Dedika is a platform for learning by doing: whether it's creating a business proposal, becoming a manicurist, or using a new tool, for example. Whatever your goal, the best content on the subject already exists. But it's often in another language, expensive, scattered around, lacking practical activities, or part of a course that's too long for a busy routine. That's why Dedika has its own method: we find this material wherever it is, organise what makes sense for your goal, review it with the help of experts who are available to answer questions, and create practical exercises so you can learn by doing. You are the most important part of your journey and no one knows it better than you: choose the content and course length, decide whether to learn online or offline, and pick your preferred format. It could be video, text, audio, or a summary. Your way, only with what makes sense for you. Here, every moment of dedication counts for more and you reach what matters faster.

Our courses include a summary at the end of each chapter, from which you can download a PDF and print it.

More than 2 million students worldwide

Present in more than 180 countries

Certificate valid in your country

Home Page

...

Demographic Statistics Course

All courses

Natural Sciences and Research

Statistics

Demographic Statistics Course

For all levels

Demographic Statistics Course

Name: Demographic Statistics Course
Price: 204 GBP

Master the full toolkit of demographic statistics, from life tables and fertility measures to population projections and migration analysis. This course gives you the analytical skills to work with real population data, interpret structural trends, and produce findings that inform policy and planning decisions.

Dedika for businesses

What you will learn:

You will learn how to calculate and interpret core demographic rates, construct life tables, and analyse population age-sex structure using pyramids and summary indices. The course covers fertility measurement, mortality analysis, and migration flow estimation using established demographic methods. You will apply the cohort-component projection method to build population forecasts under multiple scenarios. Data quality assessment, standardisation techniques, and ethical data use are integrated throughout. By the end, you will be able to produce complete demographic profiles and communicate findings clearly to both technical and non-technical audiences.

How you study in practice Demographic Statistics Course

How you practise Demographic Statistics Course

For businesses looking to train their team

With Dedika for businesses, the course includes exercises and examples tailored to your own business and the way your company needs.

Click here

Course content

8 Chapters • 40 LessonsDuration between 4 and 360 hours (you decide)

Chapter 1See details

Foundations of Demographic Statistics

Lesson 1 • Ethical Dimensions of Demographic Data
Addresses privacy, consent, and responsible use of population data. Grounds students in ethical obligations before they begin quantitative analysis.
Lesson 2 • What Is Demography
Defines demography as a scientific discipline and distinguishes it from related social sciences. Establishes the conceptual boundary for all subsequent analytical work in the course.
Lesson 3 • Units and Scales of Analysis
Clarifies the distinction between individual-level and aggregate-level demographic data. Prepares students to select appropriate analytical units for specific research questions.
Lesson 4 • Population Data Sources
Surveys primary data sources including censuses, vital registration systems, and surveys. Students learn to evaluate source quality and coverage for demographic analysis.
Lesson 5 • Core Demographic Variables
Introduces fertility, mortality, and migration as the three fundamental demographic variables. Connects each variable to population change mechanisms covered throughout the course.

Chapter 2See details

Demographic Rates and Basic Measures

Lesson 1 • Ratios, Proportions, and Rates
Distinguishes ratios, proportions, and rates as distinct statistical forms used in demography. Provides the mathematical foundation for all rate-based measures in the chapter.
Lesson 2 • Standardisation of Rates
Teaches direct and indirect standardisation to enable valid population comparisons. Students apply both methods to real demographic datasets.
Lesson 3 • Dependency and Sex Ratios
Calculates age-dependency ratios and sex ratios as structural population indicators. Interprets these measures in the context of labour force and social planning.
Lesson 4 • Age-Specific and Sex-Specific Rates
Introduces disaggregation of rates by age and sex to control for compositional differences. Connects to standardisation methods introduced in the next section.
Lesson 5 • Crude Rates of Vital Events
Covers crude birth rate, crude death rate, and crude rate of natural increase. Students calculate each measure and identify their limitations for comparative analysis.

Chapter 3See details

Population Structure and Age Composition

Lesson 1 • Cohort Size and Structural Change
Examines how cohort size variation drives structural shifts in population composition over time. Links cohort dynamics to labour market and social service planning.
Lesson 2 • Measures of Central Age
Calculates mean age, median age, and modal age of a population distribution. Connects these summary statistics to broader structural interpretations.
Lesson 3 • Age-Sex Population Pyramids
Constructs and interprets population pyramids as visual representations of age-sex structure. Establishes the graphical literacy needed for structural demographic analysis.
Lesson 4 • Population Ageing Indices
Introduces the ageing index, potential support ratio, and parent support ratio as structural measures. Applies these indices to assess demographic ageing pressure on societies.
Lesson 5 • Age Heaping and Data Quality
Identifies digit preference and age heaping as common data quality problems in age reporting. Applies Whipple's and Myers' indices to assess and correct age data.

