Marketing Analytics Foundation
A practical beginner course to master the basics of marketing analytics and make smarter, data-driven marketing decisions.
What will you learn in Marketing Analytics Foundation Course
- Understand core marketing analytics concepts and their impact on business decisions.
- Learn how to measure and optimize marketing campaigns using data.
- Interpret key metrics like ROI, customer lifetime value, and conversion rates.
- Use real-world datasets to analyze marketing effectiveness.
Program Overview
Module 1: Introduction to Marketing Analytics
⏱️ 1 week
Topics: What is marketing analytics, data-driven marketing, business applications
Hands-on: Review case studies on analytics-driven decisions.
Module 2: KPIs and Metrics in Marketing
⏱️ 1 week
Topics: Conversion rates, ROI, impressions, reach, engagement
Hands-on: Calculate and interpret marketing metrics using simple spreadsheets.
Module 3: Understanding Customer Behavior
⏱️ 1 week
Topics: Customer journey, acquisition, retention, lifetime value
Hands-on: Analyze customer data to identify profitable segments.
Module 4: Data-Driven Decision Making
⏱️ 1 week
Topics: A/B testing, dashboards, predictive modeling basics
Hands-on: Build a basic analytics dashboard to track performance.
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Job Outlook
Marketing analysts are in high demand across industries.
Roles include marketing data analyst, growth marketer, and performance marketing manager.
Salary range: $55K–$95K+ based on experience and tools used.
Analytical skills open paths in digital marketing, e-commerce, and consulting.
- Beginner-friendly with clear explanations
- Real-world case examples
- Focuses on business-relevant metrics
- Limited technical tools (e.g., no Python/R)
- Not project-heavy
Specification: Marketing Analytics Foundation
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FAQs
- No prior marketing or analytics experience is required; the course introduces foundational concepts.
- Basic familiarity with spreadsheets or numbers is helpful but not mandatory.
- Step-by-step lessons cover data-driven decision making and metrics.
- Hands-on exercises allow learners to analyze marketing datasets.
- Beginners can gradually develop confidence in applying analytics to marketing problems.
- The course covers key metrics, data collection, and reporting techniques.
- Learners practice analyzing data to derive actionable insights.
- Real-world case studies illustrate how analytics informs marketing strategies.
- Step-by-step exercises reinforce interpretation and visualization skills.
- Skills gained are directly applicable to marketing analysis roles.
- Learners learn to identify trends and patterns in marketing data.
- Practical exercises show how to prioritize campaigns and optimize performance.
- Insights from data are linked to business objectives and KPIs.
- Knowledge helps improve ROI and campaign effectiveness.
- Skills are relevant for roles in marketing analytics, digital marketing, and strategy.
- Analytics skills are highly valued in modern marketing roles.
- Knowledge improves employability for positions in marketing, analytics, and digital strategy.
- Hands-on projects demonstrate practical ability to potential employers.
- Understanding metrics and insights supports data-driven decision making.
- Completion shows readiness to contribute to marketing strategy and performance analysis.
- Estimated completion is around 2–4 weeks at a part-time pace.
- Weekly effort of 2–4 hours is generally sufficient for lectures and exercises.
- Regular practice in analyzing datasets reinforces learning.
- Revisiting exercises or exploring additional data may require extra time.
- Consistent engagement ensures learners develop both conceptual and practical marketing analytics skills.