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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: WEBVTT 00:00.390 --> 00:05.120 The data scientist course is an amazing journey, and we are thrilled to have you on board. 00:05.640 --> 00:11.430 This is the first attempt to the best of our knowledge at creating a program starting from the very 00:11.430 --> 00:12.120 basics. 00:12.570 --> 00:18.480 It will teach you the foundations of mathematics and statistics and then gradually continue 00:18.480 --> 00:21.480 with advanced statistical analysis and machine learning in Python. 00:22.890 --> 00:28.620 Before we dive into the content, I would like to share a few words about me and Ilya who co-authored 00:28.620 --> 00:29.330 this course. 00:29.790 --> 00:34.880 So I am Martin and I love the fact that I have been a Udemy teacher for two years now. 00:35.280 --> 00:40.550 My core areas of expertise are business intelligence, python and school programming. 00:40.980 --> 00:46.680 I love interacting with students and it truly makes my day when I see that I have received 00:46.680 --> 00:48.300 a five star review from a happy student. 00:48.690 --> 00:54.300 My colleague Ilya is a mathematical whiz kid and he loves teaching machine and deep learning. 00:54.630 --> 01:01.200 His quantitative background and ability to break complex topics into digestible bits make him the perfect 01:01.200 --> 01:04.680 teacher for the statistical and machine learning parts of our course. 01:05.230 --> 01:10.670 I am happy we work together on this project as this is something we wanted to do ever since we met at 01:10.680 --> 01:11.430 university. 01:11.790 --> 01:15.060 The Data Scientist program is truly comprehensive. 01:15.360 --> 01:16.590 Here's how it is structured. 01:17.280 --> 01:21.690 We start off with an intro where we will discuss the world of data science. 01:22.110 --> 01:28.110 We explain why data science is important and how it helps businesses stay competitive in this day and 01:28.110 --> 01:28.560 age. 01:29.220 --> 01:35.310 Then our training continues by introducing important mathematical and statistical concepts that are 01:35.310 --> 01:37.290 essential to do data science. 01:37.740 --> 01:43.890 Once we have laid out a solid foundation, you will be ready to learn Python programming starting from 01:43.890 --> 01:45.060 the very basics. 01:45.060 --> 01:51.750 We will build up your skills and soon you will be able to solve advanced statistics tasks such as clustering, 01:51.750 --> 01:55.440 factoring and carry out different types of regression analysis. 01:55.440 --> 02:04.380 In Python, of course, we saved the best for last building machine and deep learning algorithms, image 02:04.380 --> 02:07.950 recognition, client segmentation, sales forecasting. 02:08.190 --> 02:12.600 Our machine learning training is complete and fully real life oriented. 02:13.170 --> 02:16.470 Leveraging Google State of the Art Tenzer Flow Framework. 02:16.500 --> 02:21.870 You will be able to build Emelle algorithms like a pro to get the most out of this journey. 02:21.870 --> 02:26.400 Please don't skip any lectures as we will gradually build on your knowledge. 02:26.760 --> 02:32.400 It is essential that you start at the beginning as there you will lay the foundation you need to tackle 02:32.400 --> 02:35.730 the more advanced topics you will find later on in the program. 02:36.420 --> 02:41.550 Many of our lessons contain downloadable resources that will help you reinforce what you have learned. 02:42.010 --> 02:48.630 Course notes, exercise files, PDF materials, handy notebook files, everything is included and can 02:48.630 --> 02:49.890 be downloaded easily. 02:50.400 --> 02:56.610 I strongly suggest you complete all the exercises as they are designed not only for practice but also 02:56.610 --> 03:01.260 an additional source of information that will enhance your data science solving skills. 03:01.710 --> 03:05.400 Those of you who complete 50 percent of the course will receive a gift from us. 03:05.790 --> 03:11.970 Our private Tablo training just post in the course Q&A section saying you've completed fifty percent 03:11.970 --> 03:15.450 of the course and we will send you a secret link to the Tablo course. 03:15.960 --> 03:20.910 Moreover, feel free to post in Q&A if you experience difficulties. 03:20.940 --> 03:24.690 Would like to ask a question or simply want to share something with the community. 03:25.260 --> 03:27.330 We are always happy to hear from you. 03:27.930 --> 03:30.150 I hope you are as excited as I am. 03:30.540 --> 03:34.200 Let's dive straight in and begin this journey together. 4627

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