The Complete Market Research Bootcamp For 2023

Don’t just learn, but MASTER core research methodologies, and learn how to leverage AI to supercharge how you work!

What you'll learn

Understand the different market research methodologies

Learn the benefits and trade-offs of the different methodologies

Understand when and how you should be applying different methodologies

Apply a framework to guide you through your market research project

Learn about qualitative methods such as interviews, focus groups and ethnography

Learn about quantitative methods such as surveys and social media monitoring

Acquire essential project management skills to effectively manage your research projects

Learn how to use generative AI tools to aid and augment your work

Requirements

No experience needed - but some knowledge of basic functions in Excel or Google Sheets will help

No paid software required - I teach you how to do everything with Excel / Google Sheets or free software

Description

Today, possessing fundamental skills in market research isn’t just a good to have; it’s essential! Don’t believe me? A recent global study by Tableau and Forrester found that 82% of managers and business leaders “expect basic data literacy from employees in every department." And yet, only 40% of employees report having the “data skills they're expected to have.”The truth is, in today's world, everyone needs strong foundations in data literacy. But if you want to get ahead, you need more than foundational skills and knowledge. You need expertise!With a Masters degree in information science, I have more than 10 years of experience building data science and research teams at large-scale advertising agencies and research firms, as well as working with global brands helping business leaders make better, evidence-based decisions. This course has been designed and built around my 10+ years of experience working with and teaching global brands, agencies, consultancies and even governments how to conduct market research effectively.If you're looking for a zero-to-hero course in market research that covers a wide range of methodologies, look no further. In this course, I'll cover the fundamentals of market research, and deep dive into each of the core methodologies such as interviews, ethnography and surveys. We'll even explore how you can use generative AI tools, such as ChatGPT, to augment how you work.Some of the key topics covered include:The different types of research methodologies, from primary and secondary to qualitative to quantitative.Writing an effective research brief.Conducting secondary research (aka desktop research), from statistical analysis to literature reviews.Deep dives on qualitative methods including interviews, focus groups, shop-alongs and ethnography.Deep dives on quantitative methods like online surveys, social media monitoring and A/B testing.Managing research projects effectively using project management fundamentals and software.Qualitative and quantitative data analysis.Using generative AI tools, like ChatGPT, to supercharge your workflows.You’ll also have opportunities to apply what you’ve learned through a multi-stage case study. And my course is packed with tons of downloadable resources, templates, guides and checklists that will make you a research superhero.So whether you’re an entrepreneur looking to acquire skills to test and validate ideas, or considering a career in the market research industry, or just looking to level up your data skills, this is the course for you!

Overview

Section 1: Introduction

Lecture 1 About the instructor

Lecture 2 About the course

Section 2: Market Research Unpacked

Lecture 3 Why market research?

Lecture 4 Types of market research

Lecture 5 Market research focus areas

Lecture 6 Market research methodology

Section 3: Market Research Framework

Lecture 7 Starting with purpose

Lecture 8 Market research framework

Lecture 9 The market research brief

Lecture 10 Unpacking your research objective

Lecture 11 Market research and project management

Section 4: Secondary Research

Lecture 12 Secondary research overview

Lecture 13 Essential data sources for secondary research

Lecture 14 How to use Google trends

Lecture 15 How to use Google keyword planner

Lecture 16 Searching for peer reviewed articles

Lecture 17 Using AI to summarize long form content

Lecture 18 Competitor analysis

Lecture 19 Case Study Part 1: Briefing

Lecture 20 Case Study Part 1: Results

Lecture 21 Using AI to create a slides presentation

Section 5: Primary Research Overview

Lecture 22 Types of primary

Lecture 23 Outsourcing vs DIY

Lecture 24 Incentives for primary research participants

Section 6: Primary Research - Qualitative

Lecture 25 Qualitative methods overview

Lecture 26 Downloadable Resources for Qualitative Methods

Lecture 27 In-depth Interviews (IDI)

Lecture 28 Focus groups

Lecture 29 Shopalong

Lecture 30 Ethnography

Lecture 31 Analyzing qualitative data

Lecture 32 Case Study Part 2: Briefing

Lecture 33 Case Study Part 2: Results and demo of qual data coding

Lecture 34 Using AI to analyze qualitative data

Section 7: Primary Research - Quantitative

Lecture 35 Quantitative methods overview

Lecture 36 Downloadable Resources for Quantitative Methods

Lecture 37 Online surveys

Lecture 38 Programming a survey

Lecture 39 Analyzing survey data

Lecture 40 Survey data cleaning

Lecture 41 Using AI with online surveys

Lecture 42 Case Study Part 3: Briefing

Lecture 43 Case Study Part 3: Results

Lecture 44 Social media monitoring

Lecture 45 Demo of social media monitoring tool

Lecture 46 A/ B Testing

Lecture 47 Calculating statistical significance for an A/B test

Lecture 48 Case Study Part 4: Briefing

Lecture 49 Case Study Part 4: Results

Lecture 50 Other quantitative methods

Section 8: Course Wrap-up

Lecture 51 Course recap and congrats!

Marketers and Communications / PR specialists,Product managers,Analysts,Entrepreneurs,Anyone interested in a career in research or data analytics,Anyone keen to improve their data literacy