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Students
Tuition Fee
GBP 950
Per course
Start Date
Medium of studying
Fully Online
Duration
28.0 days
Program Facts
Program Details
Degree
Courses
Major
Public Policy Studies | Research Methods | Political Sciences and Civics
Area of study
Social Sciences
Education type
Fully Online
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 950
About Program

Program Overview


The "Policy Analytics: Understanding and Using Data" short course from King's College London provides mid-career professionals with a foundation in quantitative analysis. Through webinars, discussions, and practical exercises, participants learn data management, analysis, and Stata software. The course enhances transferable skills in data analysis, research, and policy development, leading to career opportunities in various sectors.

Program Outline


Outline:


Content:

The "Policy Analytics: Understanding and Using Data" short course is designed to provide mid-career professionals with a foundation in quantitative analysis. The course covers topics such as:

  • Fundamentals of quantitative research design
  • Data management
  • Data analysis
  • Stata software

Structure:

The course is four weeks long and includes:

  • Weekly webinars: Three one-hour webinars with a King's College London lecturer.
  • Discussion forums: Online discussions with peers.
  • Online readings: Readings from academic journals and other sources.
  • Interactive lectures videos: Engaging lectures on various topics.
  • Online tutorials: Practical exercises to reinforce learning.

Individual Modules:

  • Week 1: Fundamentals of Quantitative Methods
  • Covers topics such as:
  • Quantitative analysis
  • Assessing and creating concepts
  • Exploring data
  • Introduction to Stata and Stata basics
  • Week 2: Describing and Comparing Data
  • Introduces "summary statistics" and explores topics such as:
  • Essential Stata commands
  • Using graphs and figures to visualize summary statistics
  • Bivariate analyses
  • Week 3: Using Data to Explain and Predict Outcomes
  • Covers topics such as:
  • Introduction to bivariate and multivariate regression analysis
  • When to use regression analysis
  • Stata regression and diagnostic commands
  • Interpreting and graphing regression analysis

Assessment:

  • One written assignment
  • Participation in webinars and discussion forums

Teaching:

  • Teaching Staff:
  • Daniela Serban, Lecturer in Public Policy
  • Teaching Schedule:
  • Fully online
  • 3 x 1-hour weekly webinars

Careers:

  • This course focuses on developing transferable skills in quantitative analysis, which are highly sought-after in the private and public sectors.
  • the course's knowledge and skills can potentially lead to various career paths related to:
  • Data analysis
  • Research
  • Policy development
  • Public administration
  • The course fee is £950.
  • Financial aid may be available in the form of scholarships and discounts.
  • Applicants require a 2:1 or higher degree and 3 years of relevant experience, or 5+ years of relevant experience without a 2:1 degree.
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