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The best place to learn data analytics might be closer than you think, and this update to Analyst Builder shows why. Alex walks through the platform’s expanded courses, including statistics, Snowflake, Databricks, soft skills, AI, Git and GitHub, plus roadmaps built for data analyst, analytics engineering, business intelligence, and advanced data analysis paths.

The video also highlights the upgraded interview practice tools, where you can answer general and technical questions by typing or speaking, then get instant feedback. On top of that, the coding practice area now supports multiple languages at once, making it easier to work through SQL, Python, R, and PostgreSQL-style exercises in one place. The dashboard, AI helper, and free projects are all designed to make learning more organized and practical.

It’s a useful walkthrough for anyone preparing for a data analyst job, building technical interview confidence, or looking for structured online data analytics training. The platform is positioned as a one-stop hub for courses, projects, and practice.

SEO: Ideal for searches like data analyst roadmap, learn data analytics, SQL practice, Python practice, technical interview questions, general interview questions, business intelligence roadmap, analytics engineering, and online data analyst training. If you want course-based learning, interview prep, and hands-on projects for data analytics careers, this platform overview covers all three.

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Transcript
00:00What's going on, everybody? Welcome back to another video. Today, I'm going to show you the best platform to learn
00:05data analytics in the entire world.
00:12Now, I know what you're thinking, Alex, we have your YouTube channel. That is the best place to learn data
00:17analytics in the entire world.
00:18And I don't disagree, but there actually is one better place.
00:22Several years ago, I created Analyst Builder, which hosts all of my courses and allows you to practice SQL and
00:27Python.
00:28Over the years, I've released a ton of courses and the platform has gotten a lot better.
00:32And we just released a huge upgrade.
00:34So if you are new to Analyst Builder, we have so many courses on here.
00:38We have courses on things like statistics, which is one of our more popular courses that I recently released.
00:43A ton of people want the foundations of statistics, but not a lot of places actually cover it.
00:48But I have courses on things like Snowflake and Databricks and Sauce Skills and AI and Git and GitHub and
00:54a ton of other things.
00:55So go ahead and check these out because these are the things that you are going to want to know
00:59for your data analyst job.
01:01The next big upgrade that we made on the platform is we now have all of these different roadmaps.
01:06So right here, we have the Data Analyst Roadmap.
01:08This is our flagship roadmap.
01:10That was our first roadmap we ever created.
01:12But now we have a roadmap for analytics engineering, business intelligence, and advanced data analysis.
01:18Let's come down to the Advanced Data Analyst Roadmap.
01:20This one covers advanced MySQL, so we jump right into the advanced stuff.
01:25We don't cover the things that were in the original Data Analyst Roadmap.
01:29This goes beyond that.
01:30So we have advanced Excel for automation, Microsoft Power BI, Git and GitHub, Azure and AWS, Databricks, Snowflake, AI, Soft
01:39Skills, and that is it.
01:41And so it's going to cover a ton of things that are going to help you level up your career.
01:44These are not just the basics.
01:46These are a lot more the advanced concepts that are needed to really get into the senior level roles.
01:50If we come over to this questions page, we made some big upgrades on both our technical and our general
01:56technical questions.
01:58Now, if you have any type of interview coming up, you're going to want to check this out.
02:01These are the types of questions that you're going to get asked in almost any of your interviews.
02:06And this is a way to actually practice and be ready for those interviews.
02:09Let's come into this question.
02:10This is an easy question, of course, but it says,
02:13When your to-do list has more on it and you can realistically get to, walk me through how you
02:18decide what actually gets your attention.
02:20This is the type of question that you're going to be asked in an interview because they want to see
02:23how you handle these increasing workloads.
02:26And you're going to come down here and you can either type it out or you can talk it out.
02:29And that's the one I prefer.
02:30And then you're going to get feedback on your answer immediately.
02:33Now, I typed out this really simple answer for this question.
02:36And let's just check my answer.
02:38Overall, this is pretty good.
02:39I could have gone a little bit more in-depth and it's going to give me some feedback as well.
02:44But this is how you practice for those actual interview questions, especially if you haven't been through that process before.
02:49A lot of these questions are going to be completely new to you.
02:52If we come back, let's go up to our technical questions.
02:55Now, in almost any data analyst job and a lot of just other data jobs, even like data scientist, data
03:00engineer, sometimes even a business analyst role,
03:03they're going to have you do some type of technical interview.
03:06Now, let's come down here and let's just go to an easy question.
03:09When you get into these technical interviews, they're going to ask you questions like this.
03:13And you're going to need to know how to code and actually write it out and walk through your logic.
03:18Now, some of the upgrades that we've made over time is you can actually code in multiple languages at the
03:23same time now.
03:24So if you want to do Python here, R here, PostgreSQL over here, you can try out and you can
03:30practice this in a ton of different languages at the same time.
03:33We've made this interface feel really simple and natural.
03:36If you come over here and click on this, it's going to populate this just like it would in like
03:40a MySQL database or a PostgreSQL database.
03:42A big upgrade that we've had and that we've just kind of improved over time is we now have this
03:48AI called Alex.
03:50Of course, that's me, but in a cute Fox form.
03:53Alex not only knows what you're doing in here, but it can also connect you to almost any other part
03:58of the website.
03:58And so if you need to explain things or to debug your code, or if you just want to have
04:03it quiz you on, you know, whatever topic you're working on, it can do that.
04:06And so that's a huge upgrade to the platform that he can help with almost anything you need within Analyst
04:11Builder.
04:11We've also made some big upgrades to the dashboard.
04:13Once you log in, this becomes your hub where every time you log in, it comes straight here.
04:19So you don't have to click around anymore.
04:22Now, you can go to all of your roadmaps right here as you're following them.
04:26You also can look at your history and kind of see, am I being consistent over time?
04:31Now, I'm not learning as much on the platform because I created almost all the content on here.
04:35But if you're actively learning, you're going to see everything right here.
04:38You can also pick up from any of your previous courses, any of your previous questions, and check out all
04:44the things that you've bookmarked and all the things that you are interested in right on your dashboard.
04:49We have also added a ton of projects, and these are all free, by the way.
04:53So you can come in here, and anybody can take these, and you can come through, and you can start
04:57these different projects.
04:58And they cover a lot of different domains, and they cover a lot of different levels, with some of them
05:03being beginner, some of them are intermediate, and some are going to be more advanced.
05:07With that being said, go and check it out.
05:09There are a ton of free questions to take on the general technical questions as well as the technical questions.
05:14All the projects are free, so even if you don't want to sign up for the actual paid part of
05:19the platform, there's a ton of great free resources on this platform.
05:23Thank you guys so much for watching.
05:24If you like this video, be sure to like and subscribe, and I will see you in the next one.

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