Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:01,320 --> 00:00:06,720 Hello everyone and welcome to a brief lecture on the course curriculum in this lecture I'm going to 2 00:00:06,720 --> 00:00:10,700 be giving you just a bird's eye view of all the sections in this course. 3 00:00:11,100 --> 00:00:16,470 Well first start off by completing this section of the Course the course introduction section by talking 4 00:00:16,470 --> 00:00:21,630 about briefly what is data science and then give me the link for the course frequently asked questions 5 00:00:21,630 --> 00:00:22,330 . 6 00:00:22,440 --> 00:00:27,600 After that we'll talk about the Course best practices and learn the best way to approach this course 7 00:00:27,600 --> 00:00:27,810 . 8 00:00:27,870 --> 00:00:32,740 Things such as how to get help in this course and then we'll discuss installation setup for this course 9 00:00:32,750 --> 00:00:32,930 . 10 00:00:33,240 --> 00:00:38,460 And there's different sections for Windows users Mac users or Linux users. 11 00:00:38,490 --> 00:00:42,990 After that we'll finally get started if our programming by starting with the basics we'll learn about 12 00:00:42,990 --> 00:00:50,730 vectors matrices data frames and lists in our That will move on to topics such as data input and output 13 00:00:50,730 --> 00:00:56,660 in our will learn how to read a variety of file formats such as CS VI Excel sequel and even Web scraping 14 00:00:56,660 --> 00:00:58,070 of our. 15 00:00:58,830 --> 00:01:03,900 Then we'll get started by learning about actual programming with our things such as logical operators 16 00:01:03,900 --> 00:01:03,990 . 17 00:01:03,990 --> 00:01:08,270 If Elsin else's statements while loops for loops and how to create functions. 18 00:01:08,520 --> 00:01:13,080 If you're already familiar with those ideas from another programming language you can just quickly reference 19 00:01:13,080 --> 00:01:15,120 the notebooks to grab the syntax. 20 00:01:15,120 --> 00:01:19,860 If you're completely new to computer programming will go over these topics step by step for you in the 21 00:01:19,860 --> 00:01:24,870 video lectures then will move on to data visualization. 22 00:01:24,930 --> 00:01:29,850 In this section of the Course learn how to create interactive visualizations and static visualizations 23 00:01:29,850 --> 00:01:34,170 when you plot to wonder what those topics will have. 24 00:01:34,170 --> 00:01:40,980 Capstone projects a data visualization final project and then a capstone data project that will move 25 00:01:40,980 --> 00:01:45,930 onto the second half of the course which covers all the machine learning topics and will have an introduction 26 00:01:45,930 --> 00:01:51,500 to machine learning with our lecturer that will give an overview of that section of the course. 27 00:01:51,540 --> 00:01:52,120 All right. 28 00:01:52,290 --> 00:01:54,910 That was a very brief discussion of the course curriculum. 29 00:01:54,960 --> 00:01:59,000 If you want the full curriculum you can always just check the course landing page. 30 00:01:59,010 --> 00:02:01,000 Thanks everyone and let's go ahead and get started. 31 00:02:00,990 --> 00:02:02,020 For the rest of the course 3456