Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:05,850 --> 00:00:10,040 Hello everyone and welcome to the introduction to our basics section of this course. 2 00:00:10,080 --> 00:00:14,820 By now you should have your environment fully set up understand what this course is about and get ready 3 00:00:14,820 --> 00:00:18,210 to tackle the rest of the curriculum of the course in the introductions. 4 00:00:18,210 --> 00:00:21,770 Our basic section will start off with the very beginning of what you should know. 5 00:00:21,780 --> 00:00:26,660 Things like arithmetic and are how to create a variable in our and then go over our basic data types 6 00:00:26,660 --> 00:00:33,420 such as vectors lists matrices data frames etc. to start off with the introduction to our basic section 7 00:00:33,420 --> 00:00:33,690 . 8 00:00:33,720 --> 00:00:39,820 I want to show you how next four sections of the Course are built into the notes for this course. 9 00:00:39,870 --> 00:00:45,060 Again if you want the notes go ahead and review the lecture called course notes which has a basic overview 10 00:00:45,060 --> 00:00:46,950 of the notes and how to download them. 11 00:00:46,950 --> 00:00:50,310 Right now I'm going to go ahead and jump to those notes myself. 12 00:00:50,310 --> 00:00:50,930 Let me go ahead. 13 00:00:50,940 --> 00:00:53,700 Open those files in another window. 14 00:00:53,700 --> 00:00:54,000 All right. 15 00:00:54,000 --> 00:01:00,070 Here I am at the course notes for the next few couple of sections Sections 4 5 6 and 7. 16 00:01:00,300 --> 00:01:05,490 All the notes that you're going to need are available either in the basics of R and data types or if 17 00:01:05,490 --> 00:01:07,500 you're actually performing a training exercise. 18 00:01:07,600 --> 00:01:12,300 You'll be under the training exercises folder her now may go in and should the basics of our and data 19 00:01:12,300 --> 00:01:17,310 types go to this folder and we're going to start off with just our basic section. 20 00:01:17,610 --> 00:01:21,180 Meaning these are the actual notebooks corresponding to each lecture. 21 00:01:21,180 --> 00:01:25,530 You can go in and double click them open them up in your browser and explore the code A corresponds 22 00:01:25,530 --> 00:01:26,580 to lecture. 23 00:01:26,580 --> 00:01:31,590 Basically what I'm going to be doing is explaining and coding out live for you in video. 24 00:01:31,650 --> 00:01:34,810 All the notes that are in these notebook files. 25 00:01:35,070 --> 00:01:40,050 If you go ahead and go back to the basics of our types you'll notice there's matrices lists and data 26 00:01:40,050 --> 00:01:40,770 frames. 27 00:01:40,830 --> 00:01:46,110 These are the next subsequent sections that are also all fall under the basics of R and data types folder 28 00:01:46,120 --> 00:01:47,000 . 29 00:01:47,850 --> 00:01:53,640 So here's the code for our base or our data frame's code for the Arliss SpaceX lecture and then code 30 00:01:53,640 --> 00:01:55,280 for the matrices lecture. 31 00:01:55,320 --> 00:02:00,630 If you actually get to a training exercise section in the next couple of sections go to the training 32 00:02:00,630 --> 00:02:02,100 exercises folder. 33 00:02:02,100 --> 00:02:07,640 Double click on it click on exercises and then find the appropriate exercise. 34 00:02:07,670 --> 00:02:13,380 It'll match the title of the lecture and if you want the solution to that exercise then check out the 35 00:02:13,380 --> 00:02:15,530 solutions folder. 36 00:02:15,570 --> 00:02:17,870 All right that's all you need to know to continue. 37 00:02:17,910 --> 00:02:22,950 If you have any questions feel free to post the Q&A section of the course in me or the other students 38 00:02:22,950 --> 00:02:24,960 will be happy to answer them for you. 39 00:02:24,960 --> 00:02:27,100 Thanks everyone and I'll see at the next lecture. 4192