Google Data Analytics Professional Certificate

  Context is the condition in which something exists or happens. Context is important in data analytics because it helps you sift through huge amounts of disorganized data and turn it into something meaningful. The fact is, data has little value if it is not paired with context. Understanding the context behind the data can help us make it more meaningful at every stage of the data analysis process. For example, you might be able to make a few guesses about what you're looking at in the following table, but you couldn't be certain without more context.  2010 28000 2005 18000 2000 23000 1995 10000 On the other hand, if the first column was labeled to represent the years when a survey was conducted, and the second column showed the number of people who responded to that survey, then the table would start to make a lot more sense. Take this a step further, and you might notice that the survey is conducted every 5 years. This added context helps you understand why there are five-...

  As a quick refresher, a function is a preset command that automatically performs a specific process or task using the data in a spreadsheet. Functions give data analysts the ability to do calculations, which can be anything from simple arithmetic to complex equations. Use this reading to help you keep track of some of the most useful options. Functions The basics Just like formulas, start all of your functions with an equal sign (=SUM). The equal sign tells the spreadsheet that what follows is part of a function, not just a word or number in a cell.  After you type the equal sign, most spreadsheet applications will display an autocomplete menu that lists valid functions, names, and text strings. This is a great way to create and edit functions while avoiding typing and syntax errors. A fun way to learn new functions is by simply typing an equal sign and a single letter of the alphabet. Choose one of the options that pops up and learn what that function does. Difference betwe...

  When you are new to data analytics—and sometimes even when you aren't—spreadsheet struggles are real. It never feels good when you type in what you are sure is a perfect formula or function, only to get an error message. Understanding errors and how to fix them is a big part of keeping your data clean, so it’s important to know how to deal with issues as they come up, and more importantly, not to get discouraged. Remember, even the most advanced spreadsheet users come across problems from time to time. In this reading, you will learn about common errors and how to fix them.  But first, here are a few best practices and helpful tips. These strategies will help you avoid spreadsheet errors to begin with, making your life in analytics a whole lot less stressful: Filter data to make your spreadsheet less complex and busy. Use and freeze headers so you know what is in each column, even when scrolling. When multiplying numbers, use an asterisk (*) not an X. Start every formula and...