Beginner to Advanced - how to become a data scientist

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Beginner to Advanced - how to become a data scientist (Size: 1.6 GB)
  0 0 B
  001 0 All you need to know about Series.mp4 47.8 MB
  001 0 All you need to know about Series_en.srt 29.7 KB
  001 34 What are Tensors.mp4 15.9 MB
  001 34 What are Tensors_en.srt 11.5 KB
  001 39 Matplotlib - a how to guide.mp4 46.1 MB
  001 42 Seaborn introduction.mp4 3 MB
  001 42 Seaborn introduction_en.srt 2.1 KB
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  001 39 Matplotlib - a how to guide_en.srt 32.4 KB
  001 Introduction - Why are you here and what we will accomplish here.mp4 7.5 MB
  001 Introduction - Why are you here and what we will accomplish here_en.srt 2.6 KB
  002 35 Introduction to numpy 1_en.srt 8.5 KB
  002 43 how to master seaborn 1.mp4 14.8 MB
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  002 1 pandas for data scientists.mp4 19 MB
  002 1 pandas for data scientists_en.srt 10.6 KB
  002 35 Introduction to numpy 1.mp4 13.2 MB
  002 40 Matplotlib - advanced.mp4 60.1 MB
  002 40 Matplotlib - advanced_en.srt 33.8 KB
  002 43 how to master seaborn 1_en.srt 7.5 KB
  002 One important thing before you start.html 716.8 B
  003 41 Matplotlib - advanced.mp4 71.3 MB
  003 What are the prerequesits for data science and this course.mp4 4.1 MB
  003 What are the prerequesits for data science and this course_en.srt 3.1 KB
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  003 2 pandas for data scientists.mp4 18.9 MB
  003 2 pandas for data scientists_en.srt 7.8 KB
  003 36 Introduction to numpy 2.mp4 20.8 MB
  003 36 Introduction to numpy 2_en.srt 15.2 KB
  003 41 Matplotlib - advanced_en.srt 45.2 KB
  003 44 how to master seaborn 2.mp4 13.9 MB
  003 44 how to master seaborn 2_en.srt 7 KB
  004 3 pandas for data scientists.mp4 15 MB
  004 3 pandas for data scientists_en.srt 8.6 KB
  004 37 Introduction to numpy 3.mp4 20.7 MB
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  004 37 Introduction to numpy 3_en.srt 12.4 KB
  004 45 how to master seaborn 3.mp4 12.6 MB
  004 45 how to master seaborn 3_en.srt 7.7 KB
  004 Check you system.mp4 9.8 MB
  004 Check you system_en.srt 6.1 KB
  005 4 pandas for data scientists.mp4 23.9 MB
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  005 38 Introduction to numpy 4.mp4 24.7 MB
  005 38 Introduction to numpy 4_en.srt 16.4 KB
  005 4 pandas for data scientists_en.srt 12.4 KB
  005 46 how to master seaborn 4.mp4 8.8 MB
  005 46 how to master seaborn 4_en.srt 5 KB
  005 Download all the source files.html 102.4 B
  005 Pokemon-Color-Palette.txt 614.4 B
  005 Pokemon.csv 7.8 KB
  005 baseball.csv 465.1 KB
  005 matches.csv 103.5 KB
  005 pima-indians-diabetes.csv 22.7 KB
  005 sales2.csv 614.4 B
  005 test.csv 28 KB
  005 titanicexcel.csv 58.7 KB
  005 train.csv 59.8 KB
  005 transit-segments.csv 19.1 MB
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  006 47 how to master seaborn 5.mp4 11.4 MB
  006 47 how to master seaborn 5_en.srt 7.1 KB
  006 5 Broadcasting operations.mp4 17.9 MB
  006 5 Broadcasting operations_en.srt 9.4 KB
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  007 48 how to master seaborn 6.mp4 16.1 MB
  007 48 how to master seaborn 6_en.srt 8.5 KB
  007 6 Counting.mp4 17.5 MB
  007 6 Counting_en.srt 7.6 KB
  008 49 how to master seaborn 7.mp4 10 MB
  008 49 how to master seaborn 7_en.srt 4.5 KB
  008 7 The issue with missing values - a common problem in machine learning.mp4 28.2 MB
  008 7 The issue with missing values - a common problem in machine learning_en.srt 14.1 KB
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  009 50 how to master seaborn 8.mp4 15.9 MB
  009 50 how to master seaborn 8_en.srt 7.3 KB
  009 8 Dealing with missing values 2.mp4 27 MB
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  009 8 Dealing with missing values 2_en.srt 13.4 KB
  010 51 how to master seaborn 9.mp4 12.8 MB
  010 9 The right data in the right format.mp4 19.4 MB
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  010 51 how to master seaborn 9_en.srt 7 KB
