EdX

Introduction to Applied Biostatistics: Statistics for Medical Research (edX)

Offered by Osaka University,
Introduction to Applied Biostatistics: Statistics for Medical Research (edX)

Learn data analysis for medical research with practical hands-on examples using R Commander. Want to learn how to analyze real-world medical data, but unsure where to begin? This Applied Biostatistics course provides an introduction to important topics in medical statistical concepts and reasoning.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

Each topic will be introduced with examples from published clinical research papers; and all homework assignments will expose learner to hands-on data analysis using real-life datasets. This course also represents an introduction to basic epidemiological concepts covering study designs and sample size computation. Open-source, easy-to-use software will be used such as R Commander and PS sample size software.

What you'll learn:

  • Important topics in medical statistical concepts and reasoning
  • Epidemiological Study Designs
  • Data analysis using R Commander
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Statistics and R (edX) EdX
HarvardX,Harvard University

Statistics and R (edX)

Sci: Biology & Life Sciences Statistics & Data Analysis

An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences. We will learn the basics of statistical inference in order to understand and compute p-values and confidence intervals, all while analyzing data with R. We provide R programming examples in a way that will help make the connection between concepts and implementation.

Self Paced
Self-Paced
Statistics Data Analysis Statistical Inference
Details
Analyzing Data with Excel (edX) EdX
IBM

Analyzing Data with Excel (edX)

Statistics & Data Analysis

Build the fundamental knowledge required to use Excel spreadsheets to perform basic data analysis. The course covers the basic workings and key features of Excel to help students analyze their data. This course provides students with the fundamental knowledge required to use Excel spreadsheets to perform basic data analysis.The course consists of several videos, demos, examples, and hands-on labs to help you learn, and ends with a final assignment project which will help you put what you have learned into practice.

Self Paced
Self-Paced
Data Spreadsheets Excel
Details
Statistical Inference and Modeling for High-throughput Experiments (edX) EdX
HarvardX,Harvard University

Statistical Inference and Modeling for High-throughput Experiments (edX)

Sci: Biology & Life Sciences Statistics & Data Analysis

A focus on the techniques commonly used to perform statistical inference on high throughput data. In this course you’ll learn various statistics topics including multiple testing problem, error rates, error rate controlling procedures, false discovery rates, q-values and exploratory data analysis. We then introduce statistical modeling and how it is applied to high-throughput data. In particular, we will discuss parametric distributions, including binomial, exponential, and gamma, and describe maximum likelihood estimation.

Self Paced
Self-Paced
Statistics Modeling Statistical Inference
Details
Observation Theory: Estimating the Unknown (edX) EdX
Delft University of Technology,DelftX

Observation Theory: Estimating the Unknown (edX)

Engineering Sci: Mathematics

Learn how to estimate parameters from observational data for real-world engineering applications and assess the quality of the results. Are you an engineer, scientist or technician? Are you dealing with measurements or big data, but are you unsure about how to proceed? This is the course that teaches you how to find the best estimates of the unknown parameters from noisy observations. You will also learn how to assess the quality of your results.

Self Paced
Self-Paced
Data Analysis Mathematical Models Observation Theory
Details
Analyzing Data with R (edX) EdX
IBM

Analyzing Data with R (edX)

Statistics & Data Analysis

R is the key that opens the door between the problems you want to solve with data and the answers you need. This course walks you through the process of answering questions through data. The R programming language is purpose-built for data analysis. R is the key that opens the door between the problems you want to solve with data and the answers you need to meet your objectives.

Self Paced
Self-Paced
Data Data Analysis ANOVA
Details
Excel avanzado: importación y análisis de datos (edX) EdX
Universitat Politècnica de València,UPValenciaX

Excel avanzado: importación y análisis de datos (edX)

CS: Information & Technology Statistics & Data Analysis

Conoce técnicas y estrategias avanzadas para importar, consolidar y visualizar con Excel datos provenientes de cualquier fuente. En este curso de análisis e interpretación de datos te presentaremos técnicas avanzadas de importación de datos y estrategias diversas para consolidarlos y prepararlos una vez importados de forma que puedas extraer las conclusiones que necesitas (basadas en nuestra experiencia en el uso de Microsoft Excel y demostradas con casos reales).

Self Paced
Self-Paced
Excel Microsoft Big Data
Details
Estadística Aplicada a los Negocios (edX) EdX
Galileo University,GalileoX

Estadística Aplicada a los Negocios (edX)

Statistics & Data Analysis

Aprende las principales herramientas y técnicas de la estadística descriptiva y la estadística inferencial para analizar e interpretar datos desde la perspectiva de negocios facilitando la toma de decisiones. Este curso proporciona una introducción al análisis de datos en base a las principales herramientas estadísticas, enfocándose en la estadística descriptiva y la estadística inferencial.

Self Paced
Self-Paced
Statistics Econometrics Data Analysis
Details
Introduction to Digital Humanities (edX) EdX
HarvardX,Harvard University

Introduction to Digital Humanities (edX)

Humanities Computer Science

Develop skills in digital research and visualization techniques across subjects and fields within the humanities. This course will show you how to manage the many aspects of digital humanities research and scholarship. Whether you are a student or scholar, librarian or archivist, museum curator or public historian — or just plain curious — this course will help you bring your area of study or interest to new life using digital tools.

Self Paced
Self-Paced
Data Analysis Command Line Interface Digital Humanities
Details
Case Studies in Functional Genomics (edX) EdX
HarvardX,Harvard University

Case Studies in Functional Genomics (edX)

Sci: Biology & Life Sciences Statistics & Data Analysis

Perform RNA-Seq, ChIP-Seq, and DNA methylation data analyses, using open source software, including R and Bioconductor. We will explain how to perform the standard processing and normalization steps, starting with raw data, to get to the point where one can investigate relevant biological questions.

Self Paced
Self-Paced
Data Analysis Biological Data Genomics
Details
Excel for Everyone: Core Foundations (edX) EdX
The University of British Columbia,UBCx

Excel for Everyone: Core Foundations (edX)

Statistics & Data Analysis

Learn Excel fundamentals including data wrangling, spreadsheet management, and basic data analysis. This introductory Excel course will equip you with a strong foundational knowledge of Excel to organize, analyze and work with data. You will develop essential Excel skills, such as simple data wrangling and managing spreadsheets, along with a foundational understanding of business data analysis.

Self Paced
Self-Paced
Spreadsheets Excel Data Analysis
Details
How to analyze a microbiome (edX) EdX
KU Leuven University,KULeuvenX

How to analyze a microbiome (edX)

Sci: Biology & Life Sciences Statistics & Data Analysis

Learn common analysis techniques to make sense of microbial sequencing data. Microorganisms play a major role in the biosphere and within our bodies, but only a tiny fraction has been cultured so far. Microbiome data, that is the genetic information of microorganisms, is therefore an important window into the hidden microbial world.

Self Paced
Self-Paced
Biology Data Analysis Microbiome
Details