Marketing Analytics: Data Predictions and Dashboard Essentials — PickAClass
⏱ 2h 36m 📚 26 lessons 🎧 Audio version

Marketing Analytics: Data Predictions and Dashboard Essentials

Translate raw marketing data into actionable forecasts and clear dashboards to make smarter, data-driven business decisions.

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About this course

Modern marketing relies heavily on data, yet turning raw numbers into strategic action remains a major challenge. This written course guides you through the process of analyzing customer behavior, predicting future trends, and structuring reports that drive business growth. You will transition from basic data tracking to conducting predictive marketing analysis and designing intuitive dashboards. You will learn to identify key performance indicators (KPIs) and build structured frameworks to communicate insights clearly. What you'll learn: 1. Understand foundational marketing analytics metrics, attribution models, and modern privacy-first tracking concepts. 2. Analyze customer acquisition, retention, and lifetime value using structured data-driven frameworks. 3. Apply basic predictive modeling techniques to forecast market trends and customer churn. 4. Design clear, functional dashboard layouts that highlight essential business KPIs for stakeholders. 5. Interpret analytical results to make proactive, strategic marketing recommendations. The course begins with core terminology and data collection fundamentals before moving into practical predictive techniques and dashboard design principles. Through written explanations and realistic case studies, you will practice translating marketing metrics into strategic business plans. Designed for beginner marketers, business owners, and aspiring data analysts, this course requires no prior background in statistics or advanced programming. Start your journey into data-driven marketing today.

What you'll get

  • 📜 Certificate of completion
    Add it to your LinkedIn profile
  • 💬 Personal AI tutor
    Stuck on a lesson? Ask your built-in tutor anything, any time.
  • 🎧 Audio version included
    Learn on the go — no screen needed
  • ♾️ Lifetime access
    Come back anytime, no expiry
  • 📱 Phone or computer
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  • 💸 14-day refund
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  • Short & focused
    2h 36m of practical content

Certificate of completion

Every course you complete on PickAClass issues a credential like this — original, with its own code, verifiable by URL, and detailed about what was actually demonstrated.

P
PickAClass
Skills profile · verifiable
Document
Certificate of Mastery
This certifies that
Name Surname
has successfully demonstrated mastery of
Marketing Analytics: Data Predictions and Dashboard Essentials
Skills demonstrated
Behavioral pattern analysis
Foundational
1.2 hrs
Decision-architecture frameworks
Proficient
1.4 hrs
A/B test design
Proficient
1.7 hrs
Behavioral copywriting
Advanced
1.9 hrs
P
PickAClass — Name Surname
Marketing Analytics: Data Predictions and Dashboard Essentials
Page 2 of 2
Performance detail
Coursework summary
Lessons completed 14 / 14
Practice questions 26 / 28
Assignments submitted 4 (avg 4.5 / 5)
Capstone project Reviewed — 4.6 / 5
Total practice 6.2 hrs
Performance benchmark
Cohort rank Top 12% of 1,625
Time to completion 11 days (median: 22)
Mastery score 91 / 100
Practice-question score 94%
Skill verification Verified Skill Path
Verify this credential
pickaclass.com/certificates/PCC-2026-X4F7-AP19
Issued under the academic standards of PickAClass. Skill levels reflect assessed performance against the course's competency rubric. This is an original credential of this platform.

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Frequently asked

What do I need to take this course? +

Just a phone or computer with internet. No installs, no special hardware.

How do I pay? +

By card via Stripe. We don’t store card details — Stripe handles them securely.

Can I get a refund? +

Yes — full refund within 14 days, no questions asked.

How long will I have access? +

Forever. Once you purchase, the course is yours to revisit anytime.

Will I get a certificate? +

Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.

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