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Data Science for Business Professionals: A Practical Guide for Beginners (English Edition)

Data Science for Business Professionals: A Practical Guide for Beginners (English Edition)

By None

Current price: $21.69
Original price: $27.08
Visit retailer's website
Data Science for Business Professionals: A Practical Guide for Beginners (English Edition)

Coles

Data Science for Business Professionals: A Practical Guide for Beginners (English Edition)

By None

Current price: $21.69
Original price: $27.08
Loading Inventory...

Size: Kobo eBook

Visit retailer's website
*Product information and pricing may vary - to confirm current pricing, availability, shipping, and return information please contact Coles. In the event of a pricing discrepancy, the retailer's price will apply.
The book will initially explain the What-Why of Data Science and the process of solving a Data Science problem. The fundamental concepts of Data Science, such as Statistics, Machine Learning, Business Intelligence, Data pipeline, and Cloud Computing, will also be discussed. All the topics will be explained with an example problem and will show how the industry approaches to solve such a problem. The book will pose questions to the learners to solve the problems and build the problem-solving aptitude and effectively learn. The book uses Mathematics wherever necessary and will show you how it is implemented using Python with the help of an example dataset.
The book will initially explain the What-Why of Data Science and the process of solving a Data Science problem. The fundamental concepts of Data Science, such as Statistics, Machine Learning, Business Intelligence, Data pipeline, and Cloud Computing, will also be discussed. All the topics will be explained with an example problem and will show how the industry approaches to solve such a problem. The book will pose questions to the learners to solve the problems and build the problem-solving aptitude and effectively learn. The book uses Mathematics wherever necessary and will show you how it is implemented using Python with the help of an example dataset.

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