
Professional Data Science Course in R

R is a programming language that is used extensively by statisticians and has a rapidly growing number of users that are econometricians. R with its integrated development environment (IDE) - RStudio - is a powerful tool for economists and researchers in conducting data collection, statistical analysis, economic research, web scraping, reporting and visualization. R with RStudio lets users put Shiny web applications and interactive documents online in the way that works best for them. For example, R Shiny allows programmers to turn their programs into dynamic WEB applications that can run their programs based on user-chosen parameters.
It is important to develop cost-effective on-line training so that it can be available to all central banks and other institutions.
Unique 5-day on-line course that guides participants from the basics of R to becoming skilled users. Unlike other courses which only provide general knowledge of R, this course is result-oriented and designed for central bank economists and research assistants. By the end of the course participants will have a powerful framework that they can use for database management, visualization, reporting, estimation, near-term forecasting, etc.).
Don't worry! We will find a suitable time of the day for you. Participants will be divided into groups by their time zones.
Requirements:
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R (Version 4.0.3 or the latest ones up to 4.1.1)
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RStudio
What will you learn?
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Basics of R.
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R packages and their functions.
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Uploading and organizing data.
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Data visualization.
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Creating tables, charts and reports.
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Regression analysis in R.
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R Markdown.
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R Shiny: Creating interactive web apps.
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Projects:
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Project 1. Estimation of Consumption Functions in the US.
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Project 2. Inflation and Inflation Expectations.
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The outcomes from the course:
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A full package of code designed to upload, organize, plot and report data. The course is mainly based on United States data.
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Reporting technology.
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Certificate of completion.
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Further assistance (subject to discussion).
Dates
October 31 - November 4,
2022
13:00 - 15:00 Lisbon Time
December 12 - December 16,
2022
13:00 - 15:00 Lisbon Time
The course will be conducted online via Zoom. It will last 5 days. Participants will have access to 2 hours of training each day.
People who cannot attend due to time difference, will have access to video recordings of the course and will have special sessions scheduled with instructors for Q & A.
Seats are limited!