What skills or experience do I need to already have, before starting to learn econometrics?

Before starting to learn econometrics, you typically need to already have an understanding of advanced mathematics and the different statistical methods used in economic models. Probability theory is another topic you typically need to understand before proceeding into econometrics. It can help to have experience with research techniques like data collection. R programming language, linear regression, regression analysis, and time series are three other topics that can typically support your econometrics studies. Additionally, you could benefit from studying causal inference, machine learning, social sciences, or qualitative modeling in coordination with your econometrics studies to support your learning efforts.

What kind of people are best suited for roles in econometrics?

People who have a highly analytical nature and who also have the patience to solve complex problems are typically the best suited to roles in econometrics. It can also be important to be a person who enjoys advanced mathematics, such as statistics and calculus when pursuing an econometrics role. People who work in fields like finance, computer science, auditing, or teaching courses like economics can also be well suited to econometrics roles that complement existing jobs in those fields.

What are common career paths for someone in econometrics?

Consumer scientists and computer programmers are two common career paths for people in econometrics because computer technology helps with processing large amounts of data. Another common career path for people in econometrics is in the educational field as an economics professor teaching others about this field. Auditors, such as IRS agents, and government jobs in regulatory affairs are also potential career paths for those who learn econometrics. Businesses may also hire compliance specialists and those with knowledge of regulatory affairs who are strong in the area of econometrics.

What topics can I study that are related to econometrics?

Data science, including statistics, linear regression and modeling, and machine learning like AI is a broad topic you can study that is related to and encompasses econometrics. Finance, quantitative modeling, and R programming language are some more numbers-based topics that are related to econometrics. Those interested in econometrics may also enjoy the econometrics-related topics of causal inference, social science, regression analysis, and regression modeling. Additionally, cliometrics, which uses numbers pulled from historic documents like parish registries and population census records to interpret economic history is another topic that is closely related to econometrics.

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134 résultats pour ''econometrics'

Gratuit
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Stanford University
Introduction to Statistics
Compétences que vous acquerrez : Data Visualization, Correlation And Dependence, Machine Learning, Basic Descriptive Statistics, Experiment, Statistical Analysis, Bayesian Statistics, Statistical Inference, Regression, Econometrics, Inference, Plot (Graphics), Probability Distribution, General Statistics, Markov Model, Statistical Tests, Statistical Hypothesis Testing, Probability & Statistics, Data Analysis, Probability
4.5
(1.3k avis)
Beginner · Course · 1-3 Months
Macquarie University
Excel Skills for Business Forecasting
Compétences que vous acquerrez : Accounting, Business Analysis, Data Analysis, Data Analysis Software, Data Management, Econometrics, Forecasting, General Statistics, Microsoft Excel, Probability & Statistics, Project Management, Regression, Spreadsheet Software, Statistical Analysis, Statistical Tests, Strategy and Operations
4.8
(135 avis)
Intermediate · Specialization · 3-6 Months
IBM Skills Network
IBM Data Analyst
Compétences que vous acquerrez : Algebra, Apache, Big Data, Business Analysis, Computational Logic, Computer Programming, Computer Programming Tools, Correlation And Dependence, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Structures, Data Visualization, Data Visualization Software, Data Warehousing, Database Administration, Database Application, Databases, Econometrics, Exploratory Data Analysis, Extract, Transform, Load, General Statistics, Geovisualization, Leadership and Management, Machine Learning, Mathematical Theory & Analysis, Mathematics, Matplotlib, Microsoft Excel, NoSQL, Operating Systems, Plot (Graphics), Probability & Statistics, Professional Development, Python Programming, Regression, SQL, Spreadsheet Software, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Statistical Visualization, System Programming, Theoretical Computer Science
4.6
(52.5k avis)
Beginner · Professional Certificate · 3-6 Months
Wesleyan University
Data Analysis and Interpretation
Compétences que vous acquerrez : Analysis, Basic Descriptive Statistics, Business Analysis, Business Psychology, Communication, Computer Programming, Data Analysis, Data Management, Data Visualization, Econometrics, Entrepreneurship, Exploratory Data Analysis, General Statistics, Leadership and Management, Machine Learning, Machine Learning Algorithms, Probability & Statistics, Python Programming, Regression, Statistical Analysis, Statistical Programming, Writing
4.4
(1.3k avis)
Beginner · Specialization · 3-6 Months
Duke University
Data Analysis with R
Compétences que vous acquerrez : Analysis, Bayesian Statistics, Business Analysis, Data Analysis, Data Mining, Data Visualization, Econometrics, Experiment, Exploratory Data Analysis, General Statistics, Inference, Machine Learning, Machine Learning Algorithms, Mathematics, Plot (Graphics), Probability & Statistics, Probability Distribution, R Programming, Regression, Statistical Analysis, Statistical Inference, Statistical Programming, Statistical Tests
4.7
(6.6k avis)
Beginner · Specialization · 3-6 Months
Johns Hopkins University
Advanced Statistics for Data Science
Compétences que vous acquerrez : Algebra, Artificial Neural Networks, Bayesian Statistics, Biostatistics, Calculus, Communication, Dimensionality Reduction, Econometrics, Experiment, General Statistics, Linear Algebra, Machine Learning, Machine Learning Algorithms, Mathematics, Probability & Statistics, Probability Distribution, Regression, Statistical Machine Learning, Statistical Tests
4.4
(660 avis)
Advanced · Specialization · 3-6 Months

