Learning shouldn't only be something which you do in school and university – in order to maximize your personal development and career prospects in economics, further education is always valuable online and in-person.

Professional skills in economics include data analysis skills, developing practical solutions for complex problems, and of course knowledge of subject-specific economics concepts. For professionals working in economics, it's especially important to stay up to date with the latest developments in these rapidly-changing fields. This is especially true in a competitive job markets such as in the United States. Here is our selection of great professional economics training courses.

 

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TStatTraining Courses

Location: Online, or on-site in various locations in Germany, Italy and more
Dates: Courses take place throughout the year
Fees: €240 - €2360, depending on topic, format and length of course

TStat’s courses are characterized by their theoretical and applied structure. Each course is composed of both a theoretical component and an applied (hands-on) segment, during which participants are given the opportunity to implement these techniques using real data and the latest statistical software under the watchful eye of the course tutor. At the end of the course, participants are expected to be able to autonomously implement the theories and methodologies discussed in the course with the help of the software routines developed specifically for the course.

TStat's training portfolio can be classified into three distinct categories:

- introductory and advanced courses relating to the use of one of the statistical software which TStat distributes;
- introductory/intermediate courses in biostatistics, epidemiology, econometrics, financial analysis, statistics and qualitative and quantitative text analysis; and
- advanced “state of the art” courses in each of the aforementioned fields.

Deadline: Ongoing

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Introduction to Python and R Programming for Data Science

Location: Online
Dates: 14 - 17 March 2023
Fee: €300 - €525

This is an 8-hour online course that provides an introduction to programming with Python and R for data analysis and machine learning. The course is taught with a hands-on approach via Jupyter notebooks.

This course has been specifically designed to provide you with the coding skills that are essential for training in data science. If you are interested in mastering this area and learning the tools to apply modern machine learning techniques – from data exploration to building predictive models and extracting insights – this course is the ideal preparation to get started.

Application Deadline: 9 March 2023

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Foundations of Data Science

Location: Online
Dates: 20 - 31 March 2023
Fee: €1,100 - €1,950

Get up to speed on the latest developments in data science in a short time.

This is a 20-hour online course that exposes you to state-of-the-art tools employed in data science. The course is taught with a hands-on approach via Jupyter notebooks.

This course is specifically aimed at professionals, researchers, and Master's/PhD students who want to learn machine learning tools to get insights from large collections of data for their business or research projects.

Application Deadline: 15 March 2023

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2023 Short Course in Dynamic Global Trade Analysis

Course Location: Purdue University, West Lafayette, Indiana
Location: On-site/online
Dates: 14 August - 13 October 2023
Fee: $2,000 (Student), $4,500 (Regular)

"Applied General Equilibrium Analysis using a Dynamic Multi-Region Model"

Phase 1 (Asynchronous Online Learning)   August 14 – September 24, 2023
Phase 2 (Onsite Residency)   October 9-13, 2023

The objective of this course is to introduce participants to dynamic economic analysis in an applied general equilibrium setting. This course is designed to provide participants with ample hands-on training with software that has been tailored for undertaking analysis using a dynamic recursive model. Participants will interact with economists working on global trade and environmental issues using a dynamic model. The end goal of the course is for participants to leave with the capability of conducting and analyzing their own dynamic simulations.

Application Deadline: 14 May 2023

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2023-2 GTAP 101 Course

Location: Online
Start Date: 4 September - 22 October, 2023
Fee: $1,500 (Student), $4,000 (Regular)

The objective of the GTAP 101 course is to engage participants in an active, team-based process of learning about the GTAP computable general equilibrium (CGE) model and its use in applied economic policy analysis. The curriculum emphasizes an intuitive and graphical treatment of economic theory in the CGE model and provides structured experiences in manipulating and running the standard GTAP Model, v7 within the RunGTAP software environment. RunGTAP is an intuitive, menu-driven CGE model interface that minimizes technological hurdles and allows students to quickly begin to focus on their economic thinking and experimentation.

The curriculum is geared to advanced undergraduates, graduates, and professionals. At the end of the course, participants will be entry-level modelers and more informed consumers of CGE-based analyses. The course also serves as an entry point for developing the technical skills required for the GTAP Short Course and other courses offered through GTAP-U.

Application Deadline: 18 June 2023

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Financial Management and Decision-Making for the 21st Century

Course Provider: University of Chicago
Location: Online
Start Date: Ongoing
Fee: $9,500

Volatility, uncertainty, complexity, and ambiguity (commonly known as VUCA) are some of the main factors impacting the business world today. That is why professionals should equip themselves with the tools they need to make impactful financial decisions in the 21st century VUCA context.

leveraging the University of Chicago’s leadership in the financial sector and the fields of behavioral economics and analytics, our ten-month Financial Management and Decision-Making for the 21st Century certificate program is designed to provide solid theoretical knowledge of cutting-edge financial topics, as well as to offer a practical application for you to implement at work.

Application Deadline: Ongoing

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Energy Innovation and Emerging Technologies Program

Course Provider: Stanford University
Location: Online
Start Date: Ongoing
Fee: $1,975 (all access plan)

The Energy Innovation and Emerging Technologies Program (EIET) examines emerging technologies, policies, economics, finance, and management that will transform how we obtain, distribute, store, and use energy. Through a variety of online energy courses, you may focus your studies based on your interests.

This online energy education program brings together some of the world's most preeminent researchers in the energy and sustainability field to share their knowledge and expertise. Some parts of the modules are technical in nature, so a scientific or engineering background is helpful but not required.

Application Deadline: Ongoing

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Graduate Certificate in Accounting Analytics

Course Provider: Michigan State University
Location: Online 
Dates: Ongoing
Fees: $817.25 per credit hour

The nine-credit, online Graduate Certificate in Accounting Analytics program is designed to meet the professional development needs of accounting professionals, and it also provides an alternative pathway for students seeking to meet the 150 Hour Rule for CPA certification.

Information processing technologies and the availability of data are changing how accountants work and what they do. The program not only focuses on understanding accounting implications of emerging data analytical technologies and technical skill development, but also managing projects. The certificate provides a foundation for understanding and adapting in this quickly changing arena.

Application Deadline: Ongoing

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Foundations for Data Science

Course Provider: Stanford University
Location: Online
Dates: Ongoing
Fees: $129

Break into the rapidly growing field of data science with Stanford University's Foundations for Data Science professional program. Comprised of three comprehensive and introductory online courses, this program will teach you the foundational programming and statistics skills you need to kick-start a career in data science—no prior experience necessary.

Learn from Stanford faculty with step-by-step instructions, listen to insights from industry experts, and develop your understanding through case studies and real-world examples. The program includes ungraded programming exercises to help build and practice your skills. No final exam or capstone project is required.

Application Deadline: Ongoing

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