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These are the user uploaded subtitles that are being translated: 1 00:00:01,680 --> 00:00:06,810 Hello everyone and welcome to the lecture on the course notes and this lecture and discuss briefly how 2 00:00:06,810 --> 00:00:13,020 to get the course notes and then give me a brief tour of the course notes themselves. 3 00:00:13,020 --> 00:00:15,950 Go ahead and check the resources section for this lecture. 4 00:00:16,020 --> 00:00:22,230 And you should be able to download a zip file the name of the zip file as our dash course that's ASTM 5 00:00:22,230 --> 00:00:24,140 l dash notes zip. 6 00:00:24,300 --> 00:00:31,490 Then go ahead and unzip or extract the files from that zip file and they should all be a group of HTL 7 00:00:31,500 --> 00:00:32,240 files. 8 00:00:32,280 --> 00:00:35,160 You should see them organized by folders. 9 00:00:35,160 --> 00:00:38,250 Let me go ahead and show you what that looks like. 10 00:00:38,250 --> 00:00:42,500 All right well in the course you should see something like this that says resources available. 11 00:00:42,510 --> 00:00:48,930 This will be a video but you'll click resources available and you'll see that course that Tim notes 12 00:00:48,940 --> 00:00:49,720 that it. 13 00:00:49,800 --> 00:00:52,900 Go ahead and click on it to begin downloading it. 14 00:00:53,610 --> 00:00:58,530 Once you've downloaded that file go ahead and extract the folders and files inside of it. 15 00:00:58,530 --> 00:01:01,150 I'm going to go ahead and jump to that now. 16 00:01:01,860 --> 00:01:02,130 All right. 17 00:01:02,130 --> 00:01:06,960 Here I am once you've extracted and unzipped the actual course. 18 00:01:07,140 --> 00:01:08,130 Him all notes. 19 00:01:08,130 --> 00:01:12,900 You'll get something that looks a little bit like this and you should see our for data science machine 20 00:01:12,900 --> 00:01:13,670 learning. 21 00:01:13,680 --> 00:01:17,170 Go ahead and double click that folder and you'll see a variety of folders. 22 00:01:17,370 --> 00:01:25,140 These folders contain the course notes and almost every single lecture in a video lecture has some notebook 23 00:01:25,320 --> 00:01:27,680 or notes associated with it. 24 00:01:27,900 --> 00:01:33,840 For instance we're going to start off with the basics of R and you'll go ahead and for the very first 25 00:01:33,840 --> 00:01:41,040 section click basics of R and data types and you'll see our basics our data frames our list and our 26 00:01:41,040 --> 00:01:41,990 matrices. 27 00:01:42,090 --> 00:01:47,010 These four folders are going to cover the first sections of the course. 28 00:01:47,010 --> 00:01:51,200 And that means you're going to go ahead and for the very first section click are basics. 29 00:01:51,210 --> 00:01:57,200 Now you should see a bunch of HVM files and the name of the files corresponds with the name of the lecturer 30 00:01:57,200 --> 00:01:57,750 . 31 00:01:57,810 --> 00:02:02,670 For instance if you're on the lecture called arithmetic with are the corresponding note book is also 32 00:02:02,670 --> 00:02:07,850 called arithmetic with R and if you ever have any trouble finding these you can go ahead and just post 33 00:02:07,870 --> 00:02:10,790 the Q&A forums and I'll help you find it. 34 00:02:11,430 --> 00:02:18,480 But then you can just double click on that T.M. file and you should see a pop up in your browser with 35 00:02:18,480 --> 00:02:23,700 that actual h tim l file and then you can zoom in and check out the arithmetic with R. 36 00:02:23,700 --> 00:02:28,500 This is a very basic lecture but essentially there's notes and then there's actual code and you can 37 00:02:28,500 --> 00:02:32,500 see that the code is in what is the little code cells here. 38 00:02:32,580 --> 00:02:36,300 And this is the code you can copy and paste into our studio. 39 00:02:36,300 --> 00:02:40,300 Let me go ahead and show you another example that's a little more complex. 40 00:02:40,350 --> 00:02:43,060 I'm going go ahead and jump back to the notes. 41 00:02:43,170 --> 00:02:43,400 All right. 42 00:02:43,410 --> 00:02:44,660 Here I am at the notes. 43 00:02:44,670 --> 00:02:49,680 Let's say you've continued on the course and now you're at the vector an indexing and slicing. 44 00:02:49,710 --> 00:02:55,860 Lecture again you just double click on this HVM Al file and I'll take you to the notes for that file 45 00:02:55,860 --> 00:02:56,110 . 