An Introduction To Online Quantitative Market Research

Last updated 8/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 8.01 GB | Duration: 10h 1m

Learn how to effectively conceptualise, design, execute and apply quantitative online research like a PRO!

What you'll learn
Get an overview of the market research industry
Learn how to design better surveys that don't bias or steer respondents
Learn how to program surveys using industry standard tools like Qualtrics
Learn how to clean and process your data
Learn how to effectively visualize and analyze your data
Learn how to make better, and faster business decisions through online market research

Requirements
Some exposure to using Excel
Some experience designing a survey questionnaire is good to have, but not required

Description
Let's face it, businesses need to move fast today to maintain a competitive edge, and the importance of making data-driven decisions is now a requirement for any business to survive. Possession of basic knowledge and skills in market research is quickly becoming the norm for everyone across the business, not just those who have "research" in their title. Whether you work in marketing, finances, HR, or even if you're a student preparing to enter the workforce, understanding how to design and execute market research is essential.I designed this course based on more than 10 years of knowledge and experience working directly in the research industry. I've worked in both the buy and sell-side of research, and so I understand the challenges people face when trying to get answers to their key business questions through market research.This course focuses on one specific type of research, which is online market research where you collect data through mobile or web-based surveys. Online research can get you scaled data fast, but small mistakes in your research design can have huge implications for data quality.Over the courses of 30+ lectures and 6 hours of on-demand video training, we'll cover everything you need to know in order to become an online market research PRO, including:What are the different types of market research, and how is quant online research differentHow to unpack your research objectiveQuestionnaire designSurvey programmingConducting fieldworkData cleaning and processingData analysis and interpretation

Overview
Section 1: Introduction & Overview

Lecture 1 What this course will cover

Lecture 2 About Me

Section 2: Overview of the Market Research Industry

Lecture 3 Market Research Industry Overview

Lecture 4 How is Online Survey Based Research Different?

Section 3: Survey Design

Lecture 5 Unpacking Your Research Objective

Lecture 6 Defining Your Audience

Lecture 7 Designing a Questionnaire

Lecture 8 Question Types

Section 4: Building a Survey

Lecture 9 Common Survey Programming Mechanics

Lecture 10 Survey Building Tools

Lecture 11 Demo: Scripting a Survey in Survey Monkey

Lecture 12 Demo: Scripting a Survey in Google Forms

Lecture 13 Demo: Scripting a Survey in Qualtrics

Section 5: Data Collection

Lecture 14 Sourcing Your Audience & Achieving Representative Data

Lecture 15 Understanding Incidence Rate (IR)

Lecture 16 Sample Size and Margin of Error

Lecture 17 Using a Margin of Error Calculator

Lecture 18 Margin of Error, Visual Explainer

Lecture 19 Launching Your Survey

Section 6: Data Cleaning & Processing

Lecture 20 Working With Survey Data in Excel

Lecture 21 Cleaning Your Dataset

Lecture 22 Data Cleaning with Open Ended Questions in Excel

Lecture 23 Cleaning Out Conflicts in Excel

Lecture 24 Detecting Under & Over Selection

Lecture 25 Weighting Data in Excel

Lecture 26 Weighting Data in Excel with Interlocking Variables

Section 7: Data Analysis

Lecture 27 Basic Data Analysis with Pivot Tables

Lecture 28 How to Pivot Multi Select Question Data

Lecture 29 Tips for Making Multi-Select Question Data Easier to Analyze in Excel

Lecture 30 Analyzing Data with Crosstabs

Lecture 31 Visualizing Your Survey Results

Lecture 32 Tips for Quick Visual Analysis in Excel

Lecture 33 Recoding Data and Top Box Analysis

Lecture 34 Data analysis basics

Lecture 35 Analyzing open-end (OE) data

Lecture 36 Deep Dive into Deductive Coding

Lecture 37 Deep Dive into Inductive Coding

Section 8: Practical Test - Data Processing & Analysis

Lecture 38 Preparing for the Practical Test

Lecture 39 Practical Test Answers: Questions 1 to 5

Lecture 40 Practical Test Answers: Questions 6 to 10

Lecture 41 Practical Test Answers: Questions 11 to 15

Section 9: Online Market Research Use-Cases

Lecture 42 Common Research Use-Cases

Lecture 43 Brand Position Study

Lecture 44 Campaign Uplift Study

Lecture 45 Concept Test Study

Marketers,Product Owners,Business Consultants,Business Strategists,Aspiring Researchers or Data Scientists,Students,Entrepreneurs,Anyone interested in how to design and execute better surveys

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