EdX

Quantitative Biology Workshop (edX)

Offered by MIT, MITx,
Quantitative Biology Workshop (edX)

A workshop-style introduction to tools used in biological research. Discover how to analyze data using computational methods. Do you have an interest in biology and quantitative tools? Do you know computational methods but do not realize how they apply to biological problems? Do you know biology but do not understand how scientists really analyze complicated data? 7.QBWx: Quantitative Biology Workshop is designed to give learners exposure to the application of quantitative tools to analyze biological data at an introductory level.

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

The Biology Department of MIT has run this workshop-style course as part of a one-week outreach program for students from other universities. With 7.QBWx, we can give more learners from around the world the chance to discover quantitative biology. We hope that this series of workshops encourages learners to explore new interests and take more biology and computational courses.

We expect that learners from 7.00x Introduction to Biology – The Secret of Life or an equivalent course can complete this workshop-based course without a background in programming. The course content will introduce programming languages but will not teach any one language in a comprehensive manner. The content of each week varies. We want learners to have an introduction to multiple languages and tools to find a topic that they would want to explore more. We recommend that learners try to complete each week to find what interests them the most.
This workshop includes activities on the following biological topics: population biology, biochemical equilibrium and kinetics, molecular modeling of enzymes, visual neuroscience, global and single-cell gene expression, development, and genomics. The tools and programming languages include MATLAB, PyMOL, Python, and R. This course does not require learners to download MATLAB. All MATLAB activities run and are graded within the edX platform. We do recommend that participants download a few other free tools for the activities so that they learn how to use the same tools and programs that scientists use.

What you'll learn:

  • Apply quantitative methods to biological problems
  • Define computational vocabulary
  • Write Python, MATLAB, and R code to analyze biological data
  • Examine any protein structure in PyMOL
  • Analyze how to answer a scientific question through a step-by-step thought process.

Prerequisites:
7.00x Introduction to Biology or similar (biochemistry, molecular biology, and genetics). Programming experience is not required. An introduction to MATLAB, Python, and R is included.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Analyzing and Visualizing Data with Power BI (edX) EdX
Davidson College,DavidsonX

Analyzing and Visualizing Data with Power BI (edX)

Statistics & Data Analysis Computer Science

Step up your analytics game and learn one of the most in-demand job skills in the United States. Power BI is a robust business analytics and visualization tool from Microsoft that helps data professionals bring their data to life and tell more meaningful stores. This four-week course is a beginner's guide to working with data in Power BI and is perfect for professionals. You'll become confident in working with data, creating data visualizations, and preparing reports and dashboards.

Self Paced
Self-Paced
Data Analysis Data Visualization Power BI
Details
Irrigation Efficiency: more food with less water (edX) EdX
KU Leuven University,KULeuvenX

Irrigation Efficiency: more food with less water (edX)

Sci: Biology & Life Sciences Engineering

Learn to improve the efficiency of different irrigation system components over varying scales in order to extract less water from our resources while producing more food. How can we meet the demands of our ever hungrier and thirstier world? Irrigation water uses 70% of the fresh water extraction worldwide to produce 40% of the food.

Self Paced
Self-Paced
Biology Water Productivity
Details
Cell Biology: Mitochondria (edX) EdX
HarvardX,Harvard University

Cell Biology: Mitochondria (edX)

Sci: Biology & Life Sciences

A human-centered approach to the fundamentals of cell biology with a focus on the power plants of the cell - mitochondria. The cell is a powerful case study to help us explore the functional logic of living systems. All organisms, from single-celled algae to complex multicellular organisms like us, are made up of cells. In this course, you will learn the how and why of biology by exploring the function of the molecular components of cells, and how these cellular components are organized in a complex hierarchy.

Self Paced
Self-Paced
Biology Metabolism Cell Biology
Details
Datos para la efectividad de las políticas públicas (edX) EdX
Inter-American Development Bank - IDB,IDBx

Datos para la efectividad de las políticas públicas (edX)

Management & Leadership Economics & Finance

Este curso te ayudará a tomar el control de los datos y familiarizarte con las herramientas para utilizarlos en la planificación, gestión y evaluación de políticas publicas. En esta era de la información, los datos están disponibles en todos lados y crecen a una tasa exponencial. ¿Cómo podemos darles sentido a todos los datos y aprovecharlos en el momento de tomar decisiones?, ¿cómo los utilizamos para que nos ayuden a guiar la gestión y planificación de nuestras políticas? Tanto si eres ciudadano como planificador de políticas, deberías poder responder a estas preguntas.

Self Paced
Self-Paced
Data Data Analysis Datalogy
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
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
Essentials of Genomics and Biomedical Informatics (edX) EdX
IsraelX

Essentials of Genomics and Biomedical Informatics (edX)

Sci: Biology & Life Sciences Medicine & Pharmacology

This course presents clinicians and digital health enthusiasts with an overview of the data revolution in medicine and how to exploit it for research and in the clinic. The course will not make you a bioinformatician but will introduce the main concepts, tools, algorithms, and databases in this field.

Self Paced
5-12 Weeks
Health Artificial Intelligence Machine Learning
Details
Basics of Statistical Inference and Modelling Using R (edX) EdX
University of Canterbury,UCx

Basics of Statistical Inference and Modelling Using R (edX)

Sci: Mathematics Statistics & Data Analysis

Learn why a statistical method works, how to implement it using R and when to apply it and where to look if the particular statistical method is not applicable in the specific situation. Basics of Statistical Inference and Modelling Using R is part one of the Statistical Analysis in R professional certificate.

Self Paced
Self-Paced
Statistics Modeling Data Analysis
Details
Principles of Biochemistry (edX) EdX
HarvardX,Harvard University

Principles of Biochemistry (edX)

Sci: Biology & Life Sciences

This introduction to biochemistry explores the molecules of life, starting at simple building blocks and culminating in complex metabolism. Principles of Biochemistry integrates an introduction to the structure of macromolecules and a biochemical approach to cellular function. Topics addressing protein function will include enzyme kinetics, the characterization of major metabolic pathways and their interconnection into tightly regulated networks, and the manipulation of enzymes and pathways with mutations or drugs.

Self Paced
Self-Paced
Biology Biochemistry Molecules
Details
Advanced Statistical Inference and Modelling Using R (edX) EdX
University of Canterbury,UCx

Advanced Statistical Inference and Modelling Using R (edX)

Sci: Mathematics Statistics & Data Analysis

Extend your knowledge of linear regression to the situations where the response variable is binary, a count, or categorical as well as to hierarchical experimental set-up. Advanced Statistical Inference and Modelling Using R is part two of the Statistical Analysis in R professional certificate. This course is directed at people who are already familiar with basic linear regression and fundamentals of statistical inference. It extends the knowledge of linear regression to the situations where the response variable is binary, a count, or categorical as well as to hierarchical experimental set-up.

Self Paced
Self-Paced
Modeling Data Analysis Linear Regression
Details
Analytics for Decision Making (edX) EdX
Babson College

Analytics for Decision Making (edX)

Management & Leadership Statistics & Data Analysis

Discover the foundational concepts that support modern data science and learn to analyze various data types and quality to make smart business decisions. Want to know how to avoid bad decisions with data? Making good decisions with data can give you a distinct competitive advantage in business. This statistics and data analysis course will help you understand the fundamental concepts of sound statistical thinking that can be applied in surprisingly wide contexts, sometimes even before there is any data! Key concepts like understanding variation, perceiving relative risk of alternative decisions, and pinpointing sources of variation will be highlighted.

Self Paced
Self-Paced
Data Analysis Decision Making Analytics
Details