Data Analytics for Digital Marketing
( 25 Modules )

Module #1
Introduction to Data Analytics
Overview of data analytics, importance in digital marketing, and course objectives

Module #2
Key Concepts in Data Analytics
Data types, data sources, metrics, KPIs, and data visualization basics

Module #3
Google Analytics Fundamentals
Setting up Google Analytics, understanding tracking codes, and basic reports

Module #4
Google Analytics Configuration
Setting up goals, events, and conversions in Google Analytics

Module #5
Data Collection and Storage
Understanding data collection methods, data warehouses, and ETL processes

Module #6
Data Preprocessing and Cleaning
Handling missing values, data normalization, and data transformation

Module #7
Data Visualization Best Practices
Effective data visualization techniques for communication and insights

Module #8
Descriptive Analytics
Summary statistics, frequency distributions, and data summarization techniques

Module #9
Inferential Analytics
Hypothesis testing, confidence intervals, and statistical significance

Module #10
Predictive Analytics
Introduction to machine learning, regression, and decision trees

Module #11
Digital Marketing Metrics
Understanding metrics for website traffic, engagement, and conversion

Module #12
SEO Analytics
Measuring SEO success, keyword analysis, and technical SEO

Module #13
Paid Advertising Analytics
Measuring and optimizing paid social media and search ads

Module #14
Email Marketing Analytics
Measuring email campaign success, open rates, and click-through rates

Module #15
Social Media Analytics
Measuring social media engagement, sentiment analysis, and influencer marketing

Module #16
A/B Testing and Experimentation
Designing and executing A/B tests for website and app optimization

Module #17
Attribution Modeling
Understanding attribution models for multi-touch campaigns

Module #18
Data Storytelling
Communicating insights and recommendations to stakeholders

Module #19
Big Data Analytics
Working with large datasets, Hadoop, and Spark

Module #20
Machine Learning in Marketing
Applying machine learning to customer segmentation, churn prediction, and recommender systems

Module #21
Marketing Automation
Using data to automate marketing workflows and personalization

Module #22
Customer Journey Mapping
Understanding customer behavior and mapping the customer journey

Module #23
Competitor Analysis
Analyzing competitors using data and market research techniques

Module #24
Data Governance and Ethics
Ensuring data quality, security, and compliance with regulations

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Data Analytics for Digital Marketing career

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Data Analytics for Digital Marketing ( 25 Modules )

Data Analytics for Digital Marketing
( 25 Modules )