What Is Data Analytics? A Complete Guide For Beginners (eBook, ePUB)
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Analytics, AI, and Data Science for Business and the Real World. I wish I had taken this Book when I first started learning data science because it is very useful.The best aspect is that it includes case studies that cover a wide range of typical business problems that data scientists encounter in the real world. The Book concentrates on knowing all the fundamental theory and programming skills needed to become a data scientist.Additionally, they anticipate that new personnel will be able to use Data Science solutions to address their difficulties. Over the coming decades, data scientists who ...
Analytics, AI, and Data Science for Business and the Real World. I wish I had taken this Book when I first started learning data science because it is very useful.
The best aspect is that it includes case studies that cover a wide range of typical business problems that data scientists encounter in the real world. The Book concentrates on knowing all the fundamental theory and programming skills needed to become a data scientist.
Additionally, they anticipate that new personnel will be able to use Data Science solutions to address their difficulties. Over the coming decades, data scientists who are capable of doing this will show to be among the most important resources in business!
As per Glassdoor & Harvard Business Review, "Data Scientist has become the top job in the US for the last 4 years running!" But there's a steep learning curve in data science. How can one even begin working in this field that's full of mystery, muddle, unfathomable arithmetic, and code? Even after you get your feet wet, it might be challenging to apply your newly acquired Data Science skills to actual problems.
This Book aims to close all those knowledge gaps that deter novices while also applying your understanding of Deep Learning and Data Science to practical business issues.
The best aspect is that it includes case studies that cover a wide range of typical business problems that data scientists encounter in the real world. The Book concentrates on knowing all the fundamental theory and programming skills needed to become a data scientist.
Additionally, they anticipate that new personnel will be able to use Data Science solutions to address their difficulties. Over the coming decades, data scientists who are capable of doing this will show to be among the most important resources in business!
As per Glassdoor & Harvard Business Review, "Data Scientist has become the top job in the US for the last 4 years running!" But there's a steep learning curve in data science. How can one even begin working in this field that's full of mystery, muddle, unfathomable arithmetic, and code? Even after you get your feet wet, it might be challenging to apply your newly acquired Data Science skills to actual problems.
This Book aims to close all those knowledge gaps that deter novices while also applying your understanding of Deep Learning and Data Science to practical business issues.
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