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Whether you’re a beginner or a Jedi, we have entire courses dedicated to helping you do more with your data. These courses have helped thousands of people to learn Tableau faster than they thought was possible.

At most organizations, the SQL database is sacrosanct. Day in and day out, DBAs protect the write operations and storage requirements of the database to ensure that no matter what, every piece of data is accurately recorded for posterity. Analysis? In most cases, analysis can wait. Extracts can be scheduled at slow times of the day like the early morning. Live connections to the database during business hours (when business users actually have questions) are dangerous and unnecessary. Unfortunately, this limits the usefulness of the data that is being so carefully stored and curated.

Years ago, one of my colleagues asked if you could eventually learn everything there was to ever know about Tableau. Naively, I said, “Yes.” But I was wrong! I learn Tableau every day.

You asked for API improvements, and we’ve heard you. In Tableau 10.1, we’ve made improvements to many of our APIs to let you do more, and do them more easily. We’ve also released a brand-new client library that drastically reduces the amount of code required to use the REST API.

Check out our latest round of the Best of the Tableau Web!

Eight-year-old Joe Radburn spends many Mondays “doing data.” Joe is a regular in Makeover Monday, a weekly exercise in reimagining data visualizations. “My dad downloads the data, and then I have like 20 minutes to kind of get happy with it. Then once I’m happy with it, my dad looks at it,” says Joe.

When we asked you to share #DataLessons (advice for people starting their data journey), the wisdom started flowing in! And once again, we were reminded of what a generous and thriving community we have. Whether you're a beginner or an experienced vizzer, we are sure that some of these tips will resonate with you as much as they did with us! Here are the highlights.

What an honour! #MakeoverMonday has been shortlisted for “Best DataViz Project” in the Kantar Information Is Beautiful Awards.