Creative Career Tracks – CareerDispatch.com

Chapter 1.1 – Introduction to Market Research
- Lesson 1.1: Introduction to Market Research Analysis
- Lesson 1.2: Defining Your Target Market
- Lesson 1.3: Customer Personas in Action
- Lesson 1.1.4 – Role of a Market Research Analyst
- Lesson 1.1.5 – Qualitative vs. Quantitative Research
- Lesson 1.1.6: Research Ethics & Best Practices
Chapter 1.2 – Research Design & Planning
- Lesson 1.2.1 – Sampling Methods & Sample Size Calculations
- Lesson 1.2.2 – Research Methodologies Overview
- Lesson 1.2.3 – Writing a Research Brief
- Lesson 1.2.4 – Budgeting & Timeline Development
Chapter 2.1 – Desk Research Techniques
- Lesson 2.1.1 – Industry Reports & Public Data Repositories
- Lesson 2.1.2 – Competitor & Market Landscape Analysis
- Lesson 2.1.3 – Online Tools: Euromonitor, Statista, IBISWorld
- Lesson 2.1.4 – Case Study: Applying Desk Research to Somali Markets
Chapter 2.2 – Data Quality & Validation
- Lesson 2.2.1 – Assessing Source Credibility
- Lesson 2.2.2 – Data Cleaning Fundamentals
- Lesson 2.2.3 – Dealing with Data Gaps & Bias
- Lesson 2.2.4 – Secondary Research Project: Landscape Report
Chapter 3.1 – Survey Design & Implementation
- Lesson 3.1.1 – Questionnaire Structure & Question Types
- Lesson 3.1.2 – Online Survey Platforms (SurveyMonkey, Qualtrics)
- Lesson 3.1.3 – Pilot Testing & Revision
- Lesson 3.1.4 – Sampling Strategies
- Lesson 3.1.5 – Fielding Your First Survey
Chapter 3.2 – Interviews & Focus Groups
- Lesson 3.2.1 – Interview Guide Creation
- Lesson 3.2.2 – Moderation Skills & Ethical Considerations
- Lesson 3.2.3 – Transcription & Thematic Analysis
- Lesson 3.2.4 – Focus Group Simulation Project
Chapter 4.1 – Statistical Foundations
- Lesson 4.1.1 – Descriptive Statistics (Mean, Median, Mode)
- Lesson 4.1.2 – Inferential Statistics (T-Tests, ANOVA)
- Lesson 4.1.3 – Correlation & Regression Basics
- Lesson 4.1.4 – Statistical Significance & Confidence Intervals
Chapter 4.2 – Tools & Techniques
- Lesson 4.2.1 – Excel for Data Analysis & Pivot Tables
- Lesson 4.2.2 – Introduction to R & Python for Analysts
- Lesson 4.2.3 – SPSS & Advanced Statistical Software
- Lesson 4.2.4 – Quantitative Analysis Challenge
Chapter 5.1 – Visualization Principles
- Lesson 5.1.1 – Best Practices for Charts & Graphs
- Lesson 5.1.2 – Storytelling with Data
- Lesson 5.1.3 – Dashboard Design Fundamentals
- Lesson 5.1.4 – Accessibility & Clarity in Reports
Chapter 5.2 – Tools & Dashboards
- Lesson 5.2.1 – Tableau Essentials
- Lesson 5.2.2 – Power BI Workshop
- Lesson 5.2.3 – Looker Studio Dashboards
- Lesson 5.2.4 – Client-Ready Report Project
Chapter 5.3 – Ethics in Data Visualization
- Lesson 5.3.1 – Foundations of Ethical Data Visualization
- Lesson 5.3.2 – Inclusive & Accessible Visualizations
- Lesson 5.3.3 – Transparency & Accountability in Dashboards
Chapter 6.1 – Capstone Research Project
- Lesson 6.1.1 – Designing a Research Proposal
- Lesson 6.1.2 – Plan & Execute Mixed-Method Research
- Lesson 6.1.3 – Analyze Data & Extract Insights
- Lesson 6.1.4 – Present Findings to Stakeholders
Chapter 6.2 – Portfolio & Job Preparation
- Lesson 6.2.1 – Crafting Case Studies & Insight Reports
- Lesson 6.2.2 – 6.2.2 – Building a Job-Ready Resume & Optimized LinkedIn Profile
- Lesson 6.2.3 – Market Research Interview Prep & Tasks
- Lesson 6.2.4 – Final Career Roadmap & CareerDispatch.com Certification