Congratulations on becoming a data analyst who can officially claim to know how to use SQL. Your perseverance through all the queries you've now mastered has significantly increased your earning potential as well as your ability to provide real value to your business. In doing so, I hope it has also inspired you to learn more about databases and give you confidence that, with a little hard work, you can learn all kinds of new things about the data and technology world that can enhance your career. If you've gone through all the exercises in this course, you know enough to immediately start using SQL in your job. As you do that, though, you might find you have new questions about how to design queries or make them more efficient. You have at least a couple approaches available to you in these situations. The first is the Internet. The Internet has a wealth of resources to help you learn SQL functions in different ways. Or you can ask an online community for advice on how to handle specific problems. One of the most popular resources developers and learners use is stackoverflow.com, which defines itself as a collaboratively edited question and answer site for programmers. Any time you have a SQL question, my advice is to search this site first. There's a very good chance somebody else has already had the same question or similar problem so you will be able to see how they solved it. You can also post new questions. When you do, multiple people in the programming community usually respond to help you out. Another course of action you can take when you have a SQL question or run into a SQL problem is to ask for help from other programmers at your own workplace. Especially because they will know your company's database environment better than anybody on the internet. Now I know that might sound a little bit scary to do at first because you are worried that you are supposed to know everything about databases by the time you're hired for an analyst job. I want to assure you that that is decidedly not the case. The tech world moves so quickly, that nobody knows every analytics or programming tool out there anymore. There simply aren't enough hours in the day to learn every single program and every single language, and data driven companies know this particularly well. That's precisely why it is so important to job recruiters, to hire people who are eager to learn. For self motivated trying new things, and who aren't intimidated by the prospect of applying new tools they just learned to the real situations. What recruiters want to see is that you get yourself in there and work your way through problems, not that you know everything. Here's Ryan Luecke again, sharing his experience about when he joined Box. >> I definitely feel comfortable asking people at Box for help on the job. I didn't actually start out knowing anything about web applications. Databases was the only operative course I did not take at my university and so I do have a lot of questions when it comes to databases. However, the people at Box are super helpful and willing to share what they know and I owe them a lot of what I know now. And that's been crucial. Okay, my experience is that since people don't expect you to know everything, in reality, asking is okay. In fact, a lot of the most senior engineers ask a lot of questions because it's not possible to know everything. Even if you were really smart or you had a lot of experience in a lot of areas you won't be kept up to date on everything there is to know about every piece of technology and every database. Oh, wow. Hold on a second these lights are dimming. This is bizarre. And this is like a new building? I mean, a new office? I'm going to jack up the lights in here. I think I just haven't moved. >> I was particularly eager to share that last clip with you because it shows that even a senior engineer at Box can have technological problems; even problems as simple as turning on the lights. Once Ryan got the lights back on, he had this helpful parting thought. >> So don't be afraid to learn. And to ask questions. And to find colleagues and people who will help you because no one is born knowing it. You're going to have to learn it somewhere. >> Upon hearing this advice from Ryan and I, you might be thinking okay, fine. Maybe it's okay to ask questions but what if I make a mistake? Won't people think I'm unqualified and wonder why they hired me in the first place? That is a very common concern for people who are new to the technology side of the business world. But that too is not something you should worry too much about. The tech world is so reliant on people's ability to learn new things, that people make mistakes all the time. Here's Elena Grewal, Data Science Manager at Air BNB, sharing her perspective about making mistakes on the job. >> So there are so many times we have gotten things wrong. So I have many examples of that. That said, I think a really important culture to have on any team is the culture of bringing forward any errors. And, that being celebrated, that we understand that everyone will make mistakes. And the most important thing is actually to say when you realize that you've made a mistake so that we can correct it. So I think the biggest problems that companies will have is when someone's made a mistake and they're either too afraid or worried to bring it forward. And so that's definitely a huge part of our culture. >> So you see, having the confidence to ask for help when you get into trouble or don't know how to do something. Will be much more useful and admired than hiding the fact that you are stuck and don't know how to proceed. By learning SQL you have already shown your future employees that you embrace the data driven nature of the business world. Don't be afraid to embrace the entire culture that comes along with being so focused on data. It's a culture of intense curiosity, perpetual learning, and exciting new adventures around every corner. Asking question will be your fuel, your inspiration, and your greatest weapon in this fast paced community. I am so excited to hear about the questions you ask to move the field forward. As my parting gift to you before you go off to make your data discoveries, here is the link that might help you remember all of the things you learned in this course.