Recherches liées à econometrics

econometrics: methods and applications

econometrics for economists and finance practitioners

enjoyable econometrics

the econometrics of time series data

topics in applied econometrics

hypotheses testing in econometrics

econometria básica aplicada

En résumé, voici 10 de nos cours econometrics les plus populaires

Econometrics: Methods and Applications: Erasmus University Rotterdam
Econometrics for Economists and Finance Practitioners: Queen Mary University of London
Enjoyable Econometrics: Erasmus University Rotterdam
Introduction to Statistics: Stanford University
Panel Data Analysis with R: Coursera Project Network
Linear Regression and Modeling: Duke University
Excel Skills for Business Forecasting: Macquarie University
Topics in Applied Econometrics: Queen Mary University of London
IBM Data Analyst: IBM Skills Network
Data Analysis and Interpretation: Wesleyan University

Compétences que vous avez acquises en Probability And Statistics

La Programmation En R (19)

Inférence (16)

Régression Linéaire (12)

Analyse Statistique (12)

Inférence Statistique (11)

Analyse De Régression (10)

Biostatistiques (9)

Bayésien (7)

Régression Logistique (7)

Distribution De Probabilité (7)

Statistiques Bayésiennes (6)

Statistiques Médicales (6)

Questions fréquentes sur Économétrie

Before starting to learn econometrics, you typically need to already have an understanding of advanced mathematics and the different statistical methods used in economic models. Probability theory is another topic you typically need to understand before proceeding into econometrics. It can help to have experience with research techniques like data collection. R programming language, linear regression, regression analysis, and time series are three other topics that can typically support your econometrics studies. Additionally, you could benefit from studying causal inference, machine learning, social sciences, or qualitative modeling in coordination with your econometrics studies to support your learning efforts.‎
People who have a highly analytical nature and who also have the patience to solve complex problems are typically the best suited to roles in econometrics. It can also be important to be a person who enjoys advanced mathematics, such as statistics and calculus when pursuing an econometrics role. People who work in fields like finance, computer science, auditing, or teaching courses like economics can also be well suited to econometrics roles that complement existing jobs in those fields.‎
Consumer scientists and computer programmers are two common career paths for people in econometrics because computer technology helps with processing large amounts of data. Another common career path for people in econometrics is in the educational field as an economics professor teaching others about this field. Auditors, such as IRS agents, and government jobs in regulatory affairs are also potential career paths for those who learn econometrics. Businesses may also hire compliance specialists and those with knowledge of regulatory affairs who are strong in the area of econometrics.‎
Data science, including statistics, linear regression and modeling, and machine learning like AI is a broad topic you can study that is related to and encompasses econometrics. Finance, quantitative modeling, and R programming language are some more numbers-based topics that are related to econometrics. Those interested in econometrics may also enjoy the econometrics-related topics of causal inference, social science, regression analysis, and regression modeling. Additionally, cliometrics, which uses numbers pulled from historic documents like parish registries and population census records to interpret economic history is another topic that is closely related to econometrics.‎

Le contenu de cette FAQ a été mis à disposition à des fins d'information uniquement. Il est conseillé aux étudiants d'effectuer des recherches supplémentaires afin de s'assurer que les cours et autres qualifications suivis correspondent à leurs objectifs personnels, professionnels et financiers.