Video Training

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We here collate the official self-service training videos series for Q. For information on other training opportunities and help resources please see our Learning More About Q page.

How to use this page

The content for Q self-service training course is split into 3 sequences representing 3 case studies:

  • Cola – critical content that is the bare minimum knowledge to operate Q.
  • Supermarket – a recommended minimum for a person to get a handle on Q.
  • Burger – recommended so users get a more comprehensive foundation in using Q.

    Our recommendation is that all users work through all 3 cases studies in order.

    The following is a guide to the control bar for all embedded videos on this page:

    Volume control.
    Settings – we recommend at least 720p, ideally 1080p streaming.
    Full-screen - click this to enlarge your video to the size of your screen. Use "Esc" to escape the full-screen mode.

    Case Study 1 - Cola

    Datafiles used in case study:

    Title Video Content Length Links & further resources
    Starting a project   Explains the concept of the Q project, it's relationship to the data, and how you can save your analysis as .Q project or .QPack. It also shows how to import data from a file. 1:27
  • Project File
  • File Formats Supported by Q
  • QPack
    • Making simple tables   Shows how to create a table, change the statistics shown, manipulate the rows and columns (merging, netting and renaming) as well as other context-menu features. 5:37
  • Table Context Menu
  • Report
    • Making and applying simple filters   Shows to create (and apply) simple filters from tables and other automatic ways. 6:01
  • Filters
    • Making Top 2 Box questions   Shows how to make a 'Top 2 Box' (and similar questions) in Q. In doing so, demonstrates the crucial process in Q of 'Restructuring' data. 6:02
  • Top 2 Box
    • Charting and Visualizing within Q   Shows how to turn tables into charts and visualizations within Q. Explains the difference between 'Charts' and 'Visualizations'. 8:02
  • Charts
  • Visualizations
  • Visualization Options
    • Exporting directly to PowerPoint   Shows to directly export data from Q to PowerPoint to make Excel Charts (within PowerPoint). Included is how to use Chart Template Files and how to automatically update your PowerPoint document 5:16
  • Exporting to PowerPoint
    • Updating a project   Explains how to update a project when you receive new or revised data. 3:39
  • Updating Projects with New or Revised Data

    • Case Study 2 - Supermarket

    Datafile used in case study:

    Title Video Content Length Links & further resources
    Checking value attributes   Walks you through the essential checks one should do with a new project, including the setting of values including missing values. 9:23
  • Value Attributes
  • Basic Workflow For Checking and Cleaning a Project
    • Calculating NPS scores   Shows how to set up NPS recoding in Q, both manually and automatically. 2:42
  • How to Compute the Net Promoter Score (NPS)
    • Splitting variables from a question   Shows how to separate variables from questions, and in doing so form new questions 4:23
  • Variables
  • Questions
    • Creating lots of tables   Shows how make multiple crosstabs all at once, and how to manipulate multiple tables in the Report at once. 5:02
  • Tables - Crosstabs
  • Report
    • Creating simple banners   Shows how create and modify simple banners using the Drag-and-drop method. 7:38
  • Banner
    • Creating custom filters   Shows how to use the Binary - Complicated Filter menu option. 7:24
  • Filters
    • Understanding Q's statitical testing   Explains the default significance indicators on Q's tables, how you can change them, and the use of the Alpha button. 7:19
  • Ways of Showing Statistical Significance
  • Overview of Statistical Testing in Q
    • Shortcuts to the story   Shows two ways Q can help you find the story in your data more easily: deleting tables not significant (at a certain level) and Smart Tables. 3:52
  • Delete Tables and Plots - Delete If Not Significant at a Specified Level
  • Smart Tables
    • Advanced analysis in Q   Gives a general overview of how advanced analysis is conducted in Q (using R). For detail on specific analysis, see our blog, webinar and eBook archives under the Resources tab of Q's main homepage 4:50
  • Multivariate Statistics

    • Case Study 3 - Burger

    Datafilse used in case study:

    Title Video Content Length Links & further resources
    Create tables for data checking   Creating a set of tables to priortise your data checking and cleaning beforeyou begin the analysis of your project 13:18
  • Basic Workflow For Checking and Cleaning a Project
    • Creating and applying weights   Shows how to create and apply weights in Q, including recomputing for each time period and the use of rim weighting 7:48
  • Weighting
    • Writing custom variables (JavaScript)   An introduction to how write your own variables using basic JavaScript 8:34
  • JavaScript Variables
    • Using Date questions   Exploring the benenfits of Date questions within Q 3:51
  • Blog post on Date questions
    • Exporting to Excel   A simple explanation of the Excel export feature 3:15
  • Export_to_Excel_(fast)
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