EViews Mastery: Data Analysis and Econometric Modeling

EViews Mastery: Data Analysis and Econometric Modeling

Master statistical analysis and econometrics with EViews through GUI navigation, descriptive statistics, and others.



Sub Category

  • Data Science

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Objectives

  • Mastering the EViews graphical user interface (GUI) for efficient navigation and data handling.
  • Performing descriptive statistical analysis to summarize data distributions and trends.
  • Generating log returns and understanding their implications in financial and economic contexts.
  • Creating and interpreting correlation matrices to explore relationships between variables.
  • Constructing scatter plots to visualize data points and identify patterns or outliers.
  • Applying volatility analysis techniques to assess risk and uncertainty in time series data.
  • Utilizing advanced features for econometric modeling and hypothesis testing.
  • Implementing forecasting models to predict future trends based on historical data.
  • Integrating real-world data sets into EViews for practical application and analysis.
  • Developing analytical skills to make informed decisions and recommendations in economic and financial research.


Pre Requisites

  1. Basic understanding of statistics and data analysis concepts.
  2. Familiarity with econometric principles and methods.
  3. Proficiency in using computers and navigating software applications.
  4. Prior exposure to financial or economic data analysis is beneficial but not mandatory.
  5. Access to a computer with EViews software installed (or ability to use it on a provided platform).


FAQ

  • Q. How long do I have access to the course materials?
    • A. You can view and review the lecture materials indefinitely, like an on-demand channel.
  • Q. Can I take my courses with me wherever I go?
    • A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!



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