beginner to advanced - how to become a data scientist

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Dan We

10:22:28

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01 - Course introduction

001 Introduction - Why are you here and what we will accomplish here.mp4

01:40

002 One important thing before you start.html

003 What are the prerequesits for data science and this course.mp4

02:14

004 Check you system.mp4

05:10

005 Download all the source files.html

005 Pokemon.csv

005 Pokemon-Color-Palette.txt

005 baseball.csv

005 matches.csv

005 pima-indians-diabetes.csv

005 sales2.csv

005 test.csv

005 titanicexcel.csv

005 train.csv

005 transit-segments.csv

02 - pandas for data science

001 0 All you need to know about Series.mp4

23:20

002 1 pandas for data scientists.mp4

07:45

003 2 pandas for data scientists.mp4

05:36

004 3 pandas for data scientists.mp4

06:21

005 4 pandas for data scientists.mp4

08:47

006 5 Broadcasting operations.mp4

07:11

007 6 Counting.mp4

05:53

008 7 The issue with missing values - a common problem in machine learning.mp4

10:44

009 8 Dealing with missing values 2.mp4

10:55

010 9 The right data in the right format.mp4

06:06

011 10 Sorting your data properly.mp4

06:19

012 11 How to slice your data 1.mp4

06:22

013 12 How to slice your data 2.mp4

05:09

014 13 How to check for missing values.mp4

04:35

015 14 A machine learning insight - a full case study.mp4

25:15

016 15 Master dates.mp4

11:58

017 16 How to deal with dublicates.mp4

06:04

018 17 How to play with the Index.mp4

07:39

019 18 Slicing techniques.mp4

11:19

020 19 Slicing techniques 2.mp4

21:50

021 20 More data science techniques in pandas.mp4

11:51

022 21 Data querying in pandas.mp4

06:42

023 22 How to work with dates.mp4

26:17

024 23 How to work with dates 2.mp4

03:35

025 24 How to work with dates 3.mp4

05:03

026 25 How to work with dates 4.mp4

03:35

027 26 Grouping in pandas beginner to advanced.mp4

18:00

028 27 The Multiindex.mp4

19:40

029 28 Data science and Finance.mp4

26:22

030 29 In depth combining dataframes.mp4

31:18

031 30 Useful ways to deal with strings (regex example).mp4

15:39

032 31 Bonus Tips and Tricks.mp4

09:05

033 32 Bonus Tips and Tricks 2.mp4

07:08

034 33 Bonus Tips and Tricks 3.mp4

11:48

03 - Introduction to numpy - what you need to know

001 34 What are Tensors.mp4

08:24

002 35 Introduction to numpy 1.mp4

06:42

003 36 Introduction to numpy 2.mp4

10:26

004 37 Introduction to numpy 3.mp4

09:55

005 38 Introduction to numpy 4.mp4

12:35

04 - Data Visualization

001 39 Matplotlib - a how to guide.mp4

25:26

002 40 Matplotlib - advanced.mp4

28:08

003 41 Matplotlib - advanced.mp4

37:06

05 - Master Data Visualization with Seaborn

001 42 Seaborn introduction.mp4

01:33

002 43 how to master seaborn 1.mp4

05:28

003 44 how to master seaborn 2.mp4

05:07

004 45 how to master seaborn 3.mp4

05:34

005 46 how to master seaborn 4.mp4

03:38

006 47 how to master seaborn 5.mp4

05:05

007 48 how to master seaborn 6.mp4

06:48

008 49 how to master seaborn 7.mp4

03:21

009 50 how to master seaborn 8.mp4

05:28

010 51 how to master seaborn 9.mp4

05:24

011 52 how to master seaborn 10.mp4

06:54

012 53 how to master seaborn 11.mp4

02:13

013 54 how to master seaborn 12.mp4

02:22

014 55 how to master seaborn 13.mp4

03:43

015 56 how to master seaborn 14.mp4

03:37

016 57 The end of the road - What to do now.mp4

01:03

017 More learning resources for your AI learning journey.html

018 Bonus - How to use Transfer learning to predict ice cream.mp4

12:13

019 If you like my teaching style and want to continue learning together.html

Description

master data science fundamentals for machine learning, deep learning and neural networks

What You'll Learn?

You can apply important data science methods on any dataset you want
You have acquired a deep understanding in data exploration and preparation techniques
You understand numpy and it‘s importance for data science
You can apply advanced visualization techniques to present your findings
you are prepared to dive deeper into machine learning and neural networks
You might open up new career opportunities for you which are not only highly rewarding but also offer more job satisfaction

Who is this 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

More details

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,Â 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.Â Any kind of machine learningÂ (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 visualizingÂ 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 likeÂ you are searching for a way to enter this topic. Most often the biggest problem isÂ 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 Â python, this course will help you to learn all the relevant skills for data science!
Together let's learn, explore and applyÂ the coreÂ fundamentals in data science for machine learning / deep learning / neural networksÂ and set up the foundation for you future career..
Can't wait to start coding with you!Â Meet me in the first lecture!
BestÂ
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

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Dan is a 33 year old entrepreneur ,data enthusiast consultant and trainer. He holds a master degree and is certified in Power BI, Tableau, Alteryx (Core and Advanced) and KNIME (L1-L3).He is currently working in Business Intelligence field and helps companies and individuals to get key insights from their data to deliver long term growth and outpace their competitors.He has a passion for learning and teaching and is committed to support other people, by offering them educational services to help them accomplishing their goals and becoming the best in their profession or explore a new career path."The dots will connect"Just do it!

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