Universidad Johns Hopkins
About this course:
Learn the basic components of building and applying prediction functions with an emphasis on practical applications. This is the eighth course in the Johns Hopkins Data Science Specialization.
Features:
- Johns Hopkins University
- Starts May 4
- Free
- Language: english
- Verified Certificate
Johns Hopkins University
About this course:
Linear models, as their name implies, relates an outcome to a set of predictors of interest using linear assumptions. Regression models, a subset of linear models, are the most important statistical analysis tool in a data scientist’s toolkit. This course covers regression analysis, least squares and inference using regression models. Special cases of the regression model, ANOVA and ANCOVA will be covered as well. Analysis of residuals and variability will be investigated.
Features:
- Johns Hopkins University
- Starts April 6
- Free
- Language: english
- Verified Certificate
Johns Hopkins University
About this course:
Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical modeling, data oriented strategies and explicit use of designs and randomization in analyses.
Características:
- Johns Hopkins University
- Starts May 4
- Free
- Language: english
- Verified Certificate
Johns Hopkins University
About this course:
This course focuses on the concepts and tools behind reporting modern data analyses in a reproducible manner. Reproducible research is the idea that data analyses, and more generally, scientific claims, are published with their data and software code so that others may verify the findings and build upon them. The need for reproducibility is increasing dramatically as data analyses become more complex, involving larger datasets and more sophisticated computations.
Features:
- Johns Hopkins University
- Starts: May 4
- Free
- English
- Verified Certificate
Johns Hopkins University
About this course:
This course covers the essential exploratory techniques for summarizing data. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the data.
Características:
- Johns Hopkins University
- Starts May 4
- Free
- Language: english with subtitles 中文
- Verified Certificate
Johns Hopkins University
About this course:
Learn the basics of creating data products using Shiny, R packages, and interactive graphics. This is the ninth course in the Johns Hopkins Data Science Specialization.
Features:
- Universidad Johns Hopkins
- Starts May 6
- Free
- Language: english
- Verified Certificate
Universidad Johns Hopkins
Sobre el curso:
Con este curso online gratuito aprenda cómo recolectar, limpiar y gestionar los datos de una variedad de fuentes. Este es el tercer curso en la Universidad Johns Hopkins de Datos Ciencias Especialización.
About this course:
Learn how to gather, clean, and manage data from a variety of sources. This is the third course in the Johns Hopkins Data Science Specialization.
Características:
- Universidad Johns Hopkins
- Inicia Mayo 4
- Gratuito
- Idioma: ingles con subtítulos en 中文
- Certificado de verificación
Features:
- Johns Hopkins University
- Starts May 4
- Free
- Language: english with subtitles 中文
- Verified Certificate
Universidad Johns Hopkins
Sobre el curso:
En este curso online gratuito usted recibirá una introducción a las principales herramientas e ideas en la caja de herramientas de los científicos de datos. El curso ofrece una visión general de los datos, preguntas, y herramientas que los analistas de datos y los científicos trabajan con datos. Hay dos componentes en este curso.
About the course:
In this free online course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, GitHub, R, and RStudio.
Características:
- Universidad Johns Hopkins
- Inicia 4 de mayo
- Gratuito
- Idioma: inglés con subtítulos en italiano, portugués, 中文 y Pусский язык
Features:
- Johns Hopkins University
- Starts: May 4, 2015
- Free
- Language: Englsh with 中文, Italiano, Português & Pусский язык subtitles
- Verified Certificate
Ohio State University
About this course:
This course provides theoretical and practical training on the increasingly popular logistic regression model, which has become the standard analytical method for use with a binary response variable.
Features:
- Ohio State University
- Starts May 11
- Free
- Language: english
University of Central Florida
About this course:
This course examines basic and broad knowledge of economic impact modeling and Tourism Satellite Accounts, focusing on measurement of tourism as an industry. Participants will be guided through senior-level instruction centering on a globally accepted method to measure tourism as an industry. In the end, participants will see tourism from a fascinating new perspective and will see possibilities to change the various regions of the world for the better through tourism. This course is suitable for any student with curiosity about the industry.
