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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:05,280 --> 00:00:06,689 Welcome to this course. 2 00:00:07,350 --> 00:00:10,470 I'm really looking forward to taking you through this course on Power BI. 3 00:00:10,500 --> 00:00:14,640 You're going to find with that that it's one of the most powerful and easiest business intelligence 4 00:00:14,640 --> 00:00:15,720 tools to use. 5 00:00:15,900 --> 00:00:19,830 You're going to find that a fundamentally changes the way that you do your data analysis. 6 00:00:20,280 --> 00:00:21,990 Quick introduction before we get going. 7 00:00:22,020 --> 00:00:25,740 My name is Ian Littlejohn and I'm going to be your instructor for the course. 8 00:00:26,280 --> 00:00:29,370 My background is, is that I'm a Udemy partner instructor. 9 00:00:29,850 --> 00:00:32,250 I'm also a data analyst and a consultant. 10 00:00:33,000 --> 00:00:37,110 But let's have a look at a little bit more detail as to what we're going to cover in this course. 11 00:00:37,470 --> 00:00:39,360 So in this course, we've got a lot to cover. 12 00:00:39,390 --> 00:00:42,750 I'm going to start off by looking at our different Power BI products. 13 00:00:42,750 --> 00:00:44,790 We're going to get an understanding and an overview of them. 14 00:00:44,800 --> 00:00:49,290 I'm going to look at how we sign up for them, how we also load data into them and get a little bit 15 00:00:49,290 --> 00:00:50,400 of an understanding. 16 00:00:50,700 --> 00:00:53,280 I know we're going to be looking at how do we create some simple reports. 17 00:00:53,280 --> 00:00:57,600 We're going to be looking at some tables, some matrices, some cards and putting that together. 18 00:00:58,140 --> 00:01:01,530 The next step is we're going to be looking at publishing into the Power BI service. 19 00:01:01,530 --> 00:01:06,420 So we're going to see how we can publish up from your desktop and how we get that information available 20 00:01:06,420 --> 00:01:07,980 within the power of your service. 21 00:01:08,700 --> 00:01:11,700 From there, the next step is we're going to be looking within the Power BI our service. 22 00:01:11,700 --> 00:01:16,080 How do we create dashboards, how do we look at things like Q&A and some other things that we can do, 23 00:01:16,080 --> 00:01:18,570 like for example, looking at mobile reports. 24 00:01:19,140 --> 00:01:21,610 Once we completed those steps, we're going to be moving backwards. 25 00:01:21,610 --> 00:01:23,510 So we're going to be looking back at our data model. 26 00:01:23,520 --> 00:01:25,440 So we're going to come back into our Power BI desktop. 27 00:01:25,440 --> 00:01:29,520 We're going to look at how we create some formulas, how we create, look at different functions, how 28 00:01:29,520 --> 00:01:31,200 we use our Dak's functions. 29 00:01:31,210 --> 00:01:33,750 So we'll be looking at how we build up our data model. 30 00:01:34,080 --> 00:01:37,230 We're going to be then going on from there, looking at our relationships. 31 00:01:37,230 --> 00:01:41,370 We're going to be seeing how we can create relationships within the Power BI data model. 32 00:01:41,880 --> 00:01:44,280 We're then going to look at our query editor. 33 00:01:44,280 --> 00:01:47,220 You're going to find that the query editor is an incredibly powerful product. 34 00:01:47,370 --> 00:01:51,990 It's going to allow us to be able to transform and to clean up our data before we actually bring it 35 00:01:51,990 --> 00:01:52,950 into our power. 36 00:01:52,950 --> 00:01:54,590 BI So we're I have a look at that. 37 00:01:54,600 --> 00:01:58,500 We're going to see some certain transformations we can do and get an understanding of it. 38 00:01:59,070 --> 00:02:03,270 We're also going to be looking at how Power BI and Excel works together, so we're going to be seeing 39 00:02:03,270 --> 00:02:07,560 that we can use Excel to actually analyze and understand our Power BI data. 40 00:02:07,650 --> 00:02:09,750 Then we're going to be looking at a case study. 41 00:02:09,750 --> 00:02:14,610 It's just in data that I've worked with over the years from the coronavirus, So we get the data from 42 00:02:14,610 --> 00:02:16,110 the World Health Organization. 43 00:02:16,110 --> 00:02:20,070 So I'm just going to run you through a report that I've created and also how we embed it. 44 00:02:20,070 --> 00:02:21,930 And we hosted up on a website. 45 00:02:21,930 --> 00:02:24,470 So as you can see, we've got a lot to cover in the course. 46 00:02:24,480 --> 00:02:25,620 Can't wait to get going. 47 00:02:25,620 --> 00:02:26,970 Let's jump into the lessons. 48 00:02:26,970 --> 00:02:27,870 I will see you there. 4853

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