Cracking the Data Science Interview : Unlock insider tips from industry experts to master the data science field

Cracking the Data Science Interview : Unlock insider tips from industry experts to master the data science field

Enregistré dans:

Détails bibliographiques
Auteur principal:	Gonzalez, Leondra R.. (Auteur)
Autres auteurs:	Stubberfield, Aaren. (Auteur), Baltes, Angela. (Préface)
Support:	E-Book
Langue:	Anglais
Publié:	Birmingham : Packt Publishing.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-book

Documents similaires

Cracking the Data Engineering Interview : Land your dream job with the help of resume-building tips, over 100 mock questions, and a unique portfolio
par: Bryan, Kedeisha.

Cracking the Cybersecurity Interview : Essential strategies and learn concepts
par: Gilbert, Karl.

Cracking Kotlin Interview : Solutions to Your Basic to Advanced Programming Questions
par: Saxena, Swati.

Data Science and Machine Learning Interview Questions Using R : Crack the Data Scientist and Machine Learning Engineers Interviews with Ease
par: Narayanan, Vishwanathan.

Cracking the IT architect interview : the ultimate guide to successful interviews for enterprise, business, domain, solution, and technical architect roles as well as IT advisory consultant and software designer roles
par: Paradkar, Sameer.
Publié: (2017)

Cracking Microservices Interview : Learn Advance Concepts, Patterns, Best Practices, NFRs, Frameworks, Tools and DevOps
par: Paradkar, Sameer.
Publié: (2020)

Data Science and Machine Learning Interview Questions Using Python : A Complete Question Bank to Crack Your Interview
par: Narayanan, Vishwanathan.

Cracking C Programming Interview : 500+ interview questions and explanations to sharpen your C concepts for a lucrative programming career
par: Jhamb, Tanuj Kumar.

Cracking the SAP S4HANA Interview : Get Your Dream Job Today with Intelligent Responses to the Employer
par: Malakar, Sudipta.
Publié: (2022)

Applied data science with Python and Jupyter : use powerful industry-standard tools to unlock new, actionable insights from your data
par: Galea, Alex.
Publié: (2018)

IT Interview Guide for Freshers : Crack your IT interview with confidence
par: Paradkar, Sameer.

Big Data Hadoop Interview Guide : Get answers to the most frequently asked questions in a Hadoop interview
par: Narayanan, Vishwanathan.

Password Cracking with Kali Linux : Unlock Windows Security with Kali Linux Expertise
par: Dieterle, Daniel W. (19..-....).

Capitalizing Data Science : A Guide to Unlocking the Power of Data for Your Business and Products (English Edition)
par: Sri Ramachandran, Mathangi.

Qualitative interviewing : the art of hearing data
par: Rubin, Herbert J.
Publié: (2012)

Mastering Python for data science
par: Madhavan, Samir.
Publié: (2015)

Mastering Spark for data science
par: Morgan, Andrew.
Publié: (2017)

Mastering Java for data science
par: Grigorev, Alexey.
Publié: (2017)

Beginning data science with Python and Jupyter : use powerful industry-standard tools within Jupyter and the Python ecosystem to unlock new, actionable insights from your data
par: Galea, Alex.
Publié: (2018)

Data Science with Machine Learning : Python Interview Questions
par: Narayanan, Vishwanathan.

Data science with Jupyter : master data science skills with easy-to-follow Python examples
par: Gupta, Prateek.

Julia for data science : explore the world of data science from scratch with Julia by your side
par: Joshi, Anshul.
Publié: (2016)

Hack the Cybersecurity Interview : Navigate Cybersecurity Interviews with Confidence, from Entry-level to Expert roles
par: Foulon, Christophe.

Principles and Methods for Data Science
par: Rao, Arni S. R. Srinivasa.
Publié: (2020)

Python interviews : discussions with Python experts
par: Driscoll, Mike.
Publié: (2018)

The crack-up : with other pieces and stories
par: Fitzgerald, Francis Scott, 1896-1940.
Publié: (1965)

SQL Interview Questions : A complete question bank to crack your ANN SQL interview with real-time examples
par: Kulkarni, Prasad.

R for data science
par: Dan, Toomey (19XX-...).
Publié: (2014)

Principles of data science
par: Ozdemir, Sinan.
Publié: (2016)

Data Science for Dummies
par: Pierson, Lillian.

Responsible Data Science
par: Fleming, Grant.

Python for data science
par: Mueller, John Paul (1958-....).
Publié: (2019)

Java for data science
par: Reese, Richard M..
Publié: (2017)

Scala for data science
par: Bugnion, Pascal.
Publié: (2016)

Spark for Data Science
par: Duvvuri, Srinivas.
Publié: (2016)

Clojure for data science
par: Garner, Henry.
Publié: (2015)

Practical Data Science with Python : Learn tools and techniques from hands-on examples to extract insights from data
par: George, Nathan.
Publié: (2021)

Cracks in the wall : Nadine Gordimer's fiction and the irony of Apartheid
par: Uledi-Kamanga, Brighton J.
Publié: (2002)

The Data Science Workshop : A New, Interactive Approach to Learning Data Science
par: So, Anthony.
Publié: (2020)

Streamlit for Data Science : Create interactive data apps in Python
par: Richards, Tyler.

Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1