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Quantitative Research

Approx. 17 hours to complete

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Course Summary

Learn how to conduct quantitative research and analyze data using statistical methods in this comprehensive course. Gain valuable skills and knowledge that can be applied in a variety of fields, from business to social sciences.

Key Learning Points

Understand the basics of quantitative research design and data analysis
Learn how to use statistical software to analyze data
Gain practical skills in conducting your own research projects

Job Positions & Salaries of people who have taken this course might have

- USA: $63,120
- India: ₹5,00,000
- Spain: €28,000
- USA: $63,120
- India: ₹5,00,000
- Spain: €28,000
- USA: $62,000
- India: ₹4,50,000
- Spain: €24,000
- USA: $63,120
- India: ₹5,00,000
- Spain: €28,000
- USA: $62,000
- India: ₹4,50,000
- Spain: €24,000
- USA: $63,000
- India: ₹5,00,000
- Spain: €28,000

Learning Outcomes

Ability to design and conduct quantitative research projects
Proficiency in statistical analysis using software
Understanding of data interpretation and presentation

Prerequisites or good to have knowledge before taking this course

Basic knowledge of statistics
Familiarity with Microsoft Excel

Course Difficulty Level

Intermediate

Course Format

Online self-paced course
Video lectures
Interactive assignments
Real-world case studies

Similar Courses

Qualitative Research Methods
Applied Data Science

Related Education Paths

Notable People in This Field

Nate Silver
Edward Tufte

Related Books

Description

In this course, you will obtain some insights about marketing to help determine whether there is an opportunity that actually exists in the marketplace and whether it is valuable and actionable for your organization or client.

Week 1: Assess methods available for creating quantitative surveys, along with their advantages and disadvantages. Identify the type of questions that should be asked and avoid unambiguous survey questions. Week 2: Design, test, and implement a survey by identifying the target audience and maximizing response rates. You will have an opportunity to use Qualtrics, a survey software tool, to launch your own survey. Week 3: Analyze statistical models that can be applied to your marketing data, so that you can make data-driven decisions about your marketing mix. Week 4: Predict most likely outcomes from the marketing decisions and match the type of analysis needed for your business problem. Take Quantitative Research as a standalone course or as part of the Market Research Specialization. You should have equivalent experience to completing the second course in this specialization, Qualitative Research, before taking this course. By completing the third class in the Specialization, you will gain the skills needed to succeed in the full program.

Knowledge

Predict common pitfalls in designing and implementing quantitative research and a plan to avoid them
Design an effective questionnaire by applying best practices for writing questions and response options
Launch your survey to the target audience using a quantitative survey platform and get back results
Analyze a given set of data, perform basic calculations, and describe it with descriptive statistics

Outline

Getting Started and Preparing to Design a Quantitative Survey for Market Research
Course Introduction
Introduction to Preparing to Design a Quantitative Survey for Market Research
Identifying Business Objectives
Assessing Suitability of Quantitative Research
Building On Qualitative Findings to Inform a Quantitative Survey
Introduction to Various Types of Quantitative Surveys
Online Surveys
Telephone Surveys
In-Person Surveys
Direct Mail Surveys
Steps to Design and Implement a Survey - Part 1
Steps to Design and Implement a Survey - Part 2
Recognizing and Avoiding Common Pitfalls
A Note From UC Davis
Back to Basics: Six Essential Skills for Telephone Interviewing
Qualtrics: 10 Tips for Building Effective Surveys
6 Common Survey Writing Mistakes in Market Research
Module 1 Quiz

Designing and Implementing a Quantitative Survey
Introduction to Designing and Implementing a Quantitative Survey
Delineating the Market Segment
Selecting the Survey Methods
Maximizing Response Rates
Maximizing Response Rates: Administering a Survey
Maximizing Response Rates: Level of Trust
Selecting Appropriate Sample Sources
Determining Appropriate Sample Size
Designing a Questionnaire
Designing Appropriate Response Options
Performing Quality Control
Pre-Testing Your Survey
Quirk's: What Everyone Needs to Know About Sampling
Sample Size Calculator
7 Tips for Good Survey Questions
Qualtrics Resources
Module 2 Quiz

Analyzing a Survey
Analyzing a Survey Introduction
Reviewing Your Data and Looking for Errors
The Importance of Scales
Descriptive Analysis: Nominal Data
Descriptive Analysis: Ordinal and Interval Data
Inferential Analysis: Confidence Interval
Testing Hypotheses, Part 1: Overview
Testing Hypotheses, Part 2: An Example Application
Association Analysis: Comparing Groups of People
Association Analysis: Chi-Square Test
Association Analysis: Correlation Analysis
Causal Analysis
Making Sense of Survey Data
Sampling and Samples
Datasets for Module 3 Lectures
Sampling Activity
Scales Practice Activity
Descriptive Analysis Activity
Statistical Analysis Practice Activity
Causal Analysis Practice Activity
Module 3 Quiz

Assess Approaches and Interpret Quantitative Study Results
Assess Approaches and Interpret Study Results Introduction
Regression and Errors
Multiple Variables
Using Multiple Variables
Multiple Regressions: Understanding What Drives Pricing
Binary Regression
Segmentation and Cluster Analysis
Factor Analysis
Conjoint Analysis
Course Summary
Using Multiple Variables Dataset
Regression Analysis
Quantitative Data Analysis Techniques for Data-Driven Marketing
Anscombe's Quartet
Multiple Regressions Practice Activity
Module 4 Quiz

Summary of User Reviews

Learn about quantitative research in this comprehensive course on Coursera. Users have given this course positive reviews, mentioning its practical approach and usefulness for research. However, some users have noted that the course could benefit from more interactive elements and clearer explanations.

Key Aspect Users Liked About This Course

Practical approach to quantitative research

Pros from User Reviews

Useful for research
Clear and concise content
Great instructor
Applicable to real-world scenarios
Good pacing

Cons from User Reviews

Lack of interactive elements
Not enough explanation of certain concepts
Some technical difficulties with course materials
Limited discussion forums
Some sections may be too basic for advanced researchers

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