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    • Econometrics

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    172 results for "econometrics"

    • Free

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      Erasmus University Rotterdam

      Econometrics: Methods and Applications

      Skills you'll gain: Advertising, Algebra, Communication, Econometrics, Forecasting, General Statistics, Marketing, Mathematics, Probability & Statistics, Regression

      4.6

      (1.1k reviews)

      Mixed · Course · 1-3 Months

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      Queen Mary University of London

      Econometrics for Economists and Finance Practitioners

      Skills you'll gain: Probability & Statistics, Econometrics, General Statistics, Regression, Forecasting

      3.0

      (16 reviews)

      Intermediate · Specialization · 3-6 Months

    • Free

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      Erasmus University Rotterdam

      Enjoyable Econometrics

      4.1

      (87 reviews)

      Beginner · Course · 1-3 Months

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      Queen Mary University of London

      The Econometrics of Time Series Data

      Skills you'll gain: Forecasting, General Statistics, Probability & Statistics

      Intermediate · Course · 1-4 Weeks

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      Queen Mary University of London

      Topics in Applied Econometrics

      Skills you'll gain: Econometrics, Probability & Statistics

      Intermediate · Course · 1-4 Weeks

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      Queen Mary University of London

      Hypotheses Testing in Econometrics

      Skills you'll gain: Econometrics, Probability & Statistics

      Intermediate · Course · 1-4 Weeks

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      University of Illinois at Urbana-Champaign

      Managerial Economics and Business Analysis

      Skills you'll gain: Market Analysis, Marketing, Entrepreneurship, Business Analysis, Data Analysis, Research and Design, Basic Descriptive Statistics, Finance, Financial Management, Market Research, Probability & Statistics, Statistical Analysis, Business Development, Exploratory Data Analysis, Leadership and Management, Sales, Spreadsheet Software, Strategy, Strategy and Operations, Statistical Tests, Regression, Accounting, Data Visualization, Financial Analysis, Investment Management, Plot (Graphics), Survey Creation, Big Data, Change Management, Data Management, Decision Making, Econometrics, Experiment, Game Theory, General Accounting, General Statistics, Mathematics, Planning, Project Management, Supply Chain Systems, Supply Chain and Logistics

      4.7

      (4.3k reviews)

      Beginner · Specialization · 3-6 Months

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      Free

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      Stanford University

      Introduction to Statistics

      Skills you'll gain: Data Science, General Statistics, Probability & Statistics, Statistical Tests, Estimation, Basic Descriptive Statistics, Correlation And Dependence, Probability Distribution, Regression, Bayesian Statistics, Data Analysis, Data Visualization, Econometrics, Experiment, Machine Learning, Markov Model, Plot (Graphics), Statistical Analysis, Statistical Visualization

      4.6

      (2.1k reviews)

      Beginner · Course · 1-3 Months

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      Duke University

      Linear Regression and Modeling

      Skills you'll gain: Probability & Statistics, Regression, Business Analysis, Data Analysis, General Statistics, Statistical Analysis, Statistical Programming, Econometrics, R Programming

      4.8

      (1.6k reviews)

      Beginner · Course · 1-4 Weeks

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      Duke University

      Data Analysis with R

      Skills you'll gain: Probability & Statistics, General Statistics, Data Analysis, Statistical Analysis, Regression, R Programming, Statistical Programming, Statistical Tests, Bayesian Statistics, Econometrics, Business Analysis, Probability Distribution, Data Science, Mathematics, Correlation And Dependence, Experiment, Exploratory Data Analysis, Machine Learning, Machine Learning Algorithms, Basic Descriptive Statistics, Data Mining, Plot (Graphics), Statistical Visualization, Data Analysis Software, Data Visualization

      4.7

      (6.9k reviews)

      Beginner · Specialization · 3-6 Months

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      Erasmus University Rotterdam

      Introduction to Economic Theories

      Skills you'll gain: Risk Management, Behavioral Economics, Business Psychology, Econometrics, Probability & Statistics

      4.5

      (301 reviews)

      Beginner · Course · 1-3 Months

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      University of Michigan

      Statistics with Python

      Skills you'll gain: Probability & Statistics, General Statistics, Statistical Programming, Python Programming, Data Science, Business Analysis, Regression, Computer Programming, Data Analysis, Statistical Analysis, Statistical Tests, Experiment, Machine Learning, Machine Learning Algorithms, Econometrics, Data Visualization, Statistical Visualization, Bayesian Statistics, Correlation And Dependence, Data Analysis Software, Estimation, Basic Descriptive Statistics, Mathematics, Plot (Graphics), Programming Principles

      4.6

      (3k reviews)

      Beginner · Specialization · 1-3 Months

    Searches related to 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
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    In summary, here are 10 of our most popular econometrics courses

      Skills you can learn in Probability And Statistics

      R Programming (19)
      Inference (16)
      Linear Regression (12)
      Statistical Analysis (12)
      Statistical Inference (11)
      Regression Analysis (10)
      Biostatistics (9)
      Bayesian (7)
      Logistic Regression (7)
      Probability Distribution (7)
      Bayesian Statistics (6)
      Medical Statistics (6)

      Frequently Asked Questions about 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.‎

      • 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.‎

      This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.
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