Survey methodology | Design of experiments
Data collection or data gathering is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes. Data collection is a research component in all study fields, including physical and social sciences, humanities, and business. While methods vary by discipline, the emphasis on ensuring accurate and honest collection remains the same. The goal for all data collection is to capture quality evidence that allows analysis to lead to the formulation of convincing and credible answers to the questions that have been posed. Data collection and validation consists of four steps when it involves taking a census and seven steps when it involves sampling. Regardless of the field of or preference for defining data (quantitative or qualitative), accurate data collection is essential to maintain research integrity. The selection of appropriate data collection instruments (existing, modified, or newly developed) and delineated instructions for their correct use reduce the likelihood of errors. A formal data collection process is necessary as it ensures that the data gathered are both defined and accurate. This way, subsequent decisions based on arguments embodied in the findings are made using valid data. The process provides both a baseline from which to measure and in certain cases an indication of what to improve. There are 5 common data collection methods: 1. * closed-ended surveys and quizzes, 2. * open-ended surveys and questionnaires, 3. * 1-on-1 interviews, 4. * focus groups, and 5. * direct observation. (Wikipedia).
Data science describes the activities related to collecting, storing and creating value from data. Creating value from data means using it to do useful things, like making better decisions. By analyzing data we can detect patterns in it and understand the process that generated it. This i
From playlist Data Science Dictionary
Data Visualization: Types of Data
Here I introduce different types of data and highlight common ways to visualize them. Bing Brunton's website: www.bingbrunton.com
From playlist Intro to Data Science
Intro to Data Science: What is Data Science?
This lecture provides an overview of the various components of data science, including data collection, cleaning, and curation, along with visualization, analysis, and machine learning (i.e. building models with data). These will be some of the topics discussed in this lecture series.
From playlist Intro to Data Science
This video introduces data visualization as a tool for exploring and communicating with data. Bing Brunton's website: www.bingbrunton.com
From playlist Intro to Data Science
Find a Data Science Project With These 3 Techniques
In this video I will highlight the 3 techniques that I use to discover projects to work on. Many people I talk to struggle to come up with data science projects. To me, identifying problems and digging into them is one of the most important parts of becoming a data scientist to begin wit
From playlist Data Science Projects
Data Science Tutorial for Beginners - 1 | What is Data Science? | Data Analytics Tools | Edureka
( Data Science Training - https://www.edureka.co/data-science ) Data Science Blog Series: https://goo.gl/1CKTyN http://www.edureka.co/data-science Please write back to us at sales@edureka.co or call us at +91-8880862004 for more information. Data Science is all about extracting knowledge
From playlist Data Science Training Videos
This is how data science works! Watch this presentation to see a lot of great examples from the field of data science. PUBLICATION PERMISSIONS: Original video was published with the Creative Commons and Attribution license (reuse allowed). Link: https://www.youtube.com/watch?v=jSaseNL8RDE
From playlist Data Science
Intro to Data Science: The Nature of Data
This lecture discusses the types of data you might encounter, and how it determines which techniques to use. Book website: http://databookuw.com/ Steve Brunton's website: eigensteve.com
From playlist Intro to Data Science
Intro to Data Science: Historical Context
This lecture provides some historical context for data science and data-intensive scientific inquiry. Book website: http://databookuw.com/ Steve Brunton's website: eigensteve.com
From playlist Intro to Data Science
2. Data Collection Techniques and Program Design
MIT 1.258J Public Transportation Systems, Spring 2017 Instructor: Nigel Wilson, Gabriel Sanchez-Martinez, Neema Nassir View the complete course: https://ocw.mit.edu/1-258JS17 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP62AU7iNniqVoMl8C64tIOVk This lecture discussed
From playlist MIT 1.258J Public Transportation Systems, Spring 2017
How to Collect Data: Study Hall Data Literacy #4: ASU + Crash Course
We've talked about data visualization, but how do we get that data to begin with? There are a lot of different ways we can get information from or about people so we can start to see meaningful stories. In this episode of Study Hall: Data Literacy, Jessica Pucci talks us through some of th
From playlist Study Hall: Data Literacy
Crud Operations In MongoDB | MongoDB CRUD Operations With Examples | MongoDB Training | Edureka
(** MongoDB Certification Training - https://www.edureka.co/mongodb **) This Edureka CRUD Application in MongoDB video covers in-depth knowledge about how to perform Create, Read, Update & Delete operations in MongoDB. The topics covered in this video are: Creating Database Creating Colle
From playlist MongoDB Dev & Admin Tutorial Videos
Objects and Data Collections in Early Scientific Disciplines - Anja-Silvia Goeing - May 23, 2013
This talk is part of the symposium, "Data Visualization from Data to Discovery: Art Center + Caltech + JPL", May 23, 2013 | Beckman Auditorium | Caltech, Pasadena, CA, USA | http://www.hi.jpl.nasa.gov/datavis Taxonomic Show-And-Tell: Objects and Data Collections in Early Scientific Discip
From playlist Data Visualization from Data to Discovery - May 23, 2013
!!Con 2018: Opening Keynote by Mimi Onuoha
Mimi Onuoha is a Brooklyn-based artist and researcher investigating the social results of data collection and computational categorization. Her work uses code, writing, performance, and objects to explore missing data and the ways in which people are abstracted, represented, and classified
From playlist !!Con 2018
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 13
For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai To follow along with the course, visit: http://cs330.stanford.edu/fall2021/index.html To view all online courses and programs offered by Stanford, visit: http:/
From playlist Stanford CS330: Deep Multi-Task & Meta Learning I Autumn 2021I Professor Chelsea Finn
SICSS 2018 - Distributed Data Collection (Day 5. June 22, 2018)
Matthew Salganik talks about distributed data collection at the 2018 Summer Institute in Computational Social Science at Duke University. Slide and materials here: https://compsocialscience.github.io/summer-institute/2018/teaching-learning-materials
From playlist SICSS 2018 - Mass Collaboration (6/22)
Collections In C# Explained | Collections In C Sharp For Beginners | C# Tutorial | Simplilearn
"This video on Collections in C# Explained Tutorial for Beginners will acquaint you with a clear understanding of Collections in C# Explained. In this C# tutorial on Collections In C Sharp For Beginners, you will get proper Introduction To Collections in C# Explained. We will begin our ses
From playlist C# Training 🔥[2022 Updated]
Schema Design & Data Modeling in MongoDB | MongoDB Certification Training | Edureka
( MongoDB Certification Training - https://www.edureka.co/mongodb ) This Edureka MongoDB video covers in-depth knowledge about how to design a schema in MongoDB & how to creates Data Models. The topics covered in this video are: Data Modeling in MongoDB Different Types of Data Models Chal
From playlist MongoDB Dev & Admin Tutorial Videos
IMT4888 Specialization in Game Tech
Online slides https://docs.google.com/presentation/d/1ETto66_SYD-xAItjVWDDTnTlmIplY4dGpnbDiiWO7i8/edit?usp=sharing
From playlist IMT4888 Specialization in Game Technology
Learn Data Science Tutorial - Full Course for Beginners
Learn Data Science is this full tutorial course for absolute beginners. Data science is considered the "sexiest job of the 21st century." You'll learn the important elements of data science. You'll be introduced to the principles, practices, and tools that make data science the powerful me
From playlist Data Science