Data Analysis using STATA

Diploma
Certificate
Start Date
9 July 2018
Mode
Full-time
Duration
5 days

Course date: 9-13 July 2018

Location: Maastricht School of Management

Description: This 5-day course will familiarize participants with STATA and will help them in analyzing quantitative data using it. Participants will be able to analyze data using STATA and will apply STATA in order to solve quantitative research problems. Data sets will be used for practical application.

The five day short course will focus on the following areas:

  • Introduction to STATA
  • Basic STATA commands
  • Variable labels
  • Tabulate and graph data
  • Estimate liner regression models
  • Analyze multilevel data

The learning outcomes for participants are depicted subsequently:

  • Understand the principles of STATA
  • Gain an in-depth understating of analyzing data using STATA
  • Learn how STATA can be used for multiple group analysis
  • Familiarize on running and interpreting STATA outcome

Participants should be familiar with basic statistics and should know how to run a correlation analysis, linear regression and t-test. No prior knowledge of Structural Equation Modelling software is necessary.  The course is appropriate for doctoral students and academic researchers that use quantitative research methodologies.

Lecturer

Riaan Rossouw, PhD is an economist who specializes in data analysis, particularly the conversion and dissemination of large volumes of data into strategic intelligence. He is also an expert in computable general equilibrium (CGE) modelling and international trade flows and databases. He is an honorary research fellow at the Maastricht School of Management and extraordinary associate professor in the School of Economics at the North-West University. Riaan holds a PhD from the North-West University.
Riaan has completed numerous local and international advisory projects for governments, financial institutions, international NGOs, international business schools, mining houses, freight transport companies and utility providers. He has developed several mathematical and econometric models which contribute practically to decision making in a public and private institution context. He also participated in numerous smaller projects and in doing so, demonstrated skills in the economic analysis of energy-related projects, computer programming, decision support systems, economic and strategic planning, quantitative research, development of modelling tools, and related software design.
Riaan has taught both local and international students and development practitioners. Based on his private and professional experiences on projects in Southern Africa, the Netherlands and the UK, Riaan knows both developed and emerging market dynamics and has a keen eye for intercultural relations.
His research interests include social and economic dimensions of inequality, economic impact assessment, decision support systems as well as CGE modelling (particularly in the African context), with a focus on regional disparities, labor markets, fiscal reform, tourism, energy policy, development planning and international trade.

Admissions

The program targets

  • Academics
  • Professionals
  • PHD Students/DBA Students
  • Post-Doctoral Students
  • Post-graduates Students


Application document

CV

Visa

Participants are responsible for arranging their own entry visa, if applicable. If needed, students can request an admission statement for their Visa application via e-mail (research@msm.nl ), but only after full payment is received by MSM. Students should apply for a tourist Visa and not a study Visa.

Fees

Early Bird Fee (registration until 10 May 2018 Regular Fee (registration after 10 May 2018)
Course fee  € 550 € 600

The fee includes: Tuition fees, Study Materials, Welcome Package.

The fee does not include housing costs, living expenses, travel expenses, visa and insurance costs.

MSM reserves the right to cancel the program in case the number of participants does not meet the MSM requirements for minimum number of participants. In this case, any payment made to MSM for tuition fee will be refunded.

Deadline

Deadline for application is 3 June 2018

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