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
How Biostatistics Builds New Drugs
Jan 09, 2026How are new drugs actually developed—and where does biostatistics fit in?
In this episode, you’ll learn what pharmaceutical product development is, how biostatistics is used throughout the drug development process, and why statistics play a critical role in turning research into approved medicines.
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Duration: 00:03:51Is Herpetology Part of Epidemiology?
Jan 09, 2026What does herpetology have to do with epidemiology?
In this episode, we break down what herpetology actually studies, why it’s often confused with epidemiology, and where the two fields truly connect through disease ecology and the One Health approach. This beginner-friendly explanation shows how studying reptiles and amphibians can help epidemiologists understand disease transmission, environmental risk, and population-level health.
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Duration: 00:04:43Why Public Health Needs AI Engineers
Jan 09, 2026What does an AI engineer do in public health?
In this episode, we explain what artificial intelligence engineers are, how they work in the public health field, and why their role is becoming increasingly important. You’ll learn where AI engineers typically work, the tools they use, and how AI supports disease surveillance, health analytics, and population-level decision-making.
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Duration: 00:04:09Biometry: The Missing Piece in Biostatistics
Jan 07, 2026Biometry is a term you’ll often see in biostatistics and public health—but what does it actually mean?
In this episode, we break down what biometry is, how it relates to biostatistics, and why it plays an important role in public health research and data analysis. This beginner-friendly overview explains the key differences between biometry and biostatistics and shows where biometry is used in real-world public health applications.
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Duration: 00:10:13What is Cloud Computing in Public Health?
Jan 07, 2026Cloud computing isn’t just for tech companies—it’s transforming public health. Learn what cloud computing is, how it’s applied in public health and data science, and why it’s essential for modern health initiatives.
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Duration: 00:04:57Why Cholera Still Matters
Jan 07, 2026Cholera may seem like a disease of the past, but it remains critical in public health and epidemiology. Learn what cholera is, how it spreads, and why understanding it is essential for protecting populations.
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Duration: 00:08:27How DNA Solves Disease Outbreaks
Jan 05, 2026Molecular epidemiology helps public health experts track, understand, and control disease outbreaks using genetic data. In this episode, you’ll learn what molecular epidemiology is, why it’s important in public health, and how it’s used in real-world epidemiology practice. This beginner-friendly explanation breaks down key concepts, common techniques, and practical examples.
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Duration: 00:05:01The Science Behind Computational Biology
Jan 05, 2026Computational biology uses computer science, data analysis, and statistics to understand complex biological and health-related data. In this episode, you’ll learn what computational biology is, how it connects to biostatistics, why it’s important in research and public health, and how these fields work together in real-world applications.
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Duration: 00:04:07Nuclear Fusion Explained: Why It Matters for Public Health
Jan 05, 2026Nuclear fusion is often discussed as the future of clean energy—but what does it mean for public health? In this episode, you’ll learn what nuclear fusion is, why it’s gaining attention now, and how it could impact population health, environmental safety, and long-term health outcomes. We’ll also explore the role of public health professionals and data science in evaluating fusion’s benefits, risks, and real-world implications.
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Duration: 00:15:01How Do Researchers Predict Survival?
Dec 22, 2025This special edition episode closes out the year. Happy holidays, and thank you for your continued support. New weekly uploads resume on January 5, 2026.
Survival analysis is a core method in biostatistics used to study time-to-event data, especially in medical and public health research. In this episode, we break down survival analysis in simple terms, explain why it matters, and discuss how it’s used in real-world studies.
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Duration: 00:12:25The Salk Vaccine: A Turning Point in Epidemiology
Dec 22, 2025This special edition episode closes out the year. Happy holidays, and thank you for your continued support. New weekly uploads resume on January 5, 2026.
The Salk vaccine was a major turning point in public health and epidemiology.
In this episode, we explain what the Salk vaccine was, why it was developed, how it helped stop polio, and how large-scale vaccine trials changed disease surveillance and public health practice.
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Duration: 00:10:41Healthy People 2030: The Blueprint Behind U.S Public Health
Dec 22, 2025This special edition episode closes out the year. Happy holidays, and thank you for your continued support. New weekly uploads resume on January 5, 2026.
Healthy People 2030 is a national framework that guides public health goals across the United States—but what does it actually do, and why does it matter?
In this episode, we break down Healthy People 2030 in simple terms, explain how it works, explore its key goals and focus areas, and show you what kind of data and resources you can find on the Healthy People 2030 website.
