- 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 ...
Empower your front line to make effective and informed decisions at point of contact during customer interactions. IBM predictive customer analytics solutions apply predictive analytics to your customer data to help you deliver enhanced capabilities to your front line. Find out more about what IBM predictive customer analytics solutions can do for your business by visiting https://www.ibm.com/analytics/us/en/business/predictive-customer-intelligence/. Subscribe to the IBM Analytics Channel: https://www.youtube.com/subscription_center?add_user=ibmbigdata
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.
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.
This screen cast demonstrates the use of Microsoft Excel to organize information for qualitative research.
How to enter and analyze questionnaire (survey) data in SPSS is illustrated in this video. Lots more Questionnaire/Survey & SPSS Videos here: https://www.udemy.com/survey-data/?couponCode=SurveyLikertVideosYT Check out our next text, 'SPSS Cheat Sheet,' here: http://goo.gl/b8sRHa. Prime and ‘Unlimited’ members, get our text for free. (Only 4.99 otherwise, but likely to increase soon.) Survey data Survey data entry Questionnaire data entry Channel Description: https://www.youtube.com/user/statisticsinstructor For step by step help with statistics, with a focus on SPSS. Both descriptive and inferential statistics covered. For descriptive statistics, topics covered include: mean, median, and mode in spss, standard deviation and variance in spss, bar charts in spss, histograms in spss, biv...
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...
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 ...
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).
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...
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
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."
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.
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
Purchase the spreadsheet (formulas included!) that's used in this tutorial for $5: https://gum.co/satisfactionsurvey
Perform complex text analysis with ease. Automatically find unique phrase patterns within text, identify phrase and word frequency, custom latent variable frequency and definition, unique and common words within text phrases, and more. This is data mining made easy. Video Topics: 1) How to insert text content data for analysis 2) Perform qualitative content analysis on sample survey 3) Review text content phrase themes and findings within data 4) Review frequency of words and phrase patterns found within data 5) Label word and phrase patterns found within data
This introduction to Data Science provides a demonstration of analyzing customer data to predict churn using the R programming language. MetaScale walks through the stops necessary to train and test multiple algorithms in order to provide the most accurate model for predicting when a customer will leave the company.
This screen cast will guide you through using AppGini to create a database web-application from scratch. In a few minutes, we'll create a simple product catalog, set it up and see it in action. 00:07 If you are looking for a way to make a user-friendly, fast and feature-rich web application in a very short time, that's when AppGini comes handy. This tutorial shows you how to create a web application in 5 minutes using AppGini. 00:21 First we'll start a new project. Let's give it a name: in our example we'll name it "product catalog". 00:31 Then we'll add two tables one for "categories" and another one for "items". 00:37 You can assign an icon for each table by clicking on the box at the left of the table name. 00:48 Next, we'll add fields to each table. Each table MUST contain a prima...
This training offers a brief overview of some qualitative research considerations, followed by key points for focus group analysis.
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
A short demonstration of how to use conditional formatting to color code data in an Excel spreadsheet.