46 00:02:56,190 --> 00:03:01,350 And you'll notice that these notes not only contain code but they also contain useful information that 47 00:03:01,350 --> 00:03:02,140 you can read. 48 00:03:02,400 --> 00:03:07,740 And it's basically explanations that supplement what I'm saying in the videos so you can always reference 49 00:03:07,740 --> 00:03:11,780 these notes in case you want more information than what's in the videos. 50 00:03:11,910 --> 00:03:16,260 And if you ever want the exact code that I put in the videos you can just copy and paste what's in the 51 00:03:16,260 --> 00:03:18,250 cells into your console. 52 00:03:18,270 --> 00:03:25,740 In our studio something to note is that these cells assume that you're putting everything into the console 53 00:03:25,800 --> 00:03:27,710 not the script. 54 00:03:27,750 --> 00:03:32,850 Sometimes if you put stuff in the script you'll have to declare Prince and we'll go over that in a future 55 00:03:32,850 --> 00:03:33,610 lecture. 56 00:03:33,610 --> 00:03:40,080 But for now just keep in mind that if you paste this into your script code and run it and nothing happens 57 00:03:40,170 --> 00:03:44,120 it's probably because you don't have a print statement actually printing your results. 58 00:03:44,130 --> 00:03:47,600 For instance here I just say V-1 now will work in your console. 59 00:03:47,610 --> 00:03:53,640 But if you have it in your script you'll need to say print the one once you get to that section of the 60 00:03:53,640 --> 00:03:55,360 course you should be pretty comfortable with that. 61 00:03:55,560 --> 00:03:57,910 But go ahead and always post to the Q&A forums. 62 00:03:57,990 --> 00:03:59,970 If you have any questions on that. 63 00:04:00,480 --> 00:04:04,140 Now that we have an idea of what these notes actually look like let me go ahead and give you a brief 64 00:04:04,140 --> 00:04:06,470 tour of all the notes for the course. 65 00:04:06,510 --> 00:04:08,820 I'm going to go ahead and hop back to the notes. 66 00:04:09,330 --> 00:04:09,730 OK. 67 00:04:09,780 --> 00:04:12,510 Here's the entire repository of notes. 68 00:04:12,510 --> 00:04:16,890 You'll notice we have basics of our and data types that's going to be the very first section you encounter 69 00:04:16,890 --> 00:04:17,310 . 70 00:04:17,310 --> 00:04:21,350 So go ahead and just start off by looking at the notes here. 71 00:04:21,390 --> 00:04:26,500 You'll serve our basics and then move on to things such as our matrices and here are the lectures for 72 00:04:26,500 --> 00:04:28,140 the matrices section. 73 00:04:28,380 --> 00:04:35,100 Then you move on to the data frames and then you also move on to the lists once you finished the basics 74 00:04:35,100 --> 00:04:36,380 of r. 75 00:04:36,480 --> 00:04:40,140 You may have some training exercises that show up during that section of the course. 76 00:04:40,410 --> 00:04:45,300 All training exercises are located under the training exercises folder. 77 00:04:45,300 --> 00:04:46,850 That means no matter what section you're in. 78 00:04:46,860 --> 00:04:52,500 Even if it's machine learning or data visualization or basics of our program and our if you ever encounter 79 00:04:52,500 --> 00:04:58,770 a training exercise you can find that easily by going to your training exercises folder and then you'll 80 00:04:58,770 --> 00:05:03,210 see capstone and date of his project's exercises. 81 00:05:03,240 --> 00:05:08,150 Exercise solutions and machine learning projects for now at the beginning of the course. 82 00:05:08,160 --> 00:05:10,350 You only have training exercises. 83 00:05:10,350 --> 00:05:13,140 You'll go ahead and click on one of these exercises. 84 00:05:13,230 --> 00:05:16,890 For instance the first one you'll get is the basics exercise. 85 00:05:16,890 --> 00:05:21,190 Go ahead and click on that are basics exercise and you'll see something that looks like this. 86 00:05:21,320 --> 00:05:24,810 And essentially this exercise just has a bunch of questions for you to answer. 87 00:05:24,810 --> 00:05:29,850 And before every exercise I give you a brief introduction to what I actually expect for you to do for 88 00:05:29,850 --> 00:05:30,940 the exercise. 89 00:05:30,960 --> 00:05:34,400 You'll go ahead and answer these questions in our studio. 90 00:05:34,740 --> 00:05:40,560 Now all the exercises in this course are self-created and that means there are solutions for the exercise 91 00:05:40,560 --> 00:05:40,830 . 92 00:05:41,070 --> 00:05:45,960 Going back to the actual notes you were back at the exercise notes. 93 00:05:46,020 --> 00:05:51,870 If you want the solutions you just go back one click exercises that solutions and you'll see solutions 94 00:05:51,900 --> 00:05:57,840 for all the training exercises and that covers the exercises for basically the first half of the course 95 00:05:57,840 --> 00:05:59,820 . 