What you'll learn
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Think clearly with data
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Assess statistical claims
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Conduct your own basic statistical analyses
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Apply these methods in your own discipline
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Interpret output of any quantitative research
About this Course
Course Overview
This course will cover the basic concepts of data analysis and statistical computing, which are both increasingly used in the fields of social sciences and humanities. The course will focus on the practical application of quantitative reasoning, visualization, and data analysis.
The course will cover the following topics: basic descriptive measures, measures of association, sampling and sample size estimation, and simple linear regression. Labs and assignments will be based on real-world data and problems in a wide range of fields in social sciences and humanities, including psychology, sociology, education, and public health. The basics of R and R Markdown will also be covered in the course.
Instructor
Dr. Zahid Asghar, Professor at Quaid-i-Azam University, is an applied econometrician and statistician with special interests in development economics and making sense of data through Data visualization. He has conducted a large number of trainings on data analytics using Excel, STATA, R and EVIEWS. Dr. Zahid has published on topics such as gender, food security and other socio-economic issues, both in national and international peer reviewed journals.
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Localized & easy to understand course content in English & Urdu
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Course Outline
Introduction to Types of Studies and Data
Review of Probability and Distribution of Random Variables
Foundations of Statistical Inference
Inference for Categorical and Numerical Data
Correlation, Causation and Regression
Frequently Asked Questions
Once you enroll, you can get a 100% refund if you withdraw after the first lesson. We do not offer refunds after that.
No. This is a progressive learning course so enrollments for one week are not allowed.
Yes, this is a 100% online course.
Since data is found everywhere, making sense of data is becoming important day by day. This course will useful for a variety of individuals, including: professionals who want to learn basic data analytics and quantitative reasoning, researchers, research students, graduate and PhD students and all those who want to start their journey of learning quantitative methods by doing.
No background knowledge of quantitative methods is necessary. Minimum education should ideally be intermediate/AS level for this course to be useful for your career/educational aspirations
Yes, but there are a few conditions. You must complete all the assignments, have at least 75% attendance, and have scored reasonably well on your quizzes. This is just for us to ensure that you can grasp the fundamentals of Quantitative Methods for Social Sciences & Humanities before we certify you.