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    Results for "econometrics"

    • Illinois Tech

      Introduction to Time Series

      Skills you'll gain: Time Series Analysis and Forecasting, Statistical Reporting, Forecasting, R Programming, Statistical Analysis, Statistical Modeling, Statistical Software, Trend Analysis, Statistical Methods, Business Reporting, Regression Analysis, Advanced Analytics, Analysis, Exploratory Data Analysis, Statistical Hypothesis Testing, Data Transformation

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free

      Eindhoven University of Technology

      Improving your statistical inferences

      Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Quantitative Research, Bayesian Statistics, Statistical Analysis, Statistical Methods, Sample Size Determination, Data Analysis, Research, Research Design, General Science and Research, Research Methodologies, Data Sharing, Probability

      4.9
      Rating, 4.9 out of 5 stars
      ·
      793 reviews

      Intermediate · Course · 1 - 3 Months

    • Duke University

      Linear Regression and Modeling

      Skills you'll gain: Regression Analysis, Statistical Software, Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Data Analysis, Statistical Methods, Exploratory Data Analysis, Predictive Modeling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.8K reviews

      Beginner · Course · 1 - 4 Weeks

    • Johns Hopkins University

      Multiple Regression Analysis in Public Health

      Skills you'll gain: Biostatistics, Regression Analysis, Statistical Methods, Probability & Statistics, Statistical Analysis, Statistical Inference, Advanced Analytics, Statistical Modeling, Predictive Modeling, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      307 reviews

      Beginner · Course · 1 - 4 Weeks

    • University of Colorado Boulder

      Generalized Linear Models and Nonparametric Regression

      Skills you'll gain: Statistical Modeling, R Programming, Data Analysis, Data Ethics, Statistical Methods, Regression Analysis, Mathematical Modeling, Machine Learning, Statistical Inference, Probability Distribution

      Build toward a degree

      4.3
      Rating, 4.3 out of 5 stars
      ·
      20 reviews

      Intermediate · Course · 1 - 4 Weeks

    • University of Colorado Boulder

      Regression Analysis

      Skills you'll gain: Regression Analysis, Supervised Learning, Scikit Learn (Machine Learning Library), Statistical Analysis, Data Analysis, Statistical Modeling, Predictive Modeling, Machine Learning, Feature Engineering

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

    • University of Michigan

      Survey Data Collection and Analytics

      Skills you'll gain: Sampling (Statistics), Sample Size Determination, Survey Creation, Data Collection, Statistical Analysis, Data Analysis Software, Business Research, Interviewing Skills, Data Integration, Data Ethics, Research Design, Stata, R Programming, Data Quality, Data Analysis, Statistical Modeling, Qualitative Research, Statistical Methods, Statistical Programming, Data Cleansing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • Johns Hopkins University

      Summary Statistics in Public Health

      Skills you'll gain: Biostatistics, Histogram, Box Plots, Statistical Visualization, Epidemiology, Medical Science and Research, Quantitative Research, Descriptive Statistics, Probability & Statistics, Statistical Methods, Probability Distribution, Statistical Analysis, Data Analysis, Sample Size Determination

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New

      University of Colorado Boulder

      Statistics and Data Analysis with R

      Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistical Programming, Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Statistical Modeling, Statistical Methods, Tidyverse (R Package), Plot (Graphics), Probability, Data Manipulation, Statistical Inference

      Intermediate · Course · 1 - 3 Months

    • Packt

      The STATA OMNIBUS: Regression and Modelling with STATA

      Skills you'll gain: Stata, Regression Analysis, Statistical Modeling, Statistical Analysis, Advanced Analytics, Sample Size Determination, Simulations, Correlation Analysis, Statistical Visualization, Data Manipulation, Sampling (Statistics), Statistical Hypothesis Testing, Descriptive Statistics, Graphical Tools

      Beginner · Course · 3 - 6 Months

    • Macquarie University

      Excel Regression Models for Business Forecasting

      Skills you'll gain: Forecasting, Regression Analysis, Time Series Analysis and Forecasting, Microsoft Excel, Statistical Modeling, Trend Analysis, Business Planning, Statistical Analysis, Data Visualization Software

      4.9
      Rating, 4.9 out of 5 stars
      ·
      108 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New

      Corporate Finance Institute

      Regression Analysis - Fundamentals & Practical Applications

      Skills you'll gain: Regression Analysis, Correlation Analysis, Statistical Modeling, Statistical Analysis, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Microsoft Excel, Supervised Learning, Pandas (Python Package)

      Advanced · Course · 1 - 3 Months

    Searches related to econometrics

    econometrics: methods and applications
    enjoyable econometrics
    econometria básica aplicada
    1234…9

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

    • Introduction to Time Series: Illinois Tech
    • Improving your statistical inferences: Eindhoven University of Technology
    • Linear Regression and Modeling : Duke University
    • Multiple Regression Analysis in Public Health : Johns Hopkins University
    • Generalized Linear Models and Nonparametric Regression: University of Colorado Boulder
    • Regression Analysis: University of Colorado Boulder
    • Survey Data Collection and Analytics: University of Michigan
    • Summary Statistics in Public Health : Johns Hopkins University
    • Statistics and Data Analysis with R: University of Colorado Boulder
    • The STATA OMNIBUS: Regression and Modelling with STATA: Packt

    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.‎

    Online Econometrics courses offer a convenient and flexible way to enhance your knowledge or learn new Econometrics skills. Choose from a wide range of Econometrics courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Econometrics, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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