- published: 19 May 2013
- views: 426532
The content applies to qualitative data analysis in general. Do not forget to share this Youtube link with your friends. The steps are also described in writing below (Click Show more): STEP 1, reading the transcripts 1.1. Browse through all transcripts, as a whole. 1.2. Make notes about your impressions. 1.3. Read the transcripts again, one by one. 1.4. Read very carefully, line by line. STEP 2, labeling relevant pieces 2.1. Label relevant words, phrases, sentences, or sections. 2.2. Labels can be about actions, activities, concepts, differences, opinions, processes, or whatever you think is relevant. 2.3. You might decide that something is relevant to code because: *it is repeated in several places; *it surprises you; *the interviewee explicitly states that it is important; *you have ...
This is a tutorial on how to enter the results of your questionnaires in Excel 2010. It then shows you how to create frequency tables (using the countif function not the frequency function). The next stage is creating charts.
This screen cast demonstrates the use of Microsoft Excel to organize information for qualitative research.
Most customer support solves the customer problem, but there’s an incredible opportunity to solve the product problem too. Sabrina gave this talk at a meetup co-sponsored by Stripe; it’s all about our experience scaling the way we use Intercom both to support our customers and to collect and interpret customer conversations for our product teams.
Part 1 in a in-depth hands-on tutorial introducing the viewer to Data Science with R programming. The video provides end-to-end data science training, including data exploration, data wrangling, data analysis, data visualization, feature engineering, and machine learning. All source code from videos are available from GitHub. NOTE - The data for the competition has changed since this video series was started. You can find the applicable .CSVs in the GitHub repo. Blog: http://daveondata.com GitHub: https://github.com/EasyD/IntroToDataScience I do Data Science training as a Bootcamp: https://goo.gl/OhIHSc
Purchase the spreadsheet (formulas included!) that's used in this tutorial for $5: https://gum.co/satisfactionsurvey
In this video we go through a step-by-step tutorial on how to create and deploy a membership application to a website - users will register, login to update their profile, and search other members in the directory. Free Caspio Account: https://free.caspio.com No coding experience is needed to follow along and watch this video. We'll cover alternatives to dreamweaver, asp.net, SQL, and other coding platforms. The entire membership application in this video is built without writing a single line of code. Caspio empowers anyone to quickly create online databases, web applications, and web forms, all without writing a single line of code. Using intuitive app-building wizards, now you can simply "point-and-click" your way to creating powerful online database apps that deploy seamlessly to ...
What exactly is an API? Finally learn for yourself in this helpful video from MuleSoft, the API experts. https://www.mulesoft.com/platform/api The textbook definition goes something like this: “An application programming interface (API) is a set of routines, protocols, and tools for building software applications. An API expresses a software component in terms of its operations, inputs, outputs, and underlying types. An API defines functionalities that are independent of their respective implementations, which allows definitions and implementations to vary without compromising each other. A good API makes it easier to develop a program by providing all the building blocks. APIs often come in the form of a library that includes specifications for routines, data structures, object clas...
Completing data analysis on open-ended questions using Excel. For analyzing multiple responses to an open-ended question see Part 2: https://youtu.be/J_whxIVjNiY Note: Selecting "HD" in the video settings (click on the "gear" icon) makes it easier to view the data entries
This video shows how one can input Likert-scale data, such as from surveys and questionnaires, into SPSS as well as how to code this data for statistical analysis.
Watch our video to get the details of interviewing for our Engineering and Technical roles. Our engineers and recruiter have tips for being well-prepared for a Google interview. Learn more about how we hire at http://goo.gl/xSD7jo, then head over to http://goo.gl/6M5KCG to find your role. Also check out our companion video, How to Work at Google: Example Coding/Engineering Interview (https://goo.gl/8NpXgn).
Southern States were looking to understand what they could do as an organization to create more loyal customers. Alteryx enables them to build predictive models and explore their data with drag-and-drop tools instead of coding." "...most people don't need to be writing code here in the 21st century, especially people who are integrated into the business."
