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.

Обзор
Econometrics

Фильтр

Результатов для запроса ''econometrics': 134

Бесплатно
Бесплатно
Бесплатно
Stanford University
Introduction to Statistics
Получаемые навыки: Probability, Bayesian Statistics, Regression, Machine Learning, Experiment, Probability & Statistics, Inference, Statistical Tests, Econometrics, General Statistics, Data Visualization, Data Analysis, Statistical Hypothesis Testing, Basic Descriptive Statistics, Probability Distribution, Correlation And Dependence, Plot (Graphics), Markov Model, Hypothesis Testing, Statistical Analysis
4.5
(рецензий: 1.3k)
Beginner · Course · 1-3 Months
Macquarie University
Excel Skills for Business Forecasting
Получаемые навыки: 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
(рецензий: 137)
Intermediate · Specialization · 3-6 Months
IBM Skills Network
IBM Data Analyst
Получаемые навыки: Algebra, Analysis, 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, Microsoft Excel, Modeling, NoSQL, Operating Systems, Plot (Graphics), Probability & Statistics, Professional Development, Python Programming, Regression, SQL, Software, Spreadsheet Software, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Statistical Visualization, System Programming, Theoretical Computer Science
4.6
(рецензий: 52.5k)
Beginner · Professional Certificate · 3-6 Months
Wesleyan University
Data Analysis and Interpretation
Получаемые навыки: 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
(рецензий: 1.3k)
Beginner · Specialization · 3-6 Months
Duke University
Data Analysis with R
Получаемые навыки: 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
(рецензий: 6.6k)
Beginner · Specialization · 3-6 Months
Johns Hopkins University
Advanced Statistics for Data Science
Получаемые навыки: 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
(рецензий: 660)
Advanced · Specialization · 3-6 Months

Результаты поиска, связанного с 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

10 самых популярных курсов по запросу econometrics

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
Linear Regression and Modeling: Duke University
Excel Skills for Business Forecasting: Macquarie University
Panel Data Analysis with R: Coursera Project Network
Topics in Applied Econometrics: Queen Mary University of London
IBM Data Analyst: IBM Skills Network
Data Analysis and Interpretation: Wesleyan University

Навыки, которые вы можете получить здесь: Probability And Statistics

Программирование На Языке R (19)

Заключение (16)

Линейная Регрессия (12)

Статистический Анализ (12)

Статистический Вывод (11)

Регрессионный Анализ (10)

Биостатистика (9)

Байесовский (7)

Логистическая Регрессия (7)

Распределение Вероятностей (7)

Байесовская Статистика (6)

Медицинская Статистика (6)

Часто задаваемые вопросы на тему Эконометрика

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.‎

Часто задаваемые вопросы предоставляются в ознакомительных целях. Учащимся рекомендуется дополнительно убедиться в том, что интересующие их курсы и другие материалы соответствуют их личным, профессиональным и финансовым потребностям.