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Learn. Practise. Apply.

Marketing Analytics
Course at LearnAI

Explore marketing analytics through a 14-module curriculum and 5 project topics. Learn to analyse audiences, acquisition channels, campaigns, conversion funnels and retention. Use Power BI, SQL, Python, statistics and ETL to explore marketing KPIs, ROI, ROAS, customer lifetime value and experimentation.

Online India & worldwideClassroom Learn at a branchHybrid Online + classroom
Branches: Hyderabad · Guntur · Kurnool
Online: USA, Canada, UK, Australia, New Zealand and Germany

Ask about your preferred mode, branch and upcoming batch.

Illustration of data analysis and dashboards

Upcoming Marketing Analytics batches

Contact LearnAI for the next batch. Ask on WhatsApp.

View all upcoming batches

14 modulesFoundations to applied learning
5 project topicsDomain practice and a capstone
3 training modesOnline · Classroom · Hybrid
Talk to LearnAIFees, duration and batch details
Understand the programme

Learn Marketing Analytics through practical study.

Learn to analyse audiences, acquisition channels, campaigns, conversion funnels and retention. Use Power BI, SQL, Python, statistics and ETL to explore marketing KPIs, ROI, ROAS, customer lifetime value and experimentation.

Your willingness to learn comes first

Who can join?

Build new skills or upgrade your technology knowledge. LearnAI welcomes students pursuing a degree, graduates, working professionals and learners from relevant domains.

Basic computer knowledge

Basic computer knowledge is recommended to help you participate in practical learning.

Students and professionals

Join while pursuing a degree, after graduation, or to develop skills for your relevant domain.

No prior technology knowledge required

You can begin without previous knowledge of the course technology. Bring your interest and willingness to learn.

No age limit

Learners of all ages are welcome. Learners under 18 should enrol with a parent or guardian’s consent.

What the curriculum develops

Skills you will practise.

Create marketing dashboards

Visualize campaign, channel and customer KPIs.

Connect marketing data

Query customer, sales and campaign datasets using SQL.

Measure campaign performance

Study conversion rate, CPA, ROI and ROAS.

Understand customer behaviour

Explore segmentation, cohorts, retention and lifetime value.

Explore experiments and attribution

Study A/B tests, forecasting and attribution concepts.

Communicate marketing insights

Present audience, funnel and performance findings.

The complete learning path

Marketing Analytics course curriculum.

Explore all 14 modules. Open a module to view its topics, and discuss the delivery plan for your batch.

01 / Analytics tools and foundations

MODULE 01Power BI & Data Visualization
  • Business Intelligence Fundamentals
  • Power BI Desktop
  • Data Connections
  • Power Query
  • Data Transformation
  • Data Modeling
  • Table Relationships
  • DAX Fundamentals
  • Calculated Columns & Measures
  • Interactive Dashboards
  • Drill-Through Reports
  • Publishing & Sharing
MODULE 02SQL for Data Analytics
  • Database Fundamentals
  • Relational Databases
  • SQL Queries
  • Filtering & Sorting
  • Aggregate Functions
  • Group By & Having
  • Joins
  • Subqueries
  • Common Table Expressions
  • Window Functions
  • Views
  • Data Extraction
  • SQL Reporting
MODULE 03Python for Data Analytics
  • Python Fundamentals
  • Variables & Data Types
  • Conditions & Loops
  • Functions
  • Data Structures
  • File Handling
  • NumPy
  • Pandas
  • Matplotlib
  • Seaborn
  • DataFrames
  • Data Manipulation
  • Data Visualization
MODULE 04Statistics for Data Analytics
  • Descriptive Statistics
  • Mean, Median & Mode
  • Variance & Standard Deviation
  • Probability Fundamentals
  • Probability Distributions
  • Sampling Techniques
  • Correlation Analysis
  • Hypothesis Testing
  • Confidence Intervals
  • Regression Fundamentals
  • Statistical Interpretation
MODULE 05Data Processing & ETL
  • Data Collection
  • Data Investigation
  • Data Profiling
  • Data Quality Assessment
  • Missing Value Treatment
  • Duplicate Handling
  • Outlier Detection
  • Data Cleaning
  • Data Wrangling
  • Data Transformation
  • Data Integration
  • Feature Engineering
  • ETL Pipelines
  • Data Validation

