beginner to advanced - how to become a data scientist
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Beginner to Advanced Data Science Skills:
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
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60 All you need to know about Series
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71 pandas for data scientists
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82 pandas for data scientists
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93 pandas for data scientists
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104 pandas for data scientists
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115 Broadcasting operations
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126 Counting
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137 The issue with missing values - a common problem in machine learning
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148 Dealing with missing values 2
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159 The right data in the right format
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1610 Sorting your data properly
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1711 How to slice your data 1
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1812 How to slice your data 2
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1913 How to check for missing values
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2014 A machine learning insight - a full case study
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2115 Master dates
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2216 How to deal with dublicates
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2317 How to play with the Index
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2418 Slicing techniques
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2519 Slicing techniques 2
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2620 More data science techniques in pandas
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2721 Data querying in pandas
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2822 How to work with dates
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2923 How to work with dates 2
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3024 How to work with dates 3
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3125 How to work with dates 4
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3226 Grouping in pandas beginner to advanced
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3327 The Multiindex
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3428 Data science and Finance
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3529 In depth combining dataframes
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3630 Useful ways to deal with strings (regex example)
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3731 Bonus Tips and Tricks
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3832 Bonus Tips and Tricks 2
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3933 Bonus Tips and Tricks 3