Take a look inside the course

    1. Getting Ready to Rock!

    2. Exclusive Instructor-led Live Events (Zoom)

    1. Module 1 Lesson Plan

    2. Fundamentals M1A [Video Lesson]

    3. Fundamentals M1A [Slide Viewer]

    4. Fundamentals M1A [Slide File Download]

    5. Fundamentals M1B [Video Lesson]

    6. Fundamentals M1B [Slide Viewer]

    7. Fundamentals M1B [Slide File Download]

    8. Planning Makes for Great Research [Downloadable Job Aid]

    9. Five Factors That Impact Data Quality [Downloadable Job Aid]

    10. Sampling Like a Pro [Downloadable Job Aid]

    11. Cleaning Data Checklist [Downloadable Job Aid]

    1. Module 2 Lesson Plan

    2. Exploring Data M2A [Video Lesson]

    3. Exploring Data M2A [Slide Viewer]

    4. Exploring Data M2A [Slide File Download]

    5. Exploring Data M2B [Video Lesson]

    6. Exploring Data M2B [Slide Viewer]

    7. Exploring Data M2B [Slide File Download]

    8. Statistical Terminology [Downloadable Job Aid]

    9. Checkpoint A: Basic Concepts Review [Action Required]

    1. Module 3 Lesson Plan

    2. Data Interpretation M3A [Video Lesson]

    3. Data Interpretation M3A [Slide Viewer]

    4. Data Interpretation M3A [Slide File Download]

    5. Data Interpretation M3B [Video Lesson]

    6. Data Interpretation M3B [Slide Viewer]

    7. Data Interpretation M3B [Slide File Download]

    8. Checkpoint B: Crosstabs Practice [Action Required]

    1. Module 4 Lesson Plan

    2. Explaining Results M4A [Video Lesson]

    3. Explaining Results M4A [Slide Viewer]

    4. Explaining Results M4A [Slide File Download]

    5. Explaining Results M4B [Video Lesson]

    6. Explaining Results M4B [Slide Viewer]

    7. Explaining Results M4B [Slide File Download]

    8. Independent vs Dependent Variables [Downloadable Job Aid]

    9. Checkpoint C: Basic Concepts Review [Action Required]

    10. Checkpoint D: Key Findings [Action Required]

    1. Recommended Reading & Viewing

    2. Data Analysis Plan for a Message Testing Study

About this course

  • 44 lessons
  • 1.5 hours of video content

Course Overview

Where should you start with quantitative data analysis for market research projects? How can you get the most from frequencies and crosstabs? How can you work effectively with data analysts or statisticians who may be supporting your market research projects? What are some of the important predictive options you can consider? 

In this market research training course, Instructor Jim Newswanger will teach the basics of quantitative analysis in a fun, practical way. Includes examples, exercises, and plenty of time for student Q&A. This market research class is ideal for those new to quantitative data analysis. No previous background in statistics is required.  

Note: This class does not include generating data analysis; it focuses on planning for and interpreting data analysis. For conducting data analysis, we offer Intro to SPSS and SPSS 201. We also recommend using the many excellent tutorials offered by the statistics software companies.

Upon course completion, you will be able to:

  • Describe survey results by using basic statistics (mean, median, mode, and variability measures)
  • Understand how to optimize survey research success by planning ahead for the data analysis phase of a project
  • Read and interpret crosstabs (banner tables)
  • Recommend when to use, or not use, weighting
  • Choose among several data analysis options for getting the most out of survey data
  • Understand data reliability measures (and what a 95% confidence interval really means)

Are you able to confidently use basic statistics to summarize customer attitudes and behaviors collected via surveys? If not, this is the course you need.

As a student, you get lots of helpful videos, readings and reference material.

Watch the preview below.

Meet Your Instructor

Jim Newswanger

Quantitative Market Researcher

Jim Newswanger has over twenty years of experience with primary quantitative and qualitative research initiatives. He has end-to-end skills including questionnaire design, sampling, analysis, and presentation. He has been the Senior Market Intelligence Leader for Corporate Functions at IBM and led the primary market research skill set specialty. At IBM, he directed the "Jam" program, which involves time-limited online conference-like discussions--and the analysis of a large corpus of text to identify themes, sentiments, and influencers. (The Jam research model won an AMA/Nielsen EXPLOR Award and has been described in Harvard Business Review). Jim was a Senior Management Consultant in pharma at ZS Associates in Princeton, NJ, where he was also co-founder of an e-health startup called Cozint. Before ZS, Jim was a Vice President at SRBI New York, handling all aspects of blue-chip client projects across most industries. He has an earned Ph.D. in Applied Statistics (PREM Program) from Penn and an Executive MBA from Quantic. He is a proud member of AAPOR, the American Psychological Association, and the Digital Analytics Association. He is based in New York City.

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