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These are the user uploaded subtitles that are being translated: 1 00:00:00,450 --> 00:00:05,680 The data scientist course is an amazing journey and we are thrilled to have you on board. 2 00:00:05,700 --> 00:00:11,430 This is the first attempt to the best of our knowledge and creating a program starting from the very 3 00:00:11,430 --> 00:00:12,540 basics. 4 00:00:12,660 --> 00:00:18,450 It will teach you the foundations of mathematics and statistics and then gradually continue with advanced 5 00:00:18,450 --> 00:00:22,900 statistical analysis and machine learning in Python. 6 00:00:22,950 --> 00:00:28,830 Before we dive into the content I would like to share a few words about me and Ylia who coauthored this 7 00:00:28,830 --> 00:00:35,340 course so I am Martin and I love the fact that I've been a teacher for two years now. 8 00:00:35,370 --> 00:00:41,040 My core areas of expertise are business intelligence Python and rescue programming. 9 00:00:41,070 --> 00:00:46,680 I love interacting with students and it truly makes my day when I see that I have received a five star 10 00:00:46,680 --> 00:00:48,750 review from a happy student. 11 00:00:48,750 --> 00:00:54,620 My colleague Ylia is a mathematical whiz kid and he loves teaching machine and deep learning. 12 00:00:54,690 --> 00:01:01,200 His quantitative background and ability to break complex topics into digestible bits make him the perfect 13 00:01:01,200 --> 00:01:05,380 teacher for the statistical and machine learning parts of our course. 14 00:01:05,400 --> 00:01:10,650 I'm happy we work together on this project as this is something we wanted to do ever since we met at 15 00:01:10,650 --> 00:01:11,730 university. 16 00:01:11,850 --> 00:01:15,410 The data scientist program is truly comprehensive. 17 00:01:15,420 --> 00:01:16,970 Here's how it is structured. 18 00:01:17,340 --> 00:01:22,170 We start off with an intro where we'll discuss the world of data science. 19 00:01:22,170 --> 00:01:28,080 We explain why data science is important and how it helps businesses stay competitive in this day and 20 00:01:28,080 --> 00:01:29,060 age. 21 00:01:29,250 --> 00:01:35,310 Then our training continues by introducing important mathematical and statistical concepts that are 22 00:01:35,310 --> 00:01:37,760 essential to do data science. 23 00:01:37,800 --> 00:01:43,890 Once we have laid out a solid foundation you will be ready to learn Python programming starting from 24 00:01:43,890 --> 00:01:45,100 the very basics. 25 00:01:45,150 --> 00:01:51,690 We will build up your skills and soon you will be able to solve advanced statistics tasks such as clustering 26 00:01:51,810 --> 00:01:56,830 factoring and carry out different types of regression analysis in Python. 27 00:01:57,030 --> 00:02:04,050 Of course we saved the best for last building machine and deep learning algorithms. 28 00:02:04,050 --> 00:02:10,800 Image recognition client segmentation sales forecasting our machine learning training is complete and 29 00:02:10,800 --> 00:02:13,000 fully real life oriented. 30 00:02:13,230 --> 00:02:18,720 Leveraging Google's state of the art tensor flow framework you will be able to build M-L algorithms 31 00:02:18,810 --> 00:02:21,990 like a pro to get the most out of this journey. 32 00:02:21,990 --> 00:02:26,770 Please don't skip any lectures as we will gradually build on your knowledge. 33 00:02:26,850 --> 00:02:29,360 It is essential that you start at the beginning. 34 00:02:29,400 --> 00:02:34,710 As there you will lay the foundation you need to tackle the more advanced topics you will find later 35 00:02:34,710 --> 00:02:36,100 on in the program. 36 00:02:36,480 --> 00:02:42,020 Many of our lessons contain downloadable resources that will help you reinforce what you have learned. 37 00:02:42,070 --> 00:02:49,260 Course notes exercise files PBF materials handy notebook files everything is included and can be downloaded 38 00:02:49,290 --> 00:02:50,490 easily. 39 00:02:50,490 --> 00:02:56,610 I strongly suggest you complete all the exercises as they are designed not only for practice but also 40 00:02:56,610 --> 00:03:01,600 an additional source of information that will enhance your data science solving skills. 41 00:03:01,770 --> 00:03:08,000 Those of you who complete 50 percent of the course will receive a gift from us our private Tablo training. 42 00:03:08,160 --> 00:03:13,350 Just post in the course Q&A section saying you've completed 50 percent of the course and we will send 43 00:03:13,350 --> 00:03:16,050 you a secret link to the Tablo course. 44 00:03:16,050 --> 00:03:20,950 Moreover feel free to post in Q&A if you experience difficulties. 45 00:03:20,970 --> 00:03:25,240 We'd like to ask a question or simply want to share something with the community. 46 00:03:25,320 --> 00:03:27,680 We are always happy to hear from you. 47 00:03:28,050 --> 00:03:30,350 I hope you are as excited as I am. 48 00:03:30,600 --> 00:03:34,210 Let's dive straight in and begin this journey together.5198

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