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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!
Who this course is for:
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

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

  • You will need a copy of Adobe XD 2019 or above. A free trial can be downloaded from Adobe.
  • No previous design experience is needed.
  • No previous Adobe XD skills are needed.

Course Content

27 sections • 95 lectures
Expand All Sections
1-Introduction
2
1.1-About the instructor
1.2-About the course
2-Market Research Unpacked
5
2.1-Why market research?
2.2-Types of market research
2.3-Market research focus areas
2.4-Market research methodology
2.5-Section Quiz
3-Market Research Framework
6
3.1-Starting with purpose
3.2-Market research framework
3.3-Unpacking your research objective
3.4-The market research brief
3.5-Market research and project management
3.6-Section Quiz
4-Secondary Research
13
4.1-Secondary research overview
4.2-Essential data sources for secondary research
4.3-How to use Google trends
4.4-How to use Google keyword planner
4.5-Searching for peer reviewed articles
4.6-AI powered secondary research with Perplexity
4.7-Using AI to summarize long form content
4.8-Using Perplexity AI to summarize content
4.9-Competitor analysis
4.10-Case Study Part 1: Briefing
4.11-Case Study Part 1: Results
4.12-Using AI to create a slides presentation
4.13-Section Quiz
5-Primary Research Overview
4
5.1-Types of primary
5.2-Outsourcing vs DIY
5.3-Incentives for primary research participants
5.4-Section Quiz
6-Primary Research - Qualitative
11
6.1-Qualitative methods overview
6.2-Downloadable Resources for Qualitative Methods
6.3-In-depth Interviews (IDI)
6.4-Focus groups
6.5-Shopalong
6.6-Ethnography
6.7-Analyzing qualitative data
6.8-Case Study Part 2: Briefing
6.9-Case Study Part 2: Results and demo of qual data coding
6.10-Using AI to analyze qualitative data
6.11-Section Quiz
7-Primary Research - Quantitative
17
7.1-Quantitative methods overview
7.2-Downloadable Resources for Quantitative Methods
7.3-Online surveys
7.4-Programming a survey
7.5-Analyzing survey data
7.6-Survey data cleaning
7.7-Using AI with online surveys
7.8-Case Study Part 3: Briefing
7.9-Case Study Part 3: Results
7.10-Social media monitoring
7.11-Demo of social media monitoring tool
7.12-A/ B Testing
7.13-Calculating statistical significance for an A/B test
7.14-Case Study Part 4: Briefing
7.15-Case Study Part 4: Results
7.16-Other quantitative methods
7.17-Section Quiz
8-Course Wrap-up
1
8.1-Course recap and congrats!