Data science careers, training, and hiring : a comprehensive guide to the data ecosystem: how to build a successful data science career, program, or unit /

QR Code

Data science careers, training, and hiring : a comprehensive guide to the data ecosystem: how to build a successful data science career, program, or unit /

Bibliographic Details
Format:	Book
Published:	c2019.
Online Access:	Ver documento en línea

Similar Items

Building a career in software : a comprehensive guide to success in the software industry /
Published: (2020)

Hire at will /
Published: (1995)

Call center recruiting and new-hire training : the best of call center management review /
by: Cleveland, Brad
Published: (2004)

Careers in Food Science: From Undergraduate to Professional /
Published: (2008)

Data science /
by: Kelleher, John D. 1974-
Published: (2018)

Mastering python for data science : explore the world of data science through python and learn how to make sense of data /
by: Madhavan, Samir,
Published: (2015)

Intro to Python for computer science and data science : learning to program with AI, Big Data and the Cloud /
by: Deitel, Paul J. 1969-
Published: (2020)

Occupational information; where to get it and how to use it in career education, career counseling, and career development
by: Hoppock, Robert
Published: (1976)

Listening Comprehension as a Subject for the English Career Program
by: Abrego M., Juvenal E.
Published: (2002)

Engineering skills for career success
by: Alexander, Charles K.
Published: (2014)

Data science : innovative developments in data analysis and clustering /
Published: (2017)

Data Provenance and Data Management in eScience /
Published: (2013)

Docker for data science : building scalable and extensible data infrastructure around the Jupyter notebook server /
Published: (2017)

Algorithms for data science.

Doing data science /
by: O'Neil, Cathy,
Published: (2014)

Data science for business /
by: Provost, Foster,
Published: (2013)

Data science on AWS /
by: Fregly, Chris
Published: (2021)

Data science and big data computing : frameworks and methodologies /
Published: (2016)

Career movies : American business and the success mystique /
by: Boozer, Jack 1944-
Published: (2002)

R for political data science : a practical guide /
by: Araya, Soledad
Published: (2021)

How to Recruit and Hire Great Software Engineers : Building a Crack Development Team /
by: McCuller, Patrick.
Published: (2012)

Applying data science : How to create value with artificial intelligence.

Marketing careers, marketing in other careers, and marketing your career for use with marketing principles and perspectives
by: Bearden, William O.
Published: (1995)

Health careers : a directory of career information and training forNew York State 1975-1976 / Edited by Janet Zhun Nassif
by: Nassif, Janet Zhun, ed.

Data science and big data: an environment of computational intelligence /
Published: (2017)

Introduction to data science : data analysis and prediction algorithms with R /
by: Irizarry, Rafael A.
Published: (2020)

Applied data science : Lessons learned for the data-driven business.

Beginning data science in r : data analysis, visualization, and modelling for the data scientist /
Published: (2017)

Hiring an entrepreneurial leader
by: Butler, Timothy

Career management : a guide to combating absolescence /
Published: (1975)

Astronauts for hire : The emergence of a commercial astronaut corps.

Data science for transport : a self-study guide with computer exercises /
Published: (2018)

R for data science : import, tidy, transform, visualize, and model data /
by: Wickham, Hadley,
Published: (2016)

Advances in data science : symbolic, complex and network data. Volume 4 /
Published: (2020)

Python data science handbook : essential tools for working with data /
by: VanderPlas, Jake,
Published: (2017)

Bayesian optimization and data science /
Published: (2019)

Data science and digital business /
Published: (2019)

Data science and visual computing /
Published: (2019)

Beginning data science with R /
Published: (2014)

Data science and productivity analytics /
Published: (2020)