02 / Domain foundations

MODULE 06Marketing Analytics Fundamentals
  • Marketing Analytics Overview
  • Marketing Funnel & Customer Journey
  • Marketing Goals and KPIs
  • Digital & Offline Channels
  • Brand and Product Metrics
  • Segmentation, Targeting & Positioning
  • Customer Acquisition & Retention
  • Conversion Rate Basics
  • Marketing Research Concepts
  • UTM Tracking Fundamentals
  • Ethics, Consent & Privacy
MODULE 07Marketing Data Management
  • Customer & CRM Data
  • Campaign and Ad Data
  • Website & App Data
  • Sales and Transaction Data
  • Leads and Conversion Events
  • Traffic Source / Medium
  • GA4 Event and Session Concepts
  • UTM Parameters & Tagging
  • Channel and Campaign Joins
  • Marketing Data Integration
  • Data Quality & Governance
  • Customer Data Privacy
MODULE 08Customer & Channel Analytics
  • Customer Demographics
  • Customer Journey Analysis
  • Audience Segmentation
  • New vs Returning Customers
  • Traffic and Engagement
  • Channel Performance Overview
  • Lead & Conversion Analysis
  • Customer Cohort Analysis
  • Repeat Purchase Behavior
  • Customer Satisfaction Metrics
  • Marketing KPI Dashboards

03 / Advanced analytics

MODULE 09Acquisition & Channel Analytics
  • Website & App Traffic Analysis
  • Source / Medium Performance
  • Organic and Paid Acquisition
  • Search & Social Analytics
  • Landing Page Performance
  • Lead Generation Analysis
  • Cost per Lead (CPL)
  • Customer Acquisition Cost
  • Acquisition Dashboard
MODULE 10Campaign Performance & ROI
  • Campaign Performance Metrics
  • Reach, Impressions & Clicks
  • CTR and Conversion Rate
  • CPC, CPM, CPA
  • Marketing Spend Analysis
  • Return on Ad Spend (ROAS)
  • Marketing ROI Concepts
  • Budget Allocation Analysis
  • Campaign KPI Dashboard
MODULE 11Segmentation & Retention
  • Audience Segmentation
  • RFM Analysis
  • Customer Cohort Analysis
  • Repeat Purchase Rate
  • Customer Churn & Retention
  • Customer Lifetime Value (LTV)
  • Loyalty and Engagement
  • Retention Drivers
  • Retention Dashboard
MODULE 12Sales Funnel & E-Commerce Analytics
  • Marketing & Sales Funnel
  • Lead to Customer Conversion
  • Funnel Drop-off Analysis
  • E-Commerce Order Metrics
  • Average Order Value (AOV)
  • Cart Abandonment
  • Product / Category Performance
  • Revenue by Channel
  • Funnel Dashboard
MODULE 13Experimentation & Forecasting
  • A/B Testing & Experiment Design
  • Statistical Significance Basics
  • Marketing Forecasting
  • Regression for Demand Trends
  • Attribution Model Concepts
  • First / Last Touch Models
  • Multi-Touch Attribution Basics
  • Marketing Mix Concepts
  • Forecasting & ROI Dashboard

04 / Project work

MODULE 14Real-World Marketing Analytics Projects
  • Customer 360
  • Channel Dashboard
  • Campaign ROI
  • Retention Analytics
  • Capstone Project
Your technical toolkit

Tools and technologies in the curriculum.

Power BISQLPythonPandasDAXExcelGA4Looker StudioPower QueryNumPyMatplotlibSeaborn
Apply the learning

5 Marketing Analytics project topics.

Ask about the learning datasets, project selection, guidance and delivery for your batch.

Customer 360

Explore audience segments, cohorts and customer insights.

Channel Dashboard

Compare traffic sources, leads and conversion rates.

Campaign ROI

Analyse spend, CTR, CPA, ROAS and campaign performance.

Retention Analytics

Explore RFM, repeat buyers, churn and lifetime value.

Capstone Project

Combine SQL, Python, ETL and Power BI in a marketing dashboard.

