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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「econometrics」の131件の結果

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Technische Universität München (TUM)
The Economics of Agro-Food Value Chains
習得できるスキル： Linear Algebra, Product Management, Audit, Calculus, Human Resources, Compensation, Mathematics, General Statistics, User Research, Human Computer Interaction, Market (Economics), Product Marketing, Probability & Statistics, Accounting, Leadership Development, Business Analysis, Programming Principles, Data Analysis, Financial Analysis, Statistical Analysis, Strategy and Operations, Investment Management, Market Research, Computer Programming, Operations Research, Budget Management, Innovation, Sales, Planning, Mathematical Theory & Analysis, Chaining, Supply Chain Systems, Market Analysis, Organizational Development, Business Psychology, Economics, Behavioral Economics, B2B Sales, Product Strategy, Entrepreneurship, Basic Descriptive Statistics, Finance, Design and Product, Retail Sales, Collaboration, Business Development, Marketing, General Accounting, Contract Management, Advertising, Communication, Strategy, Problem Solving, FinTech, Supply Chain and Logistics, Econometrics, Leadership and Management, Research and Design
4.5
（340件のレビュー）
Intermediate · Course · 3+ Months
Meta
Data Analytics Methods for Marketing
習得できるスキル： Theoretical Computer Science, Software Testing, Market (Economics), Probability & Statistics, Econometrics, Software Engineering, General Statistics, Machine Learning, Marketing, Sales, Research and Design, Market Research, Advertising Sales, Data Clustering Algorithms, Entrepreneurship, Experiment, Marketing Strategy, Machine Learning Algorithms, Algorithms, Analysis, Communication
4.7
（36件のレビュー）
Beginner · Course · 1-4 Weeks
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Google Cloud
Launching into Machine Learning
習得できるスキル： General Statistics, Data Structures, Extract, Transform, Load, Theoretical Computer Science, Probability & Statistics, Machine Learning, Econometrics, Statistical Machine Learning, Data Management, Artificial Neural Networks, Regression, Machine Learning Algorithms, Business Psychology, Geostatistics, Algorithms, Deep Learning, Entrepreneurship
4.6
（4.2k件のレビュー）
Beginner · Course · 1-3 Months
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The Hong Kong University of Science and Technology
Monetary Policy in the Asia Pacific
習得できるスキル： General Statistics, Probability & Statistics, Econometrics, Modeling, Market (Economics), Communication, Sales, Marketing, Banking, Business Psychology, Finance, Account Management, Behavioral Economics, Economics, Advertising, Analysis
4.8
（220件のレビュー）
Intermediate · Course · 1-4 Weeks
Pontificia Universidad Católica de Chile
Hacer negocios en América Latina
習得できるスキル： Account Management, Accounting, Behavioral Economics, Bioinformatics, Budget Management, Business Analysis, Business Development, Business Process Management, Business Psychology, Business Strategy, Communication, Econometrics, Economy, Entrepreneurship, Finance, Leadership and Management, Market Analysis, Marketing, Marketing Management, Ordered Pair, Probability & Statistics, Sales, Strategy and Operations
4.8
（314件のレビュー）
Beginner · Specialization · 1-3 Months
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National Taiwan University
機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations
習得できるスキル： Machine Learning, General Statistics, Econometrics, Logistic Regression, Mathematical Optimization, Mathematics, Linear Regression, Modeling, Supply Chain, Supply Chain and Logistics, Probability & Statistics, Linearity
4.9
（308件のレビュー）
Intermediate · Course · 1-3 Months
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University of Pennsylvania
Network Dynamics of Social Behavior
習得できるスキル： Econometrics, Bayesian Statistics, Probability & Statistics, Human Computer Interaction, User Research, Artificial Neural Networks, Research and Design, Modeling, Communication, Mathematics, Marketing, Business Analysis, Data Visualization Software, Market Research, Analysis, Behavioral Economics, Entrepreneurship, Psychologies, Business Psychology, Machine Learning, Data Visualization, Influencing, Design and Product
4.6
（335件のレビュー）
Beginner · Course · 1-3 Months

econometricsに関連する検索

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

要約して、econometrics の人気コース10選をご紹介します。

The Economics of Agro-Food Value Chains: Technische Universität München (TUM)
Linear Regression and Modeling: Duke University
Data Analytics Methods for Marketing: Meta
Fundamentals of Global Energy Business: University of Colorado System
Launching into Machine Learning: Google Cloud
Intellectual Property in the Healthcare Industry: University of Pennsylvania
Monetary Policy in the Asia Pacific: The Hong Kong University of Science and Technology
Hacer negocios en América Latina: Pontificia Universidad Católica de Chile
Global Trends for Business and Society: University of Pennsylvania
Energy, Environment, and Everyday Life: University of Illinois at Urbana-Champaign

Probability And Statisticsで学べるスキル

計量経済学に関するよくある質問

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.‎