CXL – Fred Pike – Excel for Marketers

CXL – Fred Pike – Excel for Marketer

Fred Pike
Fred started his career using Visicalc, the very first electronic spreadsheet, and has been a spreadsheet aficionado ever since.
He is a Managing Director at Northwoods, where most of his client work is centered on Google Analytics and Google Tag Manager implementations. His previous course for CXL, “Using the Google Analytics API add-on with Google Sheets,” was a well-received introduction for non-programmers to the nuances of the Google Analytics API.
Fred is very active in digital marketing for the classical and jazz-mandolin world. He runs SEO and email campaigns, as well as PPC and Facebook ads, for different artists and events. He is widely considered one of the top-10 mandolin marketers in the world (out of a group of about five or so). He is the president of the Milwaukee Mandolin Orchestra and a board member of the Classical Mandolin Society of America.
Outside of work, Fred is a runner and has been a ski instructor for about 14 years. He is also an active pit musician, having played guitar or bass in well over 100 productions.
Throughout this in-depth course, you will learn to

• Import data from multiple sources into Excel or Sheets.
• Discover the best way to tie this data together and make it useful.
• Understand when to use pivot tables and the different lookup types (vlookup, hlookup, and index/match).
• Understand basic spreadsheet troubleshooting skills.
• Learn how to use many of the data-manipulation commands in Excel/Sheets.
• Learn how to apply formulas and work with data to pull insights.
• Analyze data and answer business questions using spreadsheets.

You’re at a huge loss if you can’t functionally use spreadsheets
The business world runs on Excel. You’d be hard-pressed to find a business that doesn’t use it. If you work in growth, marketing, analytics, product, or content, chances are you use it on a daily basis.
Unfortunately, you’re probably not as proficient at Excel as you think you are. It’s not an insult, and it’s certainly not a falsity. In reality, most marketers are just scratching the surface when it comes to spreadsheet work
Combine data sources to discover even more marketing insights
Whether you’re analyzing sales data or calculating the performance of marketing strategies, you’ll find yourself using Excel. Excel can help you optimize your marketing processes, tweak and decide on campaigns, and even track day to day variations in data. No one in the digital world should be operating without this skill.
Most digital marketing tools let you interact with data within their own platform. This is often perfectly fine to view and analyze data, especially at a high level. However, you most likely have multiple sources of data, and it’s almost always the case that these sources of data can be blended to reach deeper conclusions about your marketing efforts.
Pull the data to Excel or Google Sheets
Once there, you have tremendous flexibility and power to link the data and get insights. It’s not necessarily difficult to use Excel, it’s just that Excel isn’t usually taught in a way that is practical and focused on generating actionable insights. In addition, it’s rare you’re shown step-by-step instructions on how to use its more advanced features.
That’s why we created this course.
This course won’t give you prepackaged takeaways – you know your data and its nuances more than we ever could. But what this course will do is teach you how to use Excel efficiently to uncover those insights on your own. It will be another tool in your arsenal – a very effective tool, at that – to make better marketing decisions.
Don’t just scratch the surface
This course is perfect for beginners seeking to learn how to utilize Excel to manage and extract meaning from data, specifically in relation to marketing. Even if you’ve spent a lot of time in Excel, it’s likely you’ll learn some more advanced techniques to get more out of the tool.
Most of the examples will be drawn from marketing tools you use every day – Google Analytics, Search Console, AdWords, Moz, etc. If you’re a marketer, you’ll receive concrete, explicit, and immediately actionable takeaways from this course.
This course will primarily focus on Excel, but we’ll also touch on Google Sheets, as it’s often easier to access data there.
This course is right for you if…

• Your daily work includes working with data across multiple tools (e.g. Google Analytics, Google Search Console, SEMRush, Moz, AdWords. Keyword Planner, etc.)
• You are sometimes stymied by the data analysis capabilities of those tools, and would like to dive deeper or dive more broadly
• Your success and future growth depends on being able to discover the links between data sets

This course is probably not for you if…

• You can do pivot sheets and vlookups in your sleep
• You know best practices in setting up spreadsheets and formulas including troubleshooting errors
• You’ve written and debugged Excel macros

Skills you should have before taking this course

• You should have at least a basic and introductory familiarity with spreadsheets
• e.g. how to create formulas, import files, possibly create some simple graphs, etc.
• More importantly, you should have an understanding of your data and what type of information you want to draw out of it.

Here’s What’s Included:      

• You’ll be able to…
  Import, blend, and analyze data from multiple sources.
  Format the data in a way to best work with it and share it across teams.
  Execute pivot table analysis, common (and powerful functions), and different types of lookups (vlookup, hlookup, and index/match).
  Do basic troubleshooting and fix mistakes most people make when working with spreadsheets.
  Use many of the data-manipulation commands in Excel/Sheets.
  Generally be an efficient and effective spreadsheet user, able to pull insights from many data sources and work with it to answer business questions.
• Your full course curriculum EXCEL FOR MARKETERS
  1. Getting started with Excel
  This class will cover importing data into Excel and beginning to make sense of it all. We’ll talk about the different ways to arrange the data.
  Topics covered:
  Downloading data from Google Search Console using the Google Sheets Add-on
  Sorting the Search Console data in Excel using Sort and Filter
  Three Variations each of the SUM and COUNT functions
  Creating an Excel Table and adding a formula to it
  Creating a Pivot Table (part one)
  Downloading data from Google Analytics (part one)
  2. Documenting and troubleshooting your work
  Building on the data set we downloaded in class one, we’ll see some further ways to format and clean the data to work with it in the most efficient and clean way possible.
  This data hygiene is important not only for insight generation and ease of use, but for shareability and reproducibility internally.
  Topics covered:
  Making sure your data is accurate
  Named Ranges: Why to use them and how to set them up
  Pivot Tables – part two
  Calculated Fields
  Slicers
  Timeline
  Pivot Tables in Google Sheets (part two)
  Excel errors – how to deal with them in your formulas
  VLOOKUP – How to use one of the most valuable functions in Excel
  Sparklines and Conditional Formatting – how to make trends in your data jump out visually
  3. String manipulation and creating links between data sources
  In this class, we’ll look at a number of Excel functions which you use whenever you’re working with string data (i.e. text, not numbers). We’ll also look at a different way to tie two different data sources together, other than the VLOOKUP function we have used previously.
  Topics covered:
  Lots of Excel Functions:
  Len
  Substitute
  Find and Search
  Mid, Left, and Right
  INDEX and MATCH
  Options on the VIEW Menu
  4. Forecasting, third-party tools, and shortcuts
  Wrapping up our course, we continue with further examples of conditional formatting, a quick dive into the world of macros, and an overview of third-party tools you can use to download data from multiple sources (AdWords, Facebook Ads, etc.) into Excel.
  Topics covered:
  Conditional Formatting
  Intro to Macros
  Options with Data Imports
  Pivot Charts and how they relate to Pivot Tables
  Third-party tools to download data to Excel

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