Data Science x Public Health

By: BJANALYTICS

Language: en-us

Categories: Education, Courses, How To

This episode discusses the concepts of data science and public health, and then delves into their intersection, exploring the connection between the two fields in greater detail.

Episodes

Understanding Chi-Square Tests and Regression in Biostatistics

Dec 15, 2025

In this episode, we break down Chi-square tests and regression analysis in biostatistics using clear, beginner-friendly explanations. You will learn the differences between simple and multiple regression, when to use a Chi-square test, and how confounding and effect modification can impact your results.

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Duration: 00:13:51

What are the Different Types of Epidemiology?

Dec 15, 2025

In this episode, we explore the different types of epidemiology, including infectious disease epidemiology, environmental epidemiology, genetic epidemiology, and cancer epidemiology. This lesson is designed for beginners who want to understand what each category focuses on and why these areas are important in epidemiology. Each category is explained using simple examples to help you connect theory to practice.

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Duration: 00:12:16

SAS Programming in Public Health: Basic Coding Session

Dec 15, 2025

In this episode, we introduce SAS programming for public health with a beginner-friendly coding session focused on obesity data. You will learn how SAS is used in public health and how to write simple SAS code to analyze health outcomes.

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Duration: 00:10:56

Biostatistics Basics: Confidence Intervals, P Values, and Tests

Dec 12, 2025

Learn core biostatistics concepts used in public health. This episode explains parametric and non parametric data, confidence intervals, p values, and common statistical tests. You will see how to calculate a confidence interval, when to choose parametric versus non parametric tests, and a step by step example that walks through calculating and interpreting a p value.

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Duration: 00:14:22

Epidemiologist Career Roadmap

Dec 12, 2025

Learn how to become an epidemiologist with this simple beginner-friendly roadmap. In this episode, you’ll discover the typical work environment, required education, job outlook, important skills, and the different areas epidemiologists specialize in. We also walk through a basic example of the data collection steps used in real public health research.

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Duration: 00:11:32

What is Public Health Analytics?

Dec 12, 2025

Learn what public health analytics is and why it plays a crucial role in modern public health practice. In this beginner friendly episode, we break down what public health analysts do, the importance of data driven decision making, and how analytics connects to data science. We will also walk through a simple real world task that a public health analyst might complete on the job.

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Duration: 00:10:41

Infrastructure and Management Branches of Data Science Explained
Dec 10, 2025

Learn the key infrastructure and management branches of data science—including big data analytics, data warehousing, and cloud computing—and see how they’re applied in real public health settings. This beginner-friendly lesson breaks down each branch in simple terms and walks through step-by-step examples to help you understand how public health organizations store, manage, and analyze data at scale.
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Duration: 00:13:43

Descriptive Statistics Further Explained (Part 2)
Dec 10, 2025

This episode expands on the foundational descriptive statistics covered in the quantitative data episode. We take a deeper look at populations, samples, continuous and categorical variables, and how they are used throughout public health and biostatistics. You’ll also learn how measures like mean, median, mode, variance, standard deviation, and outliers support real-world public health decisions.
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Duration: 00:14:53

Predictive Modeling in Epidemiology
Dec 10, 2025

Learn how predictive modeling is used in epidemiology and why it matters in modern public health decision making. In this episode, we break down three major programming languages used in data science and epidemiology — Python, R, and SAS — and show how each language supports analysis, prediction, and real world public health tasks.
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Duration: 00:13:08

What Is Quantitative Data? (Part One)
Dec 09, 2025

Learn the basics of quantitative statistics and how numerical data is used in research, public health, biostatistics, and data science. This episode breaks down key concepts in a simple way—perfect for beginners who want to understand variables, measures, and how quantitative data helps answer real-world questions.
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Duration: 00:15:47

What Is Surveillance in Epidemiology?
Dec 09, 2025

In this episode, we break down the meaning of surveillance in epidemiology—what it is, why it matters, and how it is used to protect communities and guide public health decisions. This beginner-friendly lesson walks you through the surveillance process, key functions of epidemiologic surveillance, and an easy step-by-step real-world example showing exactly how surveillance works from detection to public health action.
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Duration: 00:14:19

Understanding NLP, Computer Vision, & Deep Learning in Public Health | Data Science
Dec 09, 2025

In this episode, we break down the application-specific branches of data science—including Natural Language Processing (NLP), Computer Vision, and Deep Learning (Neural Networks, CNNs, RNNs). You’ll learn what each branch means in simple terms, why these techniques matter in public health, and how they’re applied using real-world examples.
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Duration: 00:13:37

Population vs Sample: Simple Explanation for Beginners
Dec 06, 2025

Learn the basics of populations, samples, continuous variables, and categorical variables in biostatistics. In this episode, we explain why these concepts are essential in public health and how they’re used in real data. We also walk through an example problem to help beginners understand the process.
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Duration: 00:14:32

What is an Epidemiological Outbreak?
Dec 06, 2025

Learn the basics of outbreaks in epidemiology. In this episode, we explain what outbreaks are, how they’re detected, how they spread, how they are predicted, and the steps used to solve them. We also walk through real outbreak examples in the United States and break down a simple step-by-step problem to help beginners understand the process.
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Duration: 00:15:18

Core Branches of Data Science Explained
Dec 05, 2025

This episode breaks down the core branches of data science — including machine learning, data engineering, data analysis, business intelligence, data mining, statistics, and probability — and explains how each plays a powerful role in the field of public health.
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Duration: 00:12:19

What is Biostatistics?
Dec 04, 2025

In this episode, you’ll learn what biostatistics is, why it’s essential in public health, and how it connects with epidemiology and data science.
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Duration: 00:11:56

Understanding Epidemiology: What It Is and Why It Matters
Dec 03, 2025

Learn the fundamentals of Epidemiology in this beginner-friendly episode. We cover what Epidemiology is, why it’s important in public health, how it connects to data science, and the role of an Epidemiologist.
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Duration: 00:16:06

Data Science x Public Health
Dec 03, 2025

This first new episode discusses the concepts of data science and public health, and then delves into their intersection, exploring the connection between the two fields in greater detail.
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Duration: 00:14:11