1 00:00:01,120 --> 00:00:05,750 And welcome back to another class of our course about the complete introduction to the science with 2 00:00:05,760 --> 00:00:06,360 Bigstone. 3 00:00:06,960 --> 00:00:11,970 So today's class is our last class, about this amazing course about data science. 4 00:00:11,970 --> 00:00:16,440 And I really hope that you guys have learned a lot of things right here. 5 00:00:17,310 --> 00:00:23,700 So basically what we do today is we are going to make a quick summary and simply talk about the course 6 00:00:23,700 --> 00:00:24,760 in general. 7 00:00:26,040 --> 00:00:29,790 So first of all, what we talked about in discourse is pretty simple. 8 00:00:29,790 --> 00:00:35,630 We talked about, well, all statistical concepts that are really used for data science. 9 00:00:36,270 --> 00:00:42,900 We talked about the different tools that can be used for data science, such as by Skype, by Pendas, 10 00:00:43,140 --> 00:00:45,060 Seabourne and others. 11 00:00:46,080 --> 00:00:51,780 We also had a little introduction to ASCII learn and talked also about machine learning. 12 00:00:51,790 --> 00:00:56,010 So basically all the different algorithms and even worked with some of them. 13 00:00:57,090 --> 00:01:02,630 So once again, right now, you guys should have a really good introduction to data science. 14 00:01:03,090 --> 00:01:05,460 So basically, what exactly is that a science? 15 00:01:05,460 --> 00:01:13,920 What are all the tools that you can use for data science when you work with it in Python and basically 16 00:01:14,040 --> 00:01:15,770 everything that is around that assigns? 17 00:01:15,780 --> 00:01:21,240 Yes, you are maybe not a professional of data science, but once again, you have all the basic knowledge 18 00:01:21,240 --> 00:01:26,520 to be able to pursue your career and even make small projects in that sense. 19 00:01:26,940 --> 00:01:29,460 So right now you have everything that you need. 20 00:01:30,660 --> 00:01:34,380 Besides that, I'd like to thank you all for taking this class once again. 21 00:01:34,380 --> 00:01:36,550 It was an honor for me to be able to teach you. 22 00:01:37,470 --> 00:01:43,260 Yes, of course, there are plenty of concepts and there are signs that are not easy to understand. 23 00:01:43,440 --> 00:01:48,450 Well, when you are the student, but also not easy to teach when you are the teacher. 24 00:01:49,500 --> 00:01:55,020 So once again, I hope you understood everything that I all the information that I try to transmit you 25 00:01:55,020 --> 00:02:02,910 guys the course in general, I try to be as straight as possible, so not playing around and just stalling 26 00:02:02,910 --> 00:02:03,370 for time. 27 00:02:03,410 --> 00:02:10,410 So I try to be straight to the point as possible and explain the concepts the best that I could. 28 00:02:11,250 --> 00:02:16,980 So besides of that, I hope you guys like the course in general and you like my style of teaching. 29 00:02:16,980 --> 00:02:22,410 So if you really enjoyed my style of teaching, I don't need to check out my other courses. 30 00:02:22,410 --> 00:02:25,280 So I have plenty of those right here. 31 00:02:25,670 --> 00:02:28,350 I'm pretty sure you would like it. 32 00:02:28,350 --> 00:02:32,580 And if you want to learn a little bit more about Python, you can check out my python course. 33 00:02:32,580 --> 00:02:36,150 You should probably love it because of that. 34 00:02:36,390 --> 00:02:43,920 Thanks again for being here and supporting me in this teaching adventure and being part of it as well 35 00:02:44,190 --> 00:02:47,100 and see all my other courses.