Financial data is both the most intimate and most powerful data we have about ourselves. Financial data should not kept in a silo but openly available to third parties, -- this is required for true innovation. However, security and data protection are crucial. Banks and third party providers have to work together to provide the infrastructure required to innovate. Join this webinar where we will discuss: -The power of APIs -- how to integrate banking data and financial sources quickly and easily -What developers need to know about banking APIs and how to foster new services in the FinTech space -PSD2 Post-Brexit -- what now? -Will traditional banks be replaced by FinTech banks one day? -Which is the biggest challenge: market education, technical issues, or regulation?
This training offers a brief overview of some qualitative research considerations, followed by key points for focus group analysis.
In this series, we'll create a Windows Forms desktop application that reads and writes data in a SQL Server database. We'll learn how to write select, insert, update, and delete SQL queries and how to implement those queries in a C# application. In part 1, we set up the database for the application. We add tables and columns and define primary and foreign keys.
Veloxsites star developer, Danielle, gets into it this afternoon in Toronto. We're constantly monitoring and improving our website functions to ensure we deliver the best possible product. White label responsive sites that help digital service providers acquire, retain, and grow SMB customers. We help you turn SMB customer data into profitable recurring revenue. http://veloxsites.com http://blog.veloxsites.com
A short demonstration of how to use conditional formatting to color code data in an Excel spreadsheet.
SPSS tutorial for beginners. Before doing an analysis based on Likert scales, we've got to get it into SPSS. I show you: 0:00 How to input Likert scale data into SPSS. 10:40 How to do reverse coding for Likert scales THANKS to all viewers who pointed out the mistake where I had "Strongly agree" instead of "Strongly disagree". For more videos and comments, visit me: http://www.statisticsmentor.com
Excerpted from the CIFL course on building dashboards with Google Sheets and Data Studio: https://learn.codingisforlosers.com/data-studio-the-lazy-way When connecting sheets to Data Studio as a data source, each tab is a unique data source, and needs to be connected separately. This is why I recommended pulling all of your data into one tab whenever possible, before connecting it to Data Studio. Data Studio is fairly finicky when it comes to recognizing data from Google Sheets, have to make sure your sheet's formatted correctly before connecting it as a data source. Dates must be in yyyy-mm-dd or yyyymmdd format, dates like 'Mon May 3 2002 12:23:00' won't be recognized. Be sure to keep headers in the first row of your Sheet, and data below that. You can select a custom range ins...
Basic introduction to correlation - how to interpret correlation coefficient, and how to chose the right type of correlation measure for your situation. 0:00 Introduction to bivariate correlation 2:20 Why does SPSS provide more than one measure for correlation? 3:26 Example 1: Pearson correlation 7:54 Example 2: Spearman (rhp), Kendall's tau-b 15:26 Example 3: correlation matrix I could make this video real quick and just show you Pearson's correlation coefficient, which is commonly taught in a introductory stats course. However, the Pearson's correlation IS NOT always applicable as it depends on whether your data satisfies certain conditions. So to do correlation analysis, it's better I bring together all the types of measures of correlation given in SPSS in one presentation. Watc...
How to unlock pattern lock or pin code on android without losing data. https://goo.gl/GokS1S how to unlock android phone pattern lock without factory reset. Unlock Pattern Without losing Data: If you have locked out of the Android phone with pattern or Pin code, then simply follow the tutorial. 2nd method link: Android SDK tool: https://developer.android.com/studio/index.html#Other Commands: put these commands:- Code to Reset Pattern: ADB SHELL RM /DATA/SYSTEM/GESTURE.KEY Code To Reset PIN Password: ADB SHELL RM /DATA/SYSTEM/PASSWORD.KEY 3rd Method link: Aroma File manager http://forum.xda-developers.com/showthread.php?t=1646108 Things Required Aroma File Manager Custom Recovery installed LIKE | SHARE | SUBSCRIBE FOR MORE VIDEOS LIKE THIS THANKS FOR WATCHING! --ENJOY-- Follow on Go...
Customize your data exactly how you need it by writing real code to enable sophisticated data uses such as real-time alerts, sessionization, anomaly detection, and more.
Source code along with readme available at https://github.com/cijujoseph/activiti-examples/tree/master/activiti-custom-data-model-sample