Free checklist: 30 Days to Data Analyst

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“How do I get better at data?” is a question I get a lot. It’s an interesting one to answer — plenty of great resources are out there, it’s just a matter of finding the right sequence for the right objective and circumstances. I assume “get better at data” in this case to mean using data to meet business objectives through common technologies like spreadsheets, databases, and programming languages.

To meet that objective, I’ve assembled “30 Days to Data Analyst,” a free checklist providing 30 resources and activities to perform across the web. Some days you’ll be on my blog, others you’ll visit others’ blogs, yet others you’ll be reading documentation, downloading software, and more.

By the end of the checklist, you will have a lay of the land of a data analyst’s career path, their roles and technologies used. A sample of the checklist follows. You’ll see that a variety of topics and activities are covered, just within the first few days.

30 days to data analyst preview
A preview of the 30 Days to Data Analyst playlist

This checklist assumes some basic knowledge of technology and computers. You should be able to navigate Excel workbooks and perform basic calculations, for example, along with installing programs from the internet.

To download 30 Days to Data Analyst, subscribe below.

Like technology itself, this checklist is subject to updating and refining — please leave comments with your favorite resources or topics for fledgling data analysts.

To leave a comment for the author, please follow the link and comment on their blog: Stringfest Analytics. offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
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