Description

Power BI Training for Marketing Professionals (2 Days)

Power BI Training for Marketing Professionals is a two-day course that teaches marketing professionals how to leverage Power BI for data-driven decision-making. Participants will learn to track key marketing metrics, clean and prepare data, design impactful dashboards, and analyze campaign performance. The course also covers advanced topics like predictive analytics, customer segmentation, and sentiment analysis, providing practical experience with Power BI’s integration capabilities. By the end, attendees will be equipped to use data analytics to enhance marketing strategies effectively.

Course Outline

Introduction to Marketing Analytics with Power BI

The Role of Analytics in Modern Marketing

Explore how data analytics is transforming marketing strategies and driving business growth. Learn the key roles that Power BI plays in analyzing marketing data.

Key Marketing Metrics and KPIs

Understand the essential marketing metrics and KPIs that every marketing professional needs to track for effective campaign analysis.

Importance of Data-Driven Decision Making

Discover the significance of making informed decisions based on data insights, and how Power BI empowers marketers to stay ahead of the competition.

Integrating Power BI with Marketing Tools and Platforms

Learn how to seamlessly connect Power BI with popular marketing tools and platforms to enhance your data analysis capabilities.

Types of Marketing Data

Overview of Marketing Data Sources

Digital Marketing Data (SEO, PPC, Social Media)

Data Attributes and Quality Considerations

Data Accuracy and Completeness

Preparing Marketing Data for Power BI

Data Cleaning and Transformation Techniques

Learn techniques for cleaning and transforming your marketing data to ensure accuracy and reliability in your Power BI reports.

Creating Marketing Data Models

Best Practices for Designing Data Models in Marketing

Integrating Multiple Data Sources in Power BI

Combining Online and Offline Marketing Data

Designing Marketing Dashboards

Principles of Effective Dashboard Design

Understanding Your Audience’s Needs

Layout and Interactivity

Organizing Dashboard Elements for Clarity

Customizing Visualizations for Marketing Insights

Branding Your Dashboards

Analyzing Campaign Performance

Measuring Digital Marketing Effectiveness

PPC and SEO Performance Analysis

Email Marketing Analysis

Analyzing Open Rates, Click-Through Rates, and Conversions

Content Marketing Analysis

Assessing Content Engagement and Reach

Multi-Channel Marketing Attribution

Understanding the Customer Journey

Predictive Analytics in Marketing

Introduction to Predictive Analytics

Use Cases for Predictive Analytics in Marketing

Building Predictive Models with Power BI and R/Python

Integrating R/Python Scripts in Power BI

Customer Segmentation and Targeting

Creating Dynamic Customer Segments with DAX

Sentiment and Text Analysis

Text Analytics in Marketing

Overview of Sentiment Analysis

Implementing Sentiment Analysis in Power BI

Preparing Text Data for Analysis

Text Classification and Topic Modeling

Identifying Key Themes in Customer Feedback