Economic data analysis

Sharif University of Technology TehranTehran, Iran

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Tuition Fee

IRR 12,000,000

Start Date

Not Available

Medium of studying

On campus

Duration

6 weeks

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Program Details

Degree
Courses
Major
Data Analysis | Econometrics | Statistics
Area of study
Mathematics and Statistics | Business and Administration
Timing
Part time
Course Language
English

Program Overview

Program Overview

The Sharif University of Technology offers specialized training programs through its Faculty of Management and Economics. These programs include comprehensive and specialized courses, as well as previously held courses.


Comprehensive Courses

  • Comprehensive Business Management Course with a Digital Transformation Approach
  • Comprehensive Finance Course
  • Advanced Board of Directors Course

Specialized Courses

  • Game Theory for Managers
  • Family Business Continuity
  • Marketing in the Age of Artificial Intelligence
  • Previously Held Courses:
    • Data-Driven Investment Strategies
    • Strategy Implementation: Concepts, Process, Tools, and Techniques
    • OKR and KPI: From Design to Implementation
    • Economic Data Analysis
    • Digital Economy Transformation: The Role of Platforms, Data, and AI
    • Business Law: Legal Skills in Organizational Management
    • Organizational Transformation Management
    • Quantitative Methods in Finance
    • Financial Derivatives
    • Advanced Marketing Research
    • Startup Finance
    • Platform Economy
    • Organizational Transformation Management
    • Leadership in Organizations
    • Decision Making in Uncertainty
    • Platform Businesses
    • Applied Macroeconomics
  • Comprehensive Crypto Course in Simple Language: Economic and Investment Approach
  • Data Science for Business Management

Course Details: Economic Data Analysis

Introduction

Companies and governments intervene in markets with specific goals, making various interventions. Discovering the effects and consequences of these interventions is not straightforward due to the complexity and interconnectedness of social phenomena. This course discusses aspects of the revolution in causal identification methods and the expansion of data use to discover the consequences of these interventions. Data-driven decision making requires accurate reading of data to extract useful lessons from past actions and pursue social or corporate goals more effectively. This course presents selected data analysis methods, including randomized experiments, multivariate regression, difference-in-difference, and regression discontinuity.


Instructor

  • Mohammad Vasal: Professor of Economics at Sharif University of Technology
    • Education:
      • Ph.D. in Economics, London School of Economics (LSE)
      • Master's in Economics, Sharif University of Technology
      • Bachelor's in Electrical Engineering, Sharif University of Technology
      • Bachelor's in Petroleum Engineering, Sharif University of Technology
    • Work Experience: Associate Professor of Economics at Sharif University of Technology

Industry Guest

  • Shamim Taheri: Data Analysis Manager at Mofid Securities
    • Education:
      • Master's in Economics, London School of Economics (LSE)
    • Work Experience:
      • Data Analysis Manager at Mofid Securities
      • Former Data Analysis Manager at Divar
      • Former Pricing Manager at Tapsi

Course Objectives

  • Familiarity with the complexity of causal identification in social phenomena
  • Familiarity with the principles of questionnaire design and measurement
  • Ability to analyze descriptive data
  • Designing randomized experiments to measure intervention outcomes
  • Ability to estimate and interpret multivariate regression
  • Familiarity with the concept of natural experiments
  • Estimation and interpretation of difference-in-difference and regression discontinuity models

Target Audience

  • Students and graduates
  • Experts
  • Early-stage entrepreneurs and those interested in entrepreneurship
  • Senior and middle managers
  • Managers interested in innovation
  • New managers and leaders

Course Fee

  • Open course participants: 12 million tomans
  • Graduates of the Faculty of Management and Economics, Sharif University of Technology (both official and open courses): 10 million tomans
  • Students: 10 million tomans

About University

Sharif University of Technology Tehran


Overview:

Sharif University of Technology Tehran is a prestigious public research university located in Tehran, Iran. It is widely recognized as one of the top universities in Iran and the Middle East, known for its strong academic programs and research capabilities.


Key Reasons to Study There:

    Academic Excellence:

    Sharif University is renowned for its high academic standards and rigorous curriculum.

    Research Opportunities:

    The university boasts a strong research culture, providing students with opportunities to engage in cutting-edge research projects.

    Faculty Expertise:

    Sharif University attracts highly qualified and experienced faculty members from various fields.

    International Recognition:

    The university enjoys international recognition and collaborations with leading institutions worldwide.

Academic Programs:

Sharif University offers a wide range of undergraduate and graduate programs across various disciplines, including:

  • Engineering (e.g., Aerospace, Chemical, Civil, Electrical, Mechanical)
  • Science (e.g., Physics, Chemistry, Mathematics, Computer Science)
  • Humanities and Social Sciences (e.g., Economics, Management, Psychology)

Other:

  • The university has a strong emphasis on innovation and entrepreneurship, fostering a vibrant startup ecosystem.
  • Sharif University is home to a number of research centers and institutes, focusing on areas such as nanotechnology, biotechnology, and energy.
  • The university has a beautiful campus with modern facilities and a strong sense of community.
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