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What Is "Freedom" in Biostatistics? (Degrees of Freedom Explained)
Dec 19, 2025What does “degrees of freedom” really mean in biostatistics—and why does it matter?
In this episode, we break down degrees of freedom in simple terms, explain how it’s used in biostatistics, and walk through the formula step by step so you understand what each part represents.
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Duration: 00:11:21How Epidemiology Prevents Disease Before It Gets Worse
Dec 19, 2025Public health doesn’t just treat disease — it works to prevent it at every stage.
In this episode, you’ll learn how epidemiology uses three levels of prevention to reduce disease impact before it starts, detect it early, and manage long-term outcomes. Using a tuberculosis example, this episode walks step-by-step through how prevention works in real-world public health practice.
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Duration: 00:10:37Is a Computer Science Degree the Secret Weapon for an MPH?
Dec 19, 2025Public health is changing fast, and technical skills are becoming more important than ever. In this episode, we break down how a Computer Science degree can support a Master of Public Health program and open doors to modern public health careers.
You’ll learn what each degree focuses on, the skills you gain from both programs, how Computer Science tools can be used during an MPH, and the types of careers this combination can lead to.
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Duration: 00:14:12How Do Epidemiologists Decide What Approach to Use?
Dec 17, 2025How do epidemiologists decide which approach to use when studying health problems?
In this episode, you’ll learn what an epidemiological approach is, why it matters, and how it guides research decisions in public health. We’ll break down descriptive and analytical epidemiology, hypothesis generation, intervention and evaluation, and explain how study designs like randomized controlled trials, cohort studies, and case-control studies fit into the process. We’ll also touch on modern methods such as statistical modeling, systems dynamics, and Bayesian approaches.
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Duration: 00:14:163 Public Health Pillars That Shape Your Life
Dec 17, 2025Public health is founded on three key pillars: promotion, prevention, and protection. In this episode, you’ll learn what each pillar means, why they are important in public health practice, and how they are applied with simple, real-world examples. This beginner-friendly explanation shows how public health strategies impact daily life.
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Duration: 00:15:49Why Z Tests, T Tests, and ANOVA Matter in Biostatistics
Dec 17, 2025Parametric tests are some of the most commonly used tools in biostatistics. In this episode, you’ll learn what parametric tests are, why sampling matters, and how Z tests, T tests, and ANOVA are used in biostatistical analysis. This explanation focuses on concepts to help you build a strong foundation in biostatistics.
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Duration: 00:04:38Understanding Chi-Square Tests and Regression in Biostatistics
Dec 15, 2025In 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: 00:13:51What are the Different Types of Epidemiology?
Dec 15, 2025In 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: 00:12:16SAS Programming in Public Health
Dec 15, 2025In this episode, we introduce SAS programming for public health, focusing on obesity data. You will learn how SAS is used in public health and explore simple SAS code for analyzing health outcomes.
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Duration: 00:10:56Biostatistics Basics: Confidence Intervals, P Values, and Tests
Dec 12, 2025Learn 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: 00:14:22Epidemiologist Career Roadmap
Dec 12, 2025Learn 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: 00:11:32What is Public Health Analytics?
Dec 12, 2025Learn 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: 00:10:41Infrastructure and Management Branches of Data Science Explained
Dec 10, 2025Learn 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: 00:13:43Predictive Modeling in Epidemiology
Dec 10, 2025Learn 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: 00:13:08Descriptive Statistics Further Explained (Part 2)
Dec 10, 2025This 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: 00:14:53What Is Quantitative Data? (Part One)
Dec 09, 2025Learn 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: 00:15:47What Is Surveillance in Epidemiology?
Dec 09, 2025In 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: 00:14:19Understanding NLP, Computer Vision, & Deep Learning in Public Health | Data Science
Dec 09, 2025In 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: 00:13:37Population vs Sample: Simple Explanation for Beginners
Dec 06, 2025Learn 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: 00:14:32What is an Epidemiological Outbreak?
Dec 06, 2025Learn 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: 00:15:18Core Branches of Data Science Explained
Dec 05, 2025This 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: 00:12:19What is Biostatistics?
Dec 04, 2025In 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: 00:11:56Understanding Epidemiology: What It Is and Why It Matters
Dec 03, 2025Learn 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: 00:16:06Data Science x Public Health
Dec 03, 2025This 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