
Import data from csv, excel, and external sources into Excel, using get data from text or csv, loading files, and structuring large datasets for analysis.
Master practical Excel data cleaning: convert text to numbers, standardize names with proper case, remove dollar signs, apply currency formatting, and prepare consistent data for marketing analytics.
Remove duplicates to clean data, then link two campaign datasets with vlookup by campaign ID to pull engagement scores and compute ctr from clicks and impressions.
Master index and match lookups to retrieve values from an array using exact, less than, or greater than matches, when identifying campaign IDs to pull conversion rates.
Automate repetitive dataset tasks by recording macros with VBA, using the developer tab to save macro-enabled workbooks and test them on new data with relative references.
Sort the purchase date from newest to oldest and apply filters to narrow data by date and period. Extract year, month, and day with text formulas to analyze patterns.
Master data visualization for marketing by using line, bar, pie, and scatter charts to reveal trends, proportions, and relationships, while applying color theory, labels, and clear axis titles for clarity.
Explore advanced visualizations for marketing analytics, including combo charts, waterfall charts, and bullet charts, to compare metrics like ad spend and revenue, reveal inefficiencies, and track targets.
Learn to create and organize pivot tables to summarize revenue, ad spend, and ROI by platform, region, and date, building interactive dashboards for clear data insights.
Build a dynamic marketing analytics dashboard by arranging charts, enhancing readability, and customizing slicers to reveal interactive metrics like total ad spend, total revenue, and click-through rate.
Create pivot charts and slicers from pivot tables, using clustered bar charts, 3d pie charts, and area charts; connect slicers for dates, regions, sales channels, and product categories.
Add and format pivot charts and slicers on the dashboard, adjusting layout, titles, and colors to showcase revenue growth over time, revenue by geographic region, and revenue by sales channel.
Create dynamic, interactive marketing dashboards in Excel by adding and styling slicers, linking metrics and charts across date, region, channel, and category to reflect selections in real time.
Are you drowning in marketing data, spending endless hours updating reports when you should be crafting strategy? Imagine transforming those mundane spreadsheets into stunning, automated dashboards that tell your marketing story at a glance.
Welcome to "Dynamic Excel Reports for Marketing Analytics" – where we turn data overwhelm into your secret weapon for success.
This isn't just another Excel course. We're here to revolutionize how you handle marketing data, taking you from basic spreadsheets to sophisticated, automated dashboards. You'll master essential marketing metrics, from CTRs to customer lifetime value, while learning the power of automation and Gen AI for effortless data cleaning.
The real transformation happens in our hands-on dashboard projects. You'll create interactive visualizations that make your data sing, building both a performance marketing dashboard and a revenue tracker that answer questions before they're asked. Every technique you learn is grounded in real marketing scenarios, ensuring you can apply your skills immediately at work.
Think of this as your journey from spreadsheet struggle to dashboard mastery. By the time you finish, you'll be creating automated reports that update in real-time, designing intuitive visualizations, and presenting data stories that captivate your audience. You'll become the go-to analytics expert on your team, armed with the skills to turn raw data into actionable insights.
The future of marketing is data-driven, and the time to level up is now. Join thousands of marketing professionals who have already transformed their reporting game. Don't let another week go by struggling with static spreadsheets – enroll now and start creating reports that don't just present data – they drive decisions and deliver results.