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B.Sc. DegreeFaculty of Faculty of Social Sciences & MediaEconomics
Introduction to Statistics (Economics BSc)
Master Introduction to Statistics (Economics BSc) in University - Economics with this structured course, covering 8 modules and practice assessments.
Course Overview
Master Introduction to Statistics (Economics BSc) in University - Economics with this structured course, covering 8 modules and practice assessments. Curriculum Structure & Core Modules: • 1. Nature of Statistics, Economic Data Collection, Sampling Methods, and Measurement...
What You'll Learn
- Understand and apply the principles of Nature and Scope of Statistics (BSc Econ)
- Work confidently through Data Collection and Presentation (BSc Econ) and its practical applications
- Analyse real-world scenarios involving Measures of Central Tendency (BSc Econ)
- Develop applied skills in Measures of Dispersion (BSc Econ)
- Critically evaluate approaches to Probability Basics (BSc Econ)
Requirements
- A foundational understanding of University - Economics concepts, from an introductory course or equivalent experience
- A computer, tablet or smartphone with a stable internet connection
- Willingness to commit regular study time to complete lessons, quizzes and assignments
Degree Programme Curriculum Context
This course is a curriculum unit of the B.Sc. Economics degree framework in Nigeria.
Earn Your Certificate
Showcase your skills with a certificate! Complete the course, submit your project, and earn your certificate. Here's a sample of what you'll receive to show off your accomplishments.
Course Curriculum
Open-access academic curriculum. All foundational lectures available to read free.
8 Chapters
•24 Lecture
•18h
1. Nature, Scope, and Epistemology of Economic Statistics and Data Generation
NUC CCMAS Benchmark: ECO 104 | 100L Economics Nature, Scope, and Epistemology of Economic Statistics and Data Generation Foundations of quantitative empirical inquiry, inductive inference, observational data constraints, data-generating processes, and scales of measurement. 1. Theoretical Foundation & Conceptual Architecture Economic statistics represents the scientific discipline concerned with t...
45 minutes
2. Primary versus Secondary Economic Data, Surveys, Censuses, and Administrative Records
NUC CCMAS Benchmark: ECO 104 | 100L Economics Primary versus Secondary Economic Data, Surveys, Censuses, and Administrative Records Methodologies of economic data acquisition, census enumerations, sample surveys, administrative registries, big data digital traces, and total survey error frameworks. 1. Theoretical Foundation & Conceptual Architecture Empirical economic inquiry relies fundamentally...
45 minutes
3. Probability and Non-Probability Sampling Designs: Simple Random, Stratified, Cluster, and Systematic Sampling
NUC CCMAS Benchmark: ECO 104 | 100L Economics Probability and Non-Probability Sampling Designs: Simple Random, Stratified, Cluster, and Systematic Sampling Mathematical theory of survey sampling, design effects, sampling variance under complex designs, Horvitz-Thompson estimation, and selection bias. 1. Theoretical Foundation & Conceptual Architecture Sampling theory constitutes the mathematical c...
45 minutes
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Instructor
PAMCET Learning Team
Institutional Course Curation · PAMCET
Qualifications:
PAMCET Learning Team — Institutional Course Curation, Digitpen Hub LtdMy Skills:
- Curriculum Curation
- Course Content Review
- Learning Outcome Design
- Course Publishing & Quality Assurance
- Platform Content Operations
Reviews
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Free$24.99100% Off
Certificate available separately for $50 after completionCourse Includes
8 Chapters
24 Lectures
2 - 4 weeks
Skill Level intermediate
Taught in English
Lifetime Access
Certification of Completion
Category: University - Economics
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