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Manejo de Crisis Epilépticas y Promoción de la Inclusión Social
by Claudia Bustamante Troncoso , Claudia Alcayaga Rojas- 4.9
Approx. 14 hours to complete
La epilepsia es una enfermedad crónica, y que en términos clínicos ha sido muy estudiada, sin embargo, las mayores complicaciones que enfrentan las personas que la presentan están fuertemente vinculadas a la percepción del entorno, a mitos y creencias que dificultan sus oportunidades de participación. Módulo 1: Crisis epiléptica y ¿Qué es la epilepsia?...
Skills for Nursing Informatics Leaders
by Karen Monsen, Ph.D., RN, FAAN- 4.7
Approx. 18 hours to complete
In this first of our five courses, Dr. Karen Monsen introduces the nursing informatics leadership essentials and skills that will guide you through your studies as you apply leadership principles to the nursing informatics specialty. Course Objectives: • Describe essentials of nursing informatics leadership to gain a foundation for study in this specialization...
Qualitative Data Collection Methods
by Karen Andes, PhD- 0.0
Approx. 14 hours to complete
This course presents a detailed overview of qualitative methods of data collection, including observation, interviews, and focus group discussions. We will start with an in-depth overview of each method, explore how to plan for data collection, including developing data collection guides, and discuss techniques for managing data collection. g. non-participant observation)....
医学统计学与SPSS软件(基础篇)
by 何 平平- 4.7
Approx. 11 hours to complete
本课程适用于医学各专业的学生以及医疗卫生工作者。 课程包括基础统计学方法及SPSS软件应用:绪论、统计描述、t检验、方差分析、卡方检验、直线回归与相关、秩和检验。通过本课程的学习,学生能掌握医学统计学的基本方法及SPSS软件的应用技能,培养统计思维能力,并在医学科研工作中能灵活地、正确地运用统计学。 第一周 绪论 关于课程. . . . . . 1-1 医学统计学中的基本概念(1) 1-2 医学统计学中的基本概念(2) 1-3 SPSS软件基本数据管理功能(1) 1-4 SPSS软件基本数据管理功能(2) 学习指南 1-3 数据文件 1-4 数据文件 文献 第一周 测验 第二周 统计描述 2-1 数值变量的分布类型 2-2 数值变量的统计描述 2-3 分类变量的统计描述 2-4 SPSS软件的应用 2-1 数据文件 2-3 数据文件 文献 第二周测验 第三周 两组数值变量比较的假设检验 3-1 均数的抽样误差与总体均数的估计 3-2 假设检验的基本原理 3-3 三种研究设计类型的t检验 3-4 假设检验的注意事项...
Qualitative Data Analysis with MAXQDA Software
by Karen Andes, PhD- 4.6
Approx. 16 hours to complete
This course will introduce you to MAXQDA software for easier data analysis during the qualitative research process. You'll explore how to do memos, variables, segmentation, coding, and data reduction techniques all in this course! Introduction to Qualitative Data Analysis Welcome to the Course! Tools Processes Greetings from MAXQDA! Getting Started in MAXQDA...
Plant Bioinformatics
by Nicholas James Provart- 4.8
Approx. 14 hours to complete
The past 15 years have been exciting ones in plant biology. Hundreds of plant genomes have been sequenced, RNA-seq has enabled transcriptome-wide expression profiling, and a proliferation of "-seq"-based methods has permitted protein-protein and protein-DNA interactions to be determined cheaply and in a high-throughput manner. " Tools covered: Module 1: GENOMIC DBs / PRECOMPUTED GENE TREES / PROTEIN TOOLS....
Integrated Analysis in Systems Biology
by Susana Neves, PhD- 4.6
Approx. 4 hours to complete
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. General Features of Systems Biology Studies Lecture 1 - Experimental Design Lecture 2A - Introduction to Research Article 1- Part 1...
Culminating Project in Health Informatics
by Ashwini S. Davison, M.D. , Harold P. Lehmann, MD, Ph.D.- 4.8
Approx. 14 hours to complete
This capstone course in the Health Informatics Specialization will allow learners to create a comprehensive plan for an informatics intervention of their choosing, and that will demonstrate to current or future employers the new skills obtained through the completion of this series of five courses in Health Informatics. Translating an "As Is" and "To Be" into a Stack Analysis...
HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Social/Peer Perspective)
by Rita Kukafka- 4.7
Approx. 14 hours to complete
HI-FIVE (Health Informatics For Innovation, Value & Enrichment) Training is an approximately 10-hour online course designed by Columbia University in 2016, with sponsorship from the Office of the National Coordinator for Health Information Technology (ONC). The training is role-based and uses case scenarios. No additional hardware or software are required for this course....
Biology Meets Programming: Bioinformatics for Beginners
by Pavel Pevzner , Phillip Compeau- 4.3
Approx. 19 hours to complete
Are you interested in learning how to program (in Python) within a scientific setting? This course will cover algorithms for solving various biological problems along with a handful of programming challenges helping you implement these algorithms in Python. It offers a gently-paced introduction to our Bioinformatics Specialization (https://www. coursera. coursera. org/learn/dna-analysis)....