Marketing Analytics for Business
Learn to analyze campaigns and measure marketing ROI—no coding
Marketing Analytics for Business is a no-code course on DataCamp taught by Sarah DeAtley and collaborators that introduces practical marketing analytics concepts and workflows. It covers campaign analysis, customer segmentation, attribution approaches, customer lifetime value, sentiment and predictive analytics, and how to turn data into actionable business insight.
Through hands-on exercises using real-world datasets, learners practice building segments, estimating market response, forecasting outcomes, and assessing ROI with an emphasis on applied, business-focused methods rather than coding. By course end, students should be able to analyze marketing performance, recommend data-driven actions, and communicate measurable impact to stakeholders.
At a Glance
Marketing Analytics for Business is a no-code course on DataCamp that explains the role of a marketing analyst and practical analytics techniques.
Taught by Sarah DeAtley with collaborators, it covers customer segmentation, campaign analysis, ROI measurement, and hands-on exercises using real-world data.
| Level | Intermediate |
| Rating | 4.8 out of 5 |
| Duration | 5+ hours |
| Languages | English |
| Certificate | Statement of Accomplishment |
| Access | Access while your subscription is active |
| Course includes |
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| Price | Included with subscription |
What This Course Teaches
Outcomes are framed as measurable competencies that let learners perform essential marketing-analytics tasks in a business setting. Students will be able to analyze campaigns, build customer segments, calculate customer lifetime value, and measure ROI using real-world datasets.
How the Course Is Structured
The course is organized as a short, focused syllabus split into four sequential modules that follow a business-to-analytics workflow from problems to ROI measurement. Overall the curriculum comprises 4 modules and requires about 5+ hours to complete in total.
Curriculum overview
01Marketing Levers and Questions▾
Introduces the role of a marketing analyst, key marketing levers, typical channels and tactics, and the business questions analysts answer.
- Marketing lever fundamentals
- Campaign attributes
- Channels and tactics
- Lever hierarchy
- Marketing roles
- Internal partners
- External partners
- Marketing business questions
- Marketing roles and KPIs
02Marketing Data Challenges▾
Covers common data issues in marketing analytics, including source fragmentation, audience granularity, privacy constraints, and measuring indirect effects.
- Marketing data sources
- Internal vs. advertiser data
- Channel granularity
- Audience targeting insights
- Privacy laws
- GDPR assessment
- Cookie types
- Indirect impact of marketing
- Direct vs. Indirect channels
- Blurred lines of channel impact
03Marketing Campaign Analysis▾
Focuses on methods for assessing campaign performance, including text and sentiment analysis, audience segmentation, and predictive approaches.
- Text analysis
- Branded and non-branded keywords
- Paid search analysis
- Sentiment analysis
- Social media comments
- NLP or manual sentiment analysis
- Audience segmentation
- Segmentation data options
- Cluster analysis attributes
- Integrated campaigns
- Campaign stages
- Integrated campaign planning
04Marketing ROI▾
Teaches how to define KPIs, construct forecasts and attribution approaches, and tie spend and revenue together to measure return on marketing.
- KPIs and metrics
- Marketing funnel
- KPI vs. supporting metric
- Marketing forecasting
- Forecast requirements
- Forecasting process
- Attribution modeling
- LTA vs. MTA
- Identify attribution model
- Revenue and cost modeling
- Spend and revenue considerations
- CAC and LTV calculations
- Wrap-up
Audience & Requirements
The course is intended for professionals who need practical, no-code marketing analytics skills to support business decisions and reporting. It suits current marketers, business analysts, and aspiring marketing analysts who want hands-on experience applying analytics to real-world marketing data.
- Marketing managers and analysts seeking to quantify campaign impact.
- Business analysts or product managers who must interpret marketing results.
- Aspiring marketing analysts preparing for analytics-focused roles.
- Team leads responsible for setting and evaluating marketing KPIs.
- Completion of Data Science for Business (stated prerequisite).
- No programming or coding required; the course is no-code.
- Comfort interpreting business metrics and KPIs.
- Willingness to engage with real-world tabular datasets and hands-on exercises.
Final Verdict
This course is a practical, no-code introduction that is worth taking for marketing professionals and business analysts who need applied analytics skills to measure campaigns and inform strategy. Given its positive platform rating and the availability of a certificate through the host platform, it offers clear, career-relevant return for learners who prefer hands-on, business-focused training.
It is especially good value for people who already use the platform subscription, but less appropriate for learners seeking deep technical or coding-based data science training — those learners should choose a program with dedicated programming and advanced modeling content. Overall, the course is a concise, job-oriented option for upskilling in marketing analytics.
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