Introduction to Stata

Date:
Jun 01, 2021 - Jul 08, 2021
Application Deadline:
May 27, 2021
Duration:
6 Weeks
Schedule:
Tuesday - 6:30 PM to 8:30 PM
Thursday - 6:30 PM to 8:30 PM
Teaching Mode:
Online
Understanding and applying new statistical techniques can be intimidating. There are various integrated statistical software packages which can help. Stata is one of the most popular software packages being used in the world for statistical analysis. It is very agile and easy to use, automate, allows to perform data manipulation, visualization, and modeling for large data sets.

This is a beginner level Stata course providing a comprehensive introduction to Stata and its various uses in modern data analysis along with some theoretical understanding of statistics in real life. You will assess the various alternatives that Stata provides in manipulating, exploring, modelling, and visualizing complex types of data. The theoretical underpinnings in the course along with software understanding will allow you explore the practical application and interpretation of generally used statistical techniques such as distributional and correlational analysis on real-life data. You will also review concepts and develop criteria for the application of impact assessment techniques and instruments. Each lesson will demonstrate the strengths of the software and provide a firm foundation for performing own quantitative analysis.

This course is for professionals and researchers who work in the public or private sphere in the design, implementation, or evaluation of public policies. For this course, the you are expected to have some basic knowledge in statistics. Knowledge of econometrics is good but not essential.

Learning Outcomes:

  • Practice evidence-based policy making and formulate research questions using real world data, mainly of Pakistan
  • Produce meaningful descriptive statistics and informative graphs
  • Become familiar with the Stata statistical software and learn how to use Stata for the most common data analysis tasks, including,cleaning, transforming, summarizing and visualizing data.
Click here to view the complete course outline.
Ahmad Ayub
MSc in Development Economics, University of Oxford
BSc (Hons) in Economics, Lahore University of Management Sciences (LUMS)
Teaching Fellow at School of Education, LUMS

Course Fee: PKR 15,000/-

Note: CES may cancel or postpone a course due to insufficient enrolment or unforeseen circumstances. In this case, the university will refund registration/processing fee (if any) but will not be responsible for any other related charges/expenses including cancellation/change charges by airline and travel agencies. 

Please go through Policies & Code of Conduct 


Participants must register online through CES website by clicking on their desired course and filling out a one-page form. Before starting the registration process, please ensure that you have a formal scanned picture (for CES smart card) and CNIC details. Incorrect information provided during the registration process will lead towards cancellation of your enrolment at any stage and participants will not be entitled to claim a refund.

Once you have completed your online registration for your desired course, you may proceed to payment section. You have the option to pay online using your bank debit/credit cards through LUMS online payment system https://pay.lums.edu.pk OR by downloading the fee vouchers and depositing cash in any branch of designated banks specified on the fee voucher. Once you make your payment, you will receive a confirmation email within 24 to 48 working hours and your payment status will be updated to "PAID" in the online application portal.