96 00:06:00,870 --> 00:06:05,160 Going back to training exercise once you finished the first half of the Course will start approaching 97 00:06:05,460 --> 00:06:11,190 the capstone project and the data visualization project that's located under the capstone and date of 98 00:06:11,190 --> 00:06:12,990 his projects folder. 99 00:06:12,990 --> 00:06:14,380 Go ahead and click on it. 100 00:06:14,490 --> 00:06:20,820 You can click on the capstone project and see Moneyball project that will be working with the folder 101 00:06:20,910 --> 00:06:22,210 or the html file right. 102 00:06:22,230 --> 00:06:25,440 Therefore as well as the data that's relevant to that. 103 00:06:25,440 --> 00:06:30,000 Again we always show an introduction to the projects and that means if you ever confused on anything 104 00:06:30,030 --> 00:06:37,140 and just reference the intro to the cap some project lecture and then for the data visualization project 105 00:06:37,230 --> 00:06:40,190 again you can reference that here. 106 00:06:40,860 --> 00:06:43,490 Living along you'll also machine learning projects. 107 00:06:43,500 --> 00:06:46,600 I'll review all this information when you actually get to the machine learning section. 108 00:06:46,800 --> 00:06:51,360 But if you're looking for the M-L or a machine learning projects you'll just click under training exercises 109 00:06:51,840 --> 00:06:57,300 machine learning projects and then there's project assignments and solutions as well as the V files 110 00:06:57,300 --> 00:06:59,570 for the data for those machine learning projects. 111 00:06:59,580 --> 00:07:05,340 I'll go over all this information again when we actually get to that second half of the course but for 112 00:07:05,340 --> 00:07:10,980 now which you should just be worried about is being able to find that zip file unzip it and accessing 113 00:07:10,980 --> 00:07:16,230 the basics of our and data types and then go into the relevant section for you. 114 00:07:16,500 --> 00:07:19,680 Then you'll keep moving on to things such as data input and output. 115 00:07:19,680 --> 00:07:22,650 There are some example files for here you as well. 116 00:07:22,650 --> 00:07:27,760 Then there's programming are things such as for loops functions etc.. 117 00:07:27,780 --> 00:07:29,500 Advanced Programming. 118 00:07:30,000 --> 00:07:35,460 Then there's also data manipulation which is that the guide to the plier tidy or pipe operation data 119 00:07:35,460 --> 00:07:38,860 visualization has all these plots for you as well as a cheat sheet. 120 00:07:38,920 --> 00:07:40,370 You can check out later. 121 00:07:40,740 --> 00:07:46,950 And then there's interactive data visualisation and program with are all right if you're ever confused 122 00:07:46,950 --> 00:07:49,560 on any of this or you're having trouble unzipping the file. 123 00:07:49,560 --> 00:07:54,480 Go ahead and just post the Kunin forms and the other students and I are happy to help out for any questions 124 00:07:54,480 --> 00:07:56,040 you may have. 125 00:07:56,040 --> 00:07:58,320 All right thanks everyone. 126 00:07:58,320 --> 00:07:59,950 And one more notes. 127 00:07:59,970 --> 00:08:04,910 A lot of people wonder why do we choose h t m l files instead of PDA files. 128 00:08:05,220 --> 00:08:10,860 Well the reason for that is that pedia files will sometimes tend to cut off code if the code is too 129 00:08:10,860 --> 00:08:17,460 long and with HCM l files you can see the entire cell of code no matter how long that particular line 130 00:08:17,460 --> 00:08:21,600 of code was and that's why we chose HVM l files for this course. 131 00:08:21,840 --> 00:08:27,930 If you prefer PDA files you can just google search HVM else to PTF converters and convert all these 132 00:08:27,930 --> 00:08:31,480 ASTM el files to Piaf's if that's easier for you to print out. 133 00:08:31,530 --> 00:08:36,750 Although if you just open this in your browser such as while loops you should be able to just right 134 00:08:36,750 --> 00:08:40,260 click and then select print and print out this file. 135 00:08:40,260 --> 00:08:45,360 But again the reason I chose html files is that a PDA files is that if this particular line of code 136 00:08:45,390 --> 00:08:51,390 is very long the PDA will have a cut off that's smaller than the HTL file and the H-2A metafile will 137 00:08:51,390 --> 00:08:54,490 be able to display everything OK. 138 00:08:54,840 --> 00:08:57,850 Again post the Q&A If you're confused on any of that. 139 00:08:57,930 --> 00:09:00,460 But thanks and I'll see at the next lecture. 15043