Chapter 4See details

Fertility Analysis

Lesson 1 • Cohort Fertility Analysis
Tracks completed fertility and parity progression across birth cohorts. Contrasts cohort and period perspectives to reveal tempo and quantum effects.
Lesson 2 • Fertility Differentials and Inequalities
Analyses fertility variation by education, urban-rural residence, and socioeconomic status. Connects differentials to policy targeting and demographic forecasting.
Lesson 3 • Proximate Determinants of Fertility
Applies the Bongaarts framework to decompose fertility into proximate biological and behavioural determinants. Quantifies the contribution of marriage, contraception, and breastfeeding.
Lesson 4 • Period Fertility Measures
Covers general fertility rate, age-specific fertility rates, and total fertility rate as period measures. Establishes the standard toolkit for cross-sectional fertility comparison.
Lesson 5 • Fertility Transition Theory
Explains the demographic transition model and its fertility component across development stages. Provides theoretical context for interpreting empirical fertility trends.

Chapter 5See details

Mortality Analysis and Life Tables

Lesson 1 • Mortality Concepts and Measures
Defines infant mortality rate, child mortality rate, and adult mortality probability as key indicators. Situates each measure within the broader mortality analysis framework.
Lesson 2 • Life Expectancy and Survival Analysis
Calculates life expectancy at birth and at any age from the life table. Extends analysis to survival curves and their demographic interpretation.
Lesson 3 • Cause-Specific and Multiple-Decrement Tables
Extends the life table to multiple causes of decrement including cause-specific mortality. Calculates cause-deleted life tables to assess the impact of eliminating a cause.
Lesson 4 • Abridged and Model Life Tables
Introduces abridged life tables and model life table families for data-scarce settings. Students apply model tables to estimate mortality where registration is incomplete.
Lesson 5 • Life Table Construction
Builds a complete period life table from age-specific death rates step by step. Students master each column function and understand the cohort interpretation.

Chapter 6See details

Migration Analysis

Lesson 1 • Measuring Migration Flows
Calculates in-migration, out-migration, net migration, and gross migration rates. Connects flow measures to population change accounting.
Lesson 2 • Migration Data Sources and Quality
Evaluates border statistics, population registers, and survey-based migration data. Addresses coverage gaps and comparability challenges in migration measurement.
Lesson 3 • Theories of Migration Determinants
Reviews push-pull theory, human capital model, and network theory as explanatory frameworks. Connects theoretical predictions to empirical migration patterns observed in data.
Lesson 4 • Migration Selectivity and Differentials
Analyses how migrants differ from non-migrants by age, sex, education, and skill. Applies selectivity concepts to interpret migration's demographic and economic effects.
Lesson 5 • Migration Concepts and Typology
Defines migration, distinguishes internal from international flows, and classifies migration by duration and motivation. Establishes the conceptual vocabulary for all migration measurement.

Chapter 7See details

Population Growth and Projection Methods

Lesson 1 • Cohort-Component Projection Method
Constructs a cohort-component projection by advancing age groups using fertility, mortality, and migration assumptions. Produces age-sex-specific population projections for multiple time horizons.
Lesson 2 • Stable and Stationary Populations
Introduces stable population theory and its relationship to intrinsic growth rates and age structure. Applies stationary population concepts to life table interpretation.
Lesson 3 • Projection Scenarios and Uncertainty
Develops high, medium, and low projection variants by varying component assumptions. Introduces probabilistic projection methods to quantify forecast uncertainty.
Lesson 4 • Population Balancing Equation
Formalises the demographic balancing equation linking births, deaths, and migration to population change. Provides the accounting identity underlying all projection models.
Lesson 5 • Mathematical Growth Models
Applies arithmetic, geometric, and exponential growth models to fit and extrapolate population trends. Students select the appropriate model based on observed growth patterns.

Chapter 8See details

Applied Demographic Analysis and Interpretation

Lesson 1 • Capstone Case Study Analysis
Applies the full analytical workflow to a comprehensive population dataset from data assessment to projection. Consolidates all course competencies in a single integrated exercise.
Lesson 2 • Demographic Data Assessment
Applies systematic data quality checks to census and vital statistics before analysis. Ensures students can identify and adjust for errors prior to drawing conclusions.
Lesson 3 • Communicating Demographic Findings
Develops skills for presenting demographic data through tables, charts, and written summaries. Emphasises clarity, accuracy, and audience-appropriate framing of results.
Lesson 4 • Integrated Population Analysis
Combines fertility, mortality, and migration measures into a unified population analysis. Students synthesise component findings into a coherent demographic profile.
Lesson 5 • Demographic Analysis for Planning
Translates demographic outputs into inputs for health, education, and housing planning. Bridges technical analysis and applied decision-making for non-specialist audiences.

Certification

Your valid completion certificate

This course is for you:

Public health professionals: needing structured population measurement skills for programme work.
Urban planners: seeking demographic tools to support housing and infrastructure decisions.
Graduate students: building a quantitative foundation for social science or policy research.
Government analysts: working with census or vital statistics data without formal training.
International development practitioners: applying population data to resource allocation challenges.
Career changers: moving into data-driven roles that require population analysis competency.

What our students say

Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to change platforms... I'm grateful for everything you do, I've already recommended you to other people...