  010 9 The right data in the right format_en.srt 7.9 KB
  011 10 Sorting your data properly.mp4 16 MB
  011 10 Sorting your data properly_en.srt 8 KB
  011 52 how to master seaborn 10.mp4 19.1 MB
  011 52 how to master seaborn 10_en.srt 9.1 KB
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  012 11 How to slice your data 1.mp4 14.3 MB
  012 11 How to slice your data 1_en.srt 8.1 KB
  012 53 how to master seaborn 11.mp4 5.5 MB
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  012 53 how to master seaborn 11_en.srt 2.9 KB
  013 12 How to slice your data 2.mp4 14.5 MB
  013 54 how to master seaborn 12_en.srt 3 KB
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  013 12 How to slice your data 2_en.srt 6.5 KB
  013 54 how to master seaborn 12.mp4 4.8 MB
  014 13 How to check for missing values.mp4 12.5 MB
  014 13 How to check for missing values_en.srt 6.5 KB
  014 55 how to master seaborn 13.mp4 8 MB
  014 55 how to master seaborn 13_en.srt 4.7 KB
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  015 14 A machine learning insight - a full case study.mp4 53.6 MB
  015 56 how to master seaborn 14.mp4 9.5 MB
  015 56 how to master seaborn 14_en.srt 4.8 KB
  15 119.2 KB
  015 14 A machine learning insight - a full case study_en.srt 34 KB
  16 162 KB
  016 15 Master dates.mp4 37.3 MB
  016 15 Master dates_en.srt 15.2 KB
  016 57 The end of the road - What to do now.mp4 4.9 MB
  016 57 The end of the road - What to do now_en.srt 1.5 KB
  017 16 How to deal with dublicates.mp4 25.2 MB
  017 16 How to deal with dublicates_en.srt 8 KB
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  017 More learning resources for your AI learning journey.html 819.2 B
  018 17 How to play with the Index.mp4 20.6 MB
  018 17 How to play with the Index_en.srt 10.4 KB
  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
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  019 18 Slicing techniques.mp4 28.8 MB
  019 18 Slicing techniques_en.srt 14.2 KB
  019 If you like my teaching style and want to continue learning together.html 1 KB
  19 331.5 KB
  020 19 Slicing techniques 2_en.srt 27.5 KB
  20 322.7 KB
  020 19 Slicing techniques 2.mp4 60.6 MB
  021 20 More data science techniques in pandas.mp4 31.1 MB
  021 20 More data science techniques in pandas_en.srt 14.7 KB
  21 115.6 KB
  022 21 Data querying in pandas.mp4 16.7 MB
  022 21 Data querying in pandas_en.srt 8.1 KB
  22 242.7 KB
  023 22 How to work with dates.mp4 53.9 MB
  023 22 How to work with dates_en.srt 32.3 KB
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  024 23 How to work with dates 2.mp4 8 MB
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  024 23 How to work with dates 2_en.srt 4.7 KB
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  025 24 How to work with dates 3.mp4 11.6 MB
  025 24 How to work with dates 3_en.srt 6.4 KB
  026 25 How to work with dates 4.mp4 8 MB
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  026 25 How to work with dates 4_en.srt 4.7 KB
  27 363.7 KB
  027 26 Grouping in pandas beginner to advanced.mp4 52.8 MB
  027 26 Grouping in pandas beginner to advanced_en.srt 24 KB
  28 393.2 KB
  028 27 The Multiindex.mp4 54.8 MB
  028 27 The Multiindex_en.srt 25 KB
  029 28 Data science and Finance.mp4 75.1 MB
  029 28 Data science and Finance_en.srt 33.4 KB
  030 29 In depth combining dataframes.mp4 89.5 MB
  030 29 In depth combining dataframes_en.srt 37.3 KB
  031 30 Useful ways to deal with strings (regex example).mp4 37.8 MB
  031 30 Useful ways to deal with strings (regex example)_en.srt 21.6 KB
  032 31 Bonus Tips and Tricks.mp4 20.7 MB
  032 31 Bonus Tips and Tricks_en.srt 11.6 KB
  033 32 Bonus Tips and Tricks 2.mp4 18.2 MB
  033 32 Bonus Tips and Tricks 2_en.srt 9.9 KB
  034 33 Bonus Tips and Tricks 3.mp4 30.9 MB
  034 33 Bonus Tips and Tricks 3_en.srt 17 KB
  TutsNode.net.txt 102.4 B
  [TGx]Downloaded from torrentgalaxy.to .txt 614.4 B
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  ▲ 202 total files

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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