1 00:00:00,780 --> 00:00:06,600 Congratulations on completing this course, part of it is simple to jump into, but it can be very difficult 2 00:00:06,600 --> 00:00:07,260 to master. 3 00:00:08,860 --> 00:00:13,720 Think back to the beginning of this course, in one of the first videos about relationships, we were 4 00:00:13,720 --> 00:00:20,740 able to create an entire infrastructure to replace Summers, averages, counties and a dozen other functions 5 00:00:20,950 --> 00:00:22,640 without writing a single formula. 6 00:00:23,440 --> 00:00:27,640 From there, we had to learn a little bit about data structuring and we had to learn DACs. 7 00:00:27,790 --> 00:00:34,230 And then we had to look at and understand how to interpret context as it related to pivot tables. 8 00:00:35,050 --> 00:00:40,060 But as you work with this, it'll become second nature to identify the qualitative parts of the data, 9 00:00:40,060 --> 00:00:45,250 to split out and to look at the context and understand how to construct measures that you need. 10 00:00:46,350 --> 00:00:53,010 On its own power, it has a fairly restrictive set of uses, however, it can tie into many, many different 11 00:00:53,010 --> 00:00:55,830 features, both inside and outside of Excel. 12 00:00:56,920 --> 00:01:02,740 The DAX language that drives Power Pivot is the same formula language that's used within the visualization 13 00:01:02,740 --> 00:01:04,300 aspects of power by. 14 00:01:05,930 --> 00:01:13,250 You can use exile's power to help you learn and test your measures as you get more comfortable with 15 00:01:13,250 --> 00:01:18,230 context before you work in the more visually oriented confines of power by. 16 00:01:19,480 --> 00:01:24,130 Similarly, while Power Pivot does allow you to import directly from different tools. 17 00:01:25,420 --> 00:01:31,870 The primary reason I didn't cover that in this course is that it pairs so nicely with power query power 18 00:01:31,870 --> 00:01:37,810 query is the data extraction transformation and loading system that's used both in Excel and power by 19 00:01:37,810 --> 00:01:39,940 for accessing external data sets. 20 00:01:40,980 --> 00:01:46,860 In Excel, you can either load it directly into the data model or you can load it into a table and look 21 00:01:46,860 --> 00:01:47,700 at it outside. 22 00:01:49,440 --> 00:01:56,190 If you find yourself manipulating data frequently for this type of table analysis or you need to integrate 23 00:01:56,190 --> 00:02:01,860 with multiple different data sources, you should definitely look to power query as your next destination. 24 00:02:02,750 --> 00:02:07,790 If you're a data consumer and you want to build better, more dynamic and frankly, much better looking 25 00:02:07,790 --> 00:02:11,840 visuals than what Excel can allow, power buy should be your next stop. 26 00:02:13,290 --> 00:02:15,700 Thank you again so much for taking this course. 27 00:02:15,720 --> 00:02:20,760 I hope you found it helpful and I hope you'll consider looking at some of my other courses in the future. 28 00:02:22,010 --> 00:02:23,240 Thanks and good luck. 29 00:02:32,760 --> 00:02:33,070 And.