifications et les tableaux de présentation du cadre des SFP, et il explique la compilation et la diffusion de SFP complètes et comparables entre pays.
Enfin, le cours montre comment utiliser les SFP pour évaluer l’impact des activités du secteur des administrations publiques sur l’économie d’un pays.

What you'll learn
A l’issue de ce cours, vous devriez être en mesure de :

  • Expliquer les concepts de base, les définitions et les principes comptables dans le cadre intégré des SFP.
  • Classer les flux et les encours de base du secteur des administrations publiques selon le Manuel de statistiques de finances publiques 2014.
  • Appliquer les principes généraux pour classer une institution dans le secteur public et dans les sous-secteurs pertinents, tels que les administrations publiques et les sociétés publiques.
  • Enregistrer les flux et les encours budgétaires associés aux activités des établissements du secteur public, en suivant les directives et les classifications du MSFP 2014.
  • Expliquer comment sont calculés les principaux agrégats et soldes analytiques des SFP, et ce qu’ils montrent de l’impact du secteur des administrations publiques sur l’économie.
  • Développer un plan de migration pour adopter la méthodologie du MSFP 2014, et compiler et diffuser les SFP en suivant les directives internationales.
  • Reconnaître la valeur de compter sur des SFP complètes, cohérentes et comparables au niveau international, et l'utilisation des indicateurs clés des SFP dans la conception, le suivi et l'évaluation de la politique budgétaire.
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Statistics (edX) EdX
Delft University of Technology,DelftX

Statistics (edX)

This course provides an overview of bachelor-level statistics. You will review the concepts of descriptive and inferential statistics. You will use the statistical software package R on real data to gain insight in these topics. A strong foundation in mathematics is critical for success in all science and engineering disciplines. Whether you want to make a strong start to a master’s degree, prepare for more advanced courses, solidify your knowledge in a professional context or simply brush up on fundamentals, this course will get you up to speed.

Self Paced
Self-Paced
Probability and Statistics IV: Confidence Intervals and Hypothesis Tests (edX) EdX
Georgia Institute of Technology,GTx

Probability and Statistics IV: Confidence Intervals and Hypothesis Tests (edX)

This course covers two important methodologies in statistics – confidence intervals and hypothesis testing. Confidence intervals allow us to make probabilistic statements such as: “We are 95% sure that Candidate Smith’s popularity is 52% +/- 3%.” Hypothesis testing allows us to pose hypotheses and test their validity in a statistically rigorous way. For instance, “Does a new drug result in a higher cure rate than the old drug”?

Self Paced
Self-Paced
Probability and Statistics II: Random Variables – Great Expectations to Bell Curves (edX) EdX
Georgia Institute of Technology,GTx

Probability and Statistics II: Random Variables – Great Expectations to Bell Curves (edX)

This course discusses properties and applications of random variables. For instance, how many customers are likely to arrive in the next hour? What’s the probability that a lightbulb will last more than a year? When you’re done with this course, you’ll have enough firepower to undertake a wide variety of modeling and analysis problems; and you’ll be well-prepared for the upcoming Statistics courses.

Self Paced
Self-Paced
External Debt Statistics (edX) EdX
International Monetary Fund - IMF,IMFx

External Debt Statistics (edX)

This course, presented by the Statistics Department, is intended to provide participants with a thorough understanding of the international standards for the compilation of EDS presented in the 2013 EDS: Guide for Compilers and Users (2013 EDS Guide). This course is for those interested in learning the fundamentals of compiling international accounts - specifically compilation of external debt statistics (EDS) and/or international investment position (IIP) statistics. It is a basic-level course laying the foundations.

Self Paced
Self-Paced
Estadística Aplicada a los Negocios (edX) EdX
Galileo University,GalileoX

Estadística Aplicada a los Negocios (edX)

Aprende las principales herramientas y técnicas de la estadística descriptiva y la estadística inferencial para analizar e interpretar datos desde la perspectiva de negocios facilitando la toma de decisiones. Este curso proporciona una introducción al análisis de datos en base a las principales herramientas estadísticas, enfocándose en la estadística descriptiva y la estadística inferencial.

Self Paced
Self-Paced
Fundamentals of Statistics (edX) EdX
MIT,MITx

Fundamentals of Statistics (edX)

Develop a deep understanding of the principles that underpin statistical inference: estimation, hypothesis testing and prediction. Statistics is the science of turning data into insights and ultimately decisions. Behind recent advances in machine learning, data science and artificial intelligence are fundamental statistical principles. The purpose of this class is to develop and understand these core ideas on firm mathematical grounds starting from the construction of estimators and tests, as well as an analysis of their asymptotic performance.

Aug 26th 2026
13-24 Weeks
Statistical Inference and Modeling for High-throughput Experiments (edX) EdX
HarvardX,Harvard University

Statistical Inference and Modeling for High-throughput Experiments (edX)

A focus on the techniques commonly used to perform statistical inference on high throughput data. In this course you’ll learn various statistics topics including multiple testing problem, error rates, error rate controlling procedures, false discovery rates, q-values and exploratory data analysis. We then introduce statistical modeling and how it is applied to high-throughput data. In particular, we will discuss parametric distributions, including binomial, exponential, and gamma, and describe maximum likelihood estimation.

Self Paced
Self-Paced
Mathematical Methods for Quantitative Finance (edX) EdX
MIT,MITx

Mathematical Methods for Quantitative Finance (edX)

Learn the mathematical foundations essential for financial engineering and quantitative finance: linear algebra, optimization, probability, stochastic processes, statistics, and applied computational techniques in R. Modern finance is the science of decision making in an uncertain world, and its language is mathematics. As part of the MicroMasters® Program in Finance, this course develops the tools needed to describe financial markets, make predictions in the face of uncertainty, and find optimal solutions to business and investment decisions.

Jun 26th 2024
5-12 Weeks
Probability - The Science of Uncertainty and Data (edX) EdX
MIT,MITx

Probability - The Science of Uncertainty and Data (edX)

Build foundational knowledge of data science with this introduction to probabilistic models, including random processes and the basic elements of statistical inference. The world is full of uncertainty: accidents, storms, unruly financial markets, noisy communications. The world is also full of data. Probabilistic modeling and the related field of statistical inference are the keys to analyzing data and making scientifically sound predictions.

Jan 29th 2024
13-24 Weeks