Beginner to Advanced - how to become a data scientist

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Beginner to Advanced - how to become a data scientist [TutsNode.net] - Beginner to Advanced - how to become a data scientist 05 - Master Data Visualization with Seaborn
  • 018 Bonus - How to use Transfer learning to predict ice cream.mp4 (95.8 MB)
  • 018 Bonus - How to use Transfer learning to predict ice cream_en.srt (21.7 KB)
  • 011 52 how to master seaborn 10_en.srt (9.1 KB)
  • 007 48 how to master seaborn 6_en.srt (8.5 KB)
  • 004 45 how to master seaborn 3_en.srt (7.7 KB)
  • 002 43 how to master seaborn 1_en.srt (7.5 KB)
  • 009 50 how to master seaborn 8_en.srt (7.3 KB)
  • 006 47 how to master seaborn 5_en.srt (7.1 KB)
  • 010 51 how to master seaborn 9_en.srt (7.0 KB)
  • 003 44 how to master seaborn 2_en.srt (7.0 KB)
  • 005 46 how to master seaborn 4_en.srt (5.0 KB)
  • 015 56 how to master seaborn 14_en.srt (4.8 KB)
  • 014 55 how to master seaborn 13_en.srt (4.7 KB)
  • 008 49 how to master seaborn 7_en.srt (4.5 KB)
  • 013 54 how to master seaborn 12_en.srt (3.0 KB)
  • 012 53 how to master seaborn 11_en.srt (2.9 KB)
  • 001 42 Seaborn introduction_en.srt (2.1 KB)
  • 016 57 The end of the road - What to do now_en.srt (1.5 KB)
  • 019 If you like my teaching style and want to continue learning together.html (1.0 KB)
  • 017 More learning resources for your AI learning journey.html (0.8 KB)
  • 011 52 how to master seaborn 10.mp4 (19.1 MB)
  • 007 48 how to master seaborn 6.mp4 (16.1 MB)
  • 009 50 how to master seaborn 8.mp4 (15.9 MB)
  • 002 43 how to master seaborn 1.mp4 (14.8 MB)
  • 003 44 how to master seaborn 2.mp4 (13.9 MB)
  • 010 51 how to master seaborn 9.mp4 (12.8 MB)
  • 004 45 how to master seaborn 3.mp4 (12.6 MB)
  • 006 47 how to master seaborn 5.mp4 (11.4 MB)
  • 008 49 how to master seaborn 7.mp4 (10.0 MB)
  • 015 56 how to master seaborn 14.mp4 (9.5 MB)
  • 005 46 how to master seaborn 4.mp4 (8.8 MB)
  • 014 55 how to master seaborn 13.mp4 (8.0 MB)
  • 012 53 how to master seaborn 11.mp4 (5.5 MB)
  • 016 57 The end of the road - What to do now.mp4 (4.9 MB)
  • 013 54 how to master seaborn 12.mp4 (4.8 MB)
  • 001 42 Seaborn introduction.mp4 (3.0 MB)
01 - Course introduction
  • 005 matches.csv (103.5 KB)
  • 001 Introduction - Why are you here and what we will accomplish here_en.srt (2.6 KB)
  • 002 One important thing before you start.html (0.7 KB)
  • 005 train.csv (59.8 KB)
  • 005 sales2.csv (0.6 KB)
  • 005 Download all the source files.html (0.1 KB)
  • 005 baseball.csv (465.1 KB)
  • 005 test.csv (28.0 KB)
  • 005 Pokemon-Color-Palette.txt (0.6 KB)
  • 005 titanicexcel.csv (58.7 KB)
  • 005 pima-indians-diabetes.csv (22.7 KB)
  • 005 Pokemon.csv (7.8 KB)
  • 004 Check you system_en.srt (6.1 KB)
  • 003 What are the prerequesits for data science and this course_en.srt (3.1 KB)
  • 005 transit-segments.csv (19.1 MB)
  • 004 Check you system.mp4 (9.8 MB)
  • 001 Introduction - Why are you here and what we will accomplish here.mp4 (7.5 MB)
  • 003 What are the prerequesits for data science and this course.mp4 (4.1 MB)
03 - Introduction to numpy - what you need to know
  • 005 38 Introduction to numpy 4_en.srt (16.4 KB)
  • 003 36 Introduction to numpy 2_en.srt (15.2 KB)
  • 004 37 Introduction to numpy 3_en.srt (12.4 KB)
  • 001 34 What are Tensors_en.srt (11.5 KB)
  • 002 35 Introduction to numpy 1_en.srt (8.5 KB)
  • 005 38 Introduction to numpy 4.mp4 (24.7 MB)
  • 003 36 Introduction to numpy 2.mp4 (20.8 MB)
  • 004 37 Introduction to numpy 3.mp4 (20.7 MB)
  • 001 34 What are Tensors.mp4 (15.9 MB)
  • 002 35 Introduction to numpy 1.mp4 (13.2 MB)
02 - pandas for data science
  • 030 29 In depth combining dataframes.mp4 (89.5 MB)
  • 030 29 In depth combining dataframes_en.srt (37.3 KB)
  • 015 14 A machine learning insight - a full case study_en.srt (34.0 KB)
  • 029 28 Data science and Finance_en.srt (33.4 KB)
  • 023 22 How to work with dates_en.srt (32.3 KB)
  • 001 0 All you need to know about Series_en.srt (29.7 KB)
  • 020 19 Slicing techniques 2_en.srt (27.5 KB)
  • 028 27 The Multiindex_en.srt (25.0 KB)
  • 027 26 Grouping in pandas beginner to advanced_en.srt (24.0 KB)
  • 031 30 Useful ways to deal with strings (regex example)_en.srt (21.6 KB)
  • 034 33 Bonus Tips and Tricks 3_en.srt (17.0 KB)
  • 029 28 Data science and Finance.mp4 (75.1 MB)
  • 016 15 Master dates_en.srt (15.2 KB)
  • 021 20 More data science techniques in pandas_en.srt (14.7 KB)
  • 019 18 Slicing techniques_en.srt (14.2 KB)
  • 008 7 The issue with missing values - a common problem in machine learning_en.srt (14.1 KB)
  • 005 4 pandas for data scientists_en.srt (12.4 KB)
  • 009 8 Dealing with missing values 2_en.srt (13.4 KB)
  • 032 31 Bonus Tips and Tricks_en.srt (11.6 KB)
  • 002 1 pandas for data scientists_en.srt (10.6 KB)
  • 018 17 How to play with the Index_en.srt (10.4 KB)
  • 033 32 Bonus Tips and Tricks 2_en.srt (9.9 KB)
  • 006 5 Broadcasting operations_en.srt (9.4 KB)
  • 004 3 pandas for data scientists_en.srt (8.6 KB)
  • 022 21 Data querying in pandas_en.srt (8.1 KB)
  • 012 11 How to slice your data 1_en.srt (8.1 KB)
  • 017 16 How to deal with dublicates_en.srt (8.0 KB)
  • 011 10 Sorting your data properly_en.srt (8.0 KB)
  • 010 9 The right data in the right format_en.srt (7.9 KB)
  • 003 2 pandas for data scientists_en.srt (7.8 KB)
  • 007 6 Counting_en.srt (7.6 KB)
  • 014 13 How to check for missing values_en.srt (6.5 KB)
  • 013 12 How to slice your data 2_en.srt (6.5 KB)
  • 025 24 How to work with dates 3_en.srt (6.4 KB)
  • 024 23 How to work with dates 2_en.srt (4.7 KB)
  • 026 25 How to work with dates 4_en.srt (4.7 KB)
  • 020 19 Slicing techniques 2.mp4 (60.6 MB)
  • 028 27 The Multiindex.mp4 (54.8 MB)
  • 023 22 How to work with dates.mp4 (53.9 MB)
  • 015 14 A machine learning insi

