After doing these courses, I feel confident creating professional visualizations and dashboards
Course Description
In the dynamic field of digital marketing, proficiency in tools like Google Sheets is indispensable. This course begins by introducing the foundational aspects of Google Sheets, particularly focusing on its relevance and application in marketing. We address a common challenge faced by marketing professionals: maintaining the integrity and cleanliness of spreadsheets, especially when they are collaboratively used and constantly updated by multiple parties. The course starts with the basics of spreadsheet management, setting the stage for more advanced techniques.
Data Cleaning and Validation Techniques
As we delve deeper, the course shifts focus to the crucial skills of data validation and the use of regular expressions. These are powerful tools that every marketing analyst should master. We will explore various strategies to ensure data accuracy and consistency, crucial for making informed marketing decisions. Practical exercises will involve spotting and correcting errors in key metrics, utilizing data validation techniques. We will also learn how to effectively use regular expressions to organize and aggregate campaign metrics, a skill vital for handling large and complex marketing datasets.
Visualizing Data and Creating Dashboards
The final part of the course is dedicated to data visualization and dashboard creation. After ensuring our data is clean and well-organized, we will learn how to translate this information into insightful charts. These visual tools are essential for analyzing campaign performance and conveying findings in an easily digestible format. The course culminates in a comprehensive project where participants will apply all the learned skills to create a dynamic and interactive marketing dashboard. This hands-on experience will prepare you to handle real-world digital marketing datasets and derive actionable insights from them.
Prerequisites
Curriculum
Course outline
Data Validation for Clean Data Entry
- The importance of clean data entry50 XP
- Test your knowledge50 XP
- Fix the errors100 XP
- Contribute to the data set100 XP
- Create dropdowns from lists50 XP
- Mitigating campaign name errors50 XP
- List from a range100 XP
- List of items100 XP
- Validations using cell criteria and checkboxes50 XP
- Text validation100 XP
- Check the checkboxes100 XP
- Putting it all together100 XP
Regular Expressions
REGEXMATCH(), REGEXREPLACE(), and REGEXEXTRACT(), to reorganize and aggregate data with ease.Visualize the Data with Charts
Build a Paid Search Campaign Dashboard
Marketing Analytics in Google Sheets
Course
Complete

