Gonzalez / Stubberfield Cracking the Data Science Interview

Unlock insider tips from industry experts to master the data science field
1. Auflage 2024
ISBN: 978-1-80512-019-3
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 404 Seiten

No detailed description available for "Cracking the Data Science Interview".

Autoren/Hrsg.

Gonzalez, Leondra R.

Stubberfield, Aaren

Weitere Mitwirkende

Baltes, Angela

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur

Inhaltsverzeichnis

Table of Contents - Exploring the Modern Data Science Landscape
- Finding a Job in Data Science
- Programming with Python
- Visualizing Data and Data Storytelling
- Querying Databases with SQL
- Scripting with Shell and Bash Commands in Linux
- Using Git for Version Control
- Mining Data with Probability and Statistics
- Understanding Feature Engineering and Preparing Data for Modeling
- Mastering Machine Learning Concepts
- Building Networks with Deep Learning
- Implementing Machine Learning Solutions with MLOps
- Mastering the Interview Rounds
- Negotiating Compensation

Über Autor(innen)

Gonzalez Leondra R.:
Leondra R. Gonzalez is a data scientist at Microsoft and Chief Data Officer for tech startup CulTRUE, with 10 years of experience in tech, entertainment, and advertising. During her academic career, she has completed educational opportunities with Google, Amazon, NBC, and AT&T.Stubberfield Aaren:
Aaren Stubberfield is a senior data scientist for Microsoft's digital advertising business and the author of three popular courses on Datacamp. He graduated with an MS in Predictive Analytics and has over 10 years of experience in various data science and analytical roles focused on finding insights for business-related questions.