Description


Description

So you want to become a data scientist hm? But you do not know how and where to start?

If your answer to these question is : Yes that’s correct, then you are at the right place!

You could not have chosen a better time to introduce yourself to this topic.Data science is the most interesting topic in the world we live in and beside that also highly rewarding. It will shape our future and therefore it’s better to act now than regret later. Any kind of machine learning (self driving cars, stock market prediction, image recognition, text analyzing or simply getting insights of huge datasets – it’s all part of data science.

The jobs of tomorrow – self employed or employed will encounter exploring, analyzing and visualizing data – it’ s simply the “oil of this century”. And the golden times are yet to come!

“From my personal experience I can tell you that companies will actively searching for you if you aquire some skills in the data science field. Diving into this topic can not only immensly improve your career opportunities but also your job satisfaction!”

With this in mind it’s totally understandable that smart people like you are searching for a way to enter this topic. Most often the biggest problem is how to find the right way master data science from scratch. And that’s what this course is all about.

My goal is to show you and easy, interesting and efficient way to start data science from scratch. Even if you have barely started with coding and only know the basics of python, this course will help you to learn all the relevant skills for data science!

Together let’s learn, explore and apply the core fundamentals in data science for machine learning / deep learning / neural networks and set up the foundation for you future career..

Can’t wait to start coding with you! Meet me in the first lecture!

Best

Daniel
Who this course is for:

beginners with no prior knowlege
beginners who have acquired some knowledge
students who are interested in a data science career
students who want to acquire a solid foundation to dive into machine learning and neural networks
You want to take advantage of the data driven opportunity ahead

Requirements

Basic knowledge in python is helpful
Your personal interest, commitment and >10h of your time
An open mindset

Last Updated 1/2023



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Beginner to Advanced - how to become a data scientist


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1.6 GB
seeders:61
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Beginner to Advanced - how to become a data scientist


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