Features:
- University of Central Florida
- Starts April 6
- Free
- Language: english
Oklahoma University
About this course
This course is an undergraduate-level introduction to social statistics. The central focus is descriptive, bivariate, and inferential statistics as they are used in social sciences to analyze survey data. Students will be introduced to how statistics are calculated. The class will focus on (1) understanding the intuitive meaning behind a variety of common social statistics, (2) calculating these statistics by hand with commonly-available spreadsheet software, and (3) practical application of statistical procedures.
Features
- Oklahoma University
- Sefl - paced
- Free
- Language: english
- Certificate
University of Zurich
About this course:
This course exposes students to the logic of statistical reasoning and its application in the quantitative social sciences. It is meant as a thorough but accessible introduction to the topics of descriptive statistics, probability theory, and statistical inference with hands-on exercises.
Features:
- University of Zurich
- Starts April 21
- Free
- Language: english
University of Edinburgh
About this course:
This course provides an overview of the United Kingdom's 2015 general election. Join us right up to and through election night as we explore the politics, issues and numbers that give British politics its enduring appeal. This year's election is one of the most exciting and unpredictable in recent memory. Old Westminster certainties like majority governments and the two-party system seem to be under increasing strain. Meanwhile, the implications rise of the Scottish National Party and the decline of the Liberal Democrats are still unclear.
Features:
- University of Edinburgh
- Starts April 27
- Free
- Language: english
Universidad de Toronto
Acerca del curso:
El uso de programas disponibles (principalmente basados en web) para el análisis de datos biológicos. Este es un curso online gratuito introductorio con un fuerte énfasis en los métodos de práctica. Algunos teoría se introduce, pero la atención se centra en el uso de herramientas bioinformáticas existentes para analizar los datos y generar hipótesis biológicas.
Características:
- Universidad de Toronto
- Self-paced
- Gratuito
- Idioma: Inglés
About the course:
Use of available (mainly web-based) programs for analyzing biological data. This is an introductory course with a strong emphasis on hands-on methods. Some theory is introduced, but the main focus is on using extant bioinformatics tools to analyze data and generate biological hypotheses.
Features:
- Toronto University
- Self-paced
- Free
- English
The Icahn School of Medicine at Mount Sinai
About this course:
This course will focus on developing integrative skills through directed reading and analysis of the current primary literature to enable the student to develop the capstone project as the overall final exam for the specialization in systems biology.
Features:
- The Icahn School of Medicine at Mount Sinai
- Starts April 20
- Free
- Language: english
- Verified Certificate
University of Notre Dame
About this course:
The purpose of this course, then is to help you develop a functional, satisfying, and useful life-long relationship with statistics. To achieve that goal, we will take a non-technical approach—you will learn how statistics work and why they are so helpful in evaluating the world of information that is around us. You will learn about the logic of statistical thinking and the concepts (rather than the mathematical details and probability theory) that guide statistical inferences and conclusions.
Features:
- University of Notre Dame
- Starts April 15
- Free
- Language: english
- Verified Certificate
University of Illinois Urbana-Champaign
About this course:
Learn how to take scattered data and organize it into groups for use in many applications, such as market analysis and biomedical data analysis, or as a pre-processing step for many data mining tasks.
Features:
- University of Illinois Urbana-Champaign
- Starts April 27
- Free
- Language: english
- Verified Certificate
University of California, Berkeley
About this Course
Organizations use their data for decision support and to build data-intensive products and services, such as recommendation, prediction, and diagnostic systems. The collection of skills required by organizations to support these functions has been grouped under the term Data Science.
Features:
- University of California, Berkeley
- Starts April 27
- Free
- Language: english
- Verified Certificate
Universidad de Salamanca
Sobre el curso:
Es un curso muy intuitivo, en el que hacemos énfasis en la utilidad que le proporciona al alumno de cualquiera de las disciplinas del conocimiento, ya sean para estudios en ciencias sociales o ciencias de la salud, donde ponemos de manifiesto las ventajas y las limitaciones de cada una de las técnicas.
Características:
- Universidad de Salamanca
- Inicia 8 de abril
- Gratuito
- Idioma: español
Universitat Politècnica de Valencia
Sobre el curso:
En este curso aprenderás las herramientas más habituales de Microsoft Excel, desde lo más básico a los gráficos, funciones y tablas de datos.
Características:
- Universitat Politècnica de Valencia
- Inicia 21 de abril
- Gratuito
- Idioma: español
- Certificado de verificación