Choose how you learn

Marketing Analytics training near you and online.

Online training

Join from India, the USA, Canada, UK, Australia, New Zealand and Germany. Confirm your batch and time-zone schedule.

Classroom training

LearnAI branches: Dilsukhnagar, Hyderabad; Gardens, Guntur; Main Road, Kurnool. Confirm this course, batch and exact address before visiting.

Hybrid training

Discuss combined online and classroom participation at your preferred branch. Confirm the delivery arrangements for your batch.

Fees, duration, prerequisites and upcoming batches are available on enquiry.

Learn with professional guidance

Experienced trainers. Practical knowledge.

Working professionalsIndustry knowledge connected to practical learning
Relevant expertiseSubject knowledge and practical experience
Experienced trainersGuidance for concepts, tasks and project work

LearnAI’s core trainer team is supported by additional and part-time trainers. Trainer assignments and relevant experience vary by course, branch, training mode and batch availability. Experience figures refer to professional experience, not years of teaching.

For your batch’s trainer details, contact LearnAI.
Plan your next step

Career directions and learning support.

Roles to explore

Career directions listed in the brochure. Entry requirements depend on the role, employer and your background.

Marketing Data AnalystDigital Marketing AnalystCampaign AnalystCustomer Insights AnalystCRM AnalystGrowth AnalystE-Commerce AnalystMarketing BI Analyst

Discuss career assistance

Ask about resume preparation, ATS compatibility, job-description matching, cover letters, interview practice, job discovery and application support. Confirm current availability and what is included with your enrolment.

Enrolled students receive access details for their applicable LearnAI learning and career assistance applications.

Ask About Career Assistance ↗
Before you enrol

Marketing Analytics course questions.

Review the curriculum and ask for current delivery and enrolment details.

What does the LearnAI Marketing Analytics Course cover?

The curriculum has 14 modules. Learn to analyse audiences, acquisition channels, campaigns, conversion funnels and retention. Use Power BI, SQL, Python, statistics and ETL to explore marketing KPIs, ROI, ROAS, customer lifetime value and experimentation.

Which tools and technologies are included?

The curriculum lists Power BI, SQL, Python, Pandas, DAX, Excel, GA4, Looker Studio, Power Query, NumPy, Matplotlib, Seaborn. Ask LearnAI about software setup and any tool accounts required for your batch.

Which projects are listed?

Project topics include Customer 360, Channel Dashboard, Campaign ROI, Retention Analytics, Capstone Project. Confirm datasets, guidance and project selection with LearnAI.

Does the curriculum cover marketing ROI and attribution?

Yes. It covers campaign performance, ROI and ROAS, funnel analysis, customer retention, A/B testing, forecasting and attribution model concepts.

Can I join online from outside India?

Yes. LearnAI offers online classes for learners in India and abroad, including the USA, Canada, UK, Australia, New Zealand and Germany. Ask about Marketing Analytics batch availability and your time-zone schedule.

Where can I attend classroom or hybrid training?

LearnAI branches are in Dilsukhnagar, Hyderabad; Gardens, Guntur; and Main Road, Kurnool. Confirm Marketing Analytics availability, delivery mode and the exact address before visiting.

What are the fees, duration and prerequisites?

Contact LearnAI on WhatsApp at +91 93900 23585 for current fees, duration, prerequisites and batch details. Share your background and preferred training mode.

What career assistance can I ask about?

Discuss resume support, job-description matching, interview practice, job discovery and application assistance. Confirm current availability and enrolment terms with LearnAI.

Discuss your learning goals

Ready to explore Marketing Analytics?

Share your background, preferred training mode, branch or country, and time zone.

Mon–Fri · 9 AM–7 PM IST · +91 93900 23585 · info@learnai.co.in

Chat with LearnAI ↗

What your course includes

Course charges cover

  • Live classes with a trainer
  • Doubt sessions
  • Assignments
  • Exams
  • Recordings
  • Portal access
  • Project assignment
  • Project explanation

Complimentary services

  • Resume writing
  • Mock interviews
  • Interview preparation
  • 100% job assistance

Job assistance does not guarantee a job offer.

WhatsApp ↗