Data Analytics in Digital Advertising
( 24 Modules )

Module #1
Introduction to Data Analytics
Overview of data analytics in digital advertising, its importance, and key concepts

Module #2
Digital Advertising Landscape
Understanding the digital advertising ecosystem, key players, and trends

Module #3
Data Analytics Fundamentals
Introduction to data analysis, data types, and data visualization

Module #4
Key Performance Indicators (KPIs) in Digital Advertising
Understanding key metrics used to measure campaign performance

Module #5
Setting Up Analytics Tools
Setting up Google Analytics, Google Tag Manager, and other analytics tools

Module #6
Data Collection Methods
Overview of data collection methods, including cookies, pixels, and server-side tracking

Module #7
Understanding Tracking Codes and Pixels
In-depth look at tracking codes and pixels, including implementation and best practices

Module #8
Data Validation and Quality Control
Ensuring data accuracy and quality, including data validation and data cleaning

Module #9
Measuring Campaign Performance
Understanding how to measure campaign performance, including ROI and conversion tracking

Module #10
Auditing Analytics Implementations
Auditing analytics implementations for accuracy and optimization opportunities

Module #11
Data Analysis Fundamentals
Introduction to data analysis, including data mining and statistical concepts

Module #12
Data Visualization Best Practices
Creating effective data visualizations, including charts, tables, and dashboards

Module #13
Analyzing User Behavior
Analyzing user behavior, including user flow, bounce rate, and conversion analysis

Module #14
Segmentation and Filtering
Segmenting and filtering data to gain insights, including audience analysis

Module #15
Storytelling with Data
Presenting data insights effectively, including storytelling techniques and reporting best practices

Module #16
Predictive Analytics in Digital Advertising
Introduction to predictive analytics, including forecasting and modeling

Module #17
Machine Learning in Digital Advertising
Applying machine learning to digital advertising, including customer sentiment analysis

Module #18
Attribution Modeling
Understanding attribution modeling, including data-driven attribution and multi-touch attribution

Module #19
Customer Data Platforms (CDPs)
Overview of CDPs, including data unification and customer profiling

Module #20
Data Science in Digital Advertising
Applying data science principles to digital advertising, including A/B testing and experimentation

Module #21
Creating a Data-Driven Strategy
Developing a data-driven strategy for digital advertising, including goal-setting and objective definition

Module #22
Implementing Data Analytics in Digital Advertising
Implementing data analytics in digital advertising, including tool selection and vendor management

Module #23
Measuring ROI and Optimizing Budgets
Measuring ROI and optimizing budgets, including budget allocation and bidding strategies

Module #24
Course Wrap-Up & Conclusion
Planning next steps in Data Analytics in Digital Advertising career

WIZAPE

ONLINE RESOURCES

ABOUT WIZAPE

ONLINE PORTAL

Our priority is to cultivate a vibrant community before considering the release of a token. By focusing on engagement and support, we can create a solid foundation for sustainable growth. Let’s build this together!

We're giving our website a fresh new look and feel! 🎉 Stay tuned as we work behind the scenes to enhance your experience.
Get ready for a revamped site that’s sleeker, and packed with new features. Thank you for your patience. Great things are coming!

CONTACT-US PRIVACY POLICY

Data Analytics in Digital Advertising ( 24 Modules )

Data Analytics in Digital Advertising
( 24 Modules )