Marketing Data Analysis and Visualization Fundamentals

Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

Marketing Data Analysis and Visualization Fundamentals

Coursera · Intermediate ·📊 Data Analytics & Business Intelligence ·1mo ago
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 Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

Modern businesses Data Analytics vs Data Science: Which Strategy Actually Drives Business Growth in…
Learn the difference between Data Analytics and Data Science to drive business growth
Medium · Data Science
Python for Data Science — Handling Missing Values in Pandas
Learn to handle missing values in Pandas for effective data science, a crucial skill for any data scientist
Medium · Programming
Roblox Data Engineering Interview Questions: Full DE Prep Guide
Prepare for Roblox data engineering interviews with a focus on text-heavy product telemetry and search-related questions
Dev.to · Gowtham Potureddi
Tesla Data Engineering Interview Questions: Full DE Prep Guide
Prepare for Tesla data engineering interviews with this comprehensive guide, covering key concepts and practice questions to help you succeed
Dev.to · Gowtham Potureddi
Up next
How Suntory Turns Data into Faster Decisions with Databricks
Databricks
Watch →