BU Library and Learning Space

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Data science & big data analytics : discovering, analyzing, visualizing and presenting data / EMC Education Services by
Material type: Text Text; Format: print ; Literary form: Not fiction ; Audience: Specialized;
Copyright date: Indianapolis, Ind. : Wiley, ©2015
Other title:
  • Data science and big data analytics : discovering, analyzing, visualizing and presenting data
Availability: Items available for loan: BU Library and Learning Space (1)Call number: QA76.9.D343 D372 2015.

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Big data management : data governance principles for big data analytics / Peter Ghavami by
Material type: Text Text; Literary form: Not fiction ; Audience: Specialized;
Copyright date: Berlin : Walter de Gruyter GmbH, ©2021
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Availability: No items available.

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Big data, open data and data development / Jean-Louis Monino, Soraya Sedkaoui. by Series: Smart innovation set ; volume 3
Material type: Text Text; Format: print ; Audience: Specialized;
Publisher: London : Wiley 2016
Availability: Items available for loan: BU Library and Learning Space (1)Call number: QA76.9 .D32 M664B 2016.

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Data science for business / Foster Provost and Tom Fawcett. by
Material type: Text Text; Format: print ; Literary form: Not fiction ; Audience: Specialized;
Publication details: Beijing : O'Reilly, 2013
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  • Data science for business : what you need to know about data mining and data-analytic thinking
Availability: Not available: Checked out (1).

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Big data analytics : a handy reference guide for data analysts and data scientists to help obtain value from big data analytics using Spark on Hadoop clusters / Venkat Ankam by
Material type: Text Text; Format: print ; Literary form: Not fiction
Publisher: Birmingham : Packt Publishing, 2016
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Data science and data analytics : opportunities and challenges / edited by Amit Kumar Tyagi by
Edition: First edition.
Material type: Text Text; Literary form: Not fiction ; Audience: Specialized;
Publisher: Boca Raton, Fl. : CRC Press, 2022
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Big data for business : the complete guide to understand data science, data analytics and data mining to boost more growth and improve business / Victor Finch. by
Edition: First edition
Material type: Text Text; Format: print ; Literary form: Not fiction ; Audience: Specialized;
Other title:
  • [place of publication not identied] Auva Press
Availability: Items available for loan: BU Library and Learning Space (1)Call number: QA76.9.B45 F562B 2017.

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Humanizing big data : marketing at the meeting of data, social science and consumer insight / Colin Strong. by
Material type: Text Text; Format: print ; Literary form: Not fiction ; Audience: Specialized;
Publisher: London : KoganPage, 2015
Availability: Not available: Checked out (1).

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R for data science : import, tidy, transform, visualize, and model data / Hadley Wickham and Garrett Grolemund by
Edition: First edition
Material type: Text Text; Format: print ; Literary form: Not fiction ; Audience: Specialized;
Publication details: Beijing : O'Reilly, ©2017
Availability: Not available: Checked out (1).

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Big data : using smart big data, analytics and metrics to make better decisions and improve performance / Bernard Marr. by
Material type: Text Text; Format: print ; Literary form: Not fiction ; Audience: Specialized;
Publisher: Chichester : Wiley, 2015
Availability: Not available: Checked out (1).

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Big data analytics with R and Hadoop : set up an integrated infrastructure of R and Hadoop to turn your data analytics into big data analysis / Vignesh Prajapati. by Series: Open source. Community experience distilled
Material type: Text Text; Format: print ; Literary form: Not fiction ; Audience: Specialized;
Publication details: Birmingham : Packt Publishing, 2013
Availability: Items available for loan: BU Library and Learning Space (1)Call number: QA276.45.R3 P724B.

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AI in marketing, sales and service : how marketers without a data science degree can use AI, big data and bots / Peter Gentsch by
Material type: Text Text; Format: print ; Literary form: Not fiction ; Audience: Specialized;
Copyright date: Switzerland : Palgrave Macmillan, ©2019
Availability: Items available for loan: BU Library and Learning Space (1)Call number: HF5415.125 G467A 2019.

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Big data science in finance / by Irene Aldridge, Marco Avellaneda. by
Material type: Text Text; Literary form: Not fiction ; Audience: Specialized;
Publisher: Hoboken, New Jersey : John Wiley & Sons, Inc., ©2021
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Availability: No items available.

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Big data for twenty-first-century economic statistics / edited by Katharine G. Abraham, Ron S. Jarmin, Brian C. Moyer, and Matthew D. Shapiro. by Series:
Material type: Text Text; Format: available online remote; Literary form: Not fiction ; Audience: Specialized;
Publication details: Chicago, Ill. : University of Chicago Press, ©2022
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Availability: No items available.

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Blockchain for big data : AI, IoT and Cloud perspectives / Shaoliang Peng. by
Material type: Text Text; Literary form: Not fiction ; Audience: Specialized;
Publisher: Boca Raton, Fla. : CRC Press, 2022
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Availability: No items available.

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Practical statistics for data scientists : 50 essential concepts / Peter Bruce and Andrew Bruce by
Edition: First edition, Third release
Material type: Text Text; Format: print ; Literary form: Not fiction ; Audience: Specialized;
Copyright date: Beijing : O'Reilly, [2018]
Availability: Items available for loan: BU Library and Learning Space (1)Call number: QA276.4 B782P 2018.

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Data Science / John D. Kelleher and Brendan Tiernney. by Series: MIT Press Essential Knowledge series
Material type: Text Text; Format: print ; Literary form: Not fiction ; Audience: Specialized;
Copyright date: Cambridge, Massachusetts : The MIT Press, ©2018
Availability: Not available: Checked out (1).

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Big data analytics for Internet of things / edited by Tausifa Jan Saleem, Mohammad Ahsan Chishti. by
Material type: Text Text; Literary form: Not fiction ; Audience: Specialized;
Publisher: Hoboken, N.J. : John Wiley & Sons, Inc., 2021
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Creating value with big data analytics : making smarter marketing decisions / Peter Verhoef, Edwin Kooge and Natasha Walk. by
Material type: Text Text; Format: print ; Literary form: Not fiction ; Audience: Specialized;
Publisher: London : Routledge, 2016
Availability: Items available for loan: BU Library and Learning Space (1)Call number: HF5415.32 V473C 2016.

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Big data and social media analytics : trending applications / Mehmet Cakirtas, Mehmet Kemal Ozdemir, editors. by Series: Lecture notes in social networks
Material type: Text Text; Literary form: Not fiction ; Audience: Specialized;
Copyright date: Cham, Switzerland : Springer, ©2021
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Availability: No items available.

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