Data Science For Business: How To Use Data Analytics and Data Mining in Business, Big Data For Business

Nonfiction, Computers, Database Management, Data Processing
Cover of the book Data Science For Business: How To Use Data Analytics and Data Mining in Business, Big Data For Business by John Harper, John Harper
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Author: John Harper ISBN: 9781386573241
Publisher: John Harper Publication: February 20, 2019
Imprint: Language: English
Author: John Harper
ISBN: 9781386573241
Publisher: John Harper
Publication: February 20, 2019
Imprint:
Language: English

Data Science For Business: How To Use Data Analytics and Data Mining in Business, Big Data For Business

What defines the success of a business? Is it the number of people employed by the firm? Is it the sales turnover of the business? Is it the strength of the customer base of the firm? Does employee satisfaction play a role in the success of business operations?

How does management factor into the overall operational success? How critical is the role of a data scientist in this process? Finally, does fiscal responsibility play any role in the success of any business?

Data has currently become part and parcel of our everyday lives. It provides us with hidden facts and in-depth meaning through scientific experiments and developing algorithms, making use of all the available knowledge of acquired domains.

When it comes to data, there is no longer a shortage. There may even be an excess of data if you consider the traffic going through social media, real-time market feeds, transaction details, and elsewhere. The volume of data available for use in the finance sector is almost explosive. Its variety has also expanded, and even the velocity at which the data becomes accessible has sharply risen. This scenario can either take organizations to heights unknown before or leave them dumbfounded from the feeling of overwhelm caused by the data influx.

Given that organizations are in business to succeed, they have learned that the best way to utilize this flood of data is to engage data scientists. A data scientist is a guru who takes the data, explores it from all possible angles, and makes inferences that ultimately help him or her make very informed discoveries.

Here Is A Preview Of What You'll Learn...

  • Data Science Explained
  • How to Undertake Data Science
  • The Mastery of Data Science Art
  • Techniques to Apply in Data Science
  • Visualizing the Data
  • Application of Big Data in Data Science
  • How to Use Data Science Appropriately

And Much Much More**..**

Get Your Copy Right Now!

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Data Science For Business: How To Use Data Analytics and Data Mining in Business, Big Data For Business

What defines the success of a business? Is it the number of people employed by the firm? Is it the sales turnover of the business? Is it the strength of the customer base of the firm? Does employee satisfaction play a role in the success of business operations?

How does management factor into the overall operational success? How critical is the role of a data scientist in this process? Finally, does fiscal responsibility play any role in the success of any business?

Data has currently become part and parcel of our everyday lives. It provides us with hidden facts and in-depth meaning through scientific experiments and developing algorithms, making use of all the available knowledge of acquired domains.

When it comes to data, there is no longer a shortage. There may even be an excess of data if you consider the traffic going through social media, real-time market feeds, transaction details, and elsewhere. The volume of data available for use in the finance sector is almost explosive. Its variety has also expanded, and even the velocity at which the data becomes accessible has sharply risen. This scenario can either take organizations to heights unknown before or leave them dumbfounded from the feeling of overwhelm caused by the data influx.

Given that organizations are in business to succeed, they have learned that the best way to utilize this flood of data is to engage data scientists. A data scientist is a guru who takes the data, explores it from all possible angles, and makes inferences that ultimately help him or her make very informed discoveries.

Here Is A Preview Of What You'll Learn...

And Much Much More**..**

Get Your Copy Right Now!

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