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Marketing Analytics Foundation

A practical beginner course to master the basics of marketing analytics and make smarter, data-driven marketing decisions.

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

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.

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  • 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.

9.8Expert Score
Highly Recommendedx
This is a strong foundational course for those transitioning into marketing analytics or needing to upskill in data-driven marketing strategy.
Value
9.3
Price
9.5
Skills
9.7
Information
9.8
PROS
  • Beginner-friendly with clear explanations
  • Real-world case examples
  • Focuses on business-relevant metrics
CONS
  • Limited technical tools (e.g., no Python/R)
  • Not project-heavy

Specification: Marketing Analytics Foundation

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

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.
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