ECONOMIC DATA ANALYTICS

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Learning Outcomes

General features related to data science will be listed.
Distinguish the concepts related to data science
Gain knowledge about the importance of data science.
Gain knowledge about the usage areas and method of data science.
Features related to macroeconomic and microeconomic data will be listed.
Gains knowledge of what microeconomic data is and in which areas it is used.
Gains knowledge of what macroeconomic data is and international data.
Obtaining the sources related to the two data, will have information about how to search in the literature.
Knowledge of data mining and big data will be mastered.
Have knowledge about what data mining is.
Explain the usage areas and applications of big data.
Establish the connection between data mining and big data.
You will be informed about the steps for the active use of data.
Determine what to pay attention to in the selection of data to be used in the application.
Learn how to transform the obtained data according to the needs.
Have an idea about how to present and visualize the data for a healthy interpretation.
The economic use of data is mastered.
Learn how to use and interpret data within the framework of economic models.
Determine how to use statistical science in order to establish the statistical basis of the data.
Explain how and in what direction the data will be measured for a specific purpose.
The importance of econometrics and mathematical techniques will be comprehended.
Gain knowledge of econometrics, which allows the economic interpretation of data.
Gain knowledge of econometrics, which allows the economic interpretation of data.
Determine the usage areas of data in econometrics.
Master the mathematical techniques required for data processing.
An idea will be gained about obtaining results from data through programs.
Have knowledge about how to process data in Excel.
Gains knowledge of the usage of package programs that are used in the modeling of data.
Have an idea about how to use the existing data economically.