Marketing Data Analysis and Visualization Fundamentals

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Marketing Data Analysis and Visualization Fundamentals

Coursera · Intermediate ·📊 Data Analytics & Business Intelligence ·3mo ago

Key Takeaways

Analyzes and visualizes marketing data using industry-standard tools

Original Description

Data-driven marketing starts with knowing how to collect, interpret, and present the right numbers. In this course, you'll build the foundational skills that modern digital marketing professionals use every day — from reading web traffic reports to creating charts that tell a story at a glance. You'll get hands-on practice with industry-standard tools, including Excel pivot tables, Google Analytics 4, and data visualization platforms like Tableau and Power BI. Along the way, you'll learn how to define and track key performance indicators, distinguish between leading and lagging metrics, and structure performance data in tracking documents that keep teams aligned. Whether you're supporting a campaign, contributing to a weekly report, or preparing your first analytics dashboard, this course gives you the technical foundation and practical workflow skills to do the job with confidence. No prior analytics experience is required — just a willingness to work with real data and deliver results that matter.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
Verifying How IAM and Lake Formation Behave for the Glue REST Catalog and S3 Tables
Learn how IAM and Lake Formation interact with Glue REST Catalog and S3 tables, and how to verify their behavior for secure data management
Dev.to · Aki
📰
We Leaked PII in Staging: Here's the Automated Data Masking Pipeline That Saved Us
Learn how to build an automated data masking pipeline using Python to protect sensitive data in staging environments
Hackernoon
📰
Why Synthetic Healthcare Data Isn’t Enough for Commercial Analytics
Synthetic healthcare data has limitations for commercial analytics, and finding suitable synthetic commercial data is challenging
Medium · Data Science
📰
Why Synthetic Healthcare Data Isn’t Enough for Commercial Analytics
Synthetic healthcare data has limitations for commercial analytics, and finding suitable synthetic commercial data is challenging
Medium · Python
Up next
6-Phase SQL Roadmap 2026 | Data Analytics & Engineering | #shorts
SCALER
Watch →