Dodd CompTIA Data+: DAO-001 Certification Guide

Complete coverage of the new CompTIA Data+ (DAO-001) exam to help you pass on the first attempt
1. Auflage 2022
ISBN: 978-1-80461-137-1
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 370 Seiten

No detailed description available for "CompTIA Data+: DAO-001 Certification Guide".

Autoren/Hrsg.

Dodd, Cameron

Fachgebiete

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

Inhaltsverzeichnis

Table of Contents - Introduction to Data +
- Data Structures, Types, and Formats
- Collecting Data
- Cleaning and Processing Data
- Data Wrangling and Manipulation
- Types of Analysis
- Measures of Central Tendency and Dispersion
- Common Techniques in Descriptive Statistics
- Hypothesis Testing
- Introduction to Statistical Analyses
- Types of Reports
- Turning a Question into a Report
- Common Visualizations
- Data Governance
- Data Quality and Management
- Practice Exam One
- Practice Exam Two

Über Autor(innen)

Dodd Cameron:

Cameron Dodd is a data professional who specializes in instruction and writing clean, simple curriculum that can be understood without an advanced degree. He has helped thousands of people around the world find their place in the field of data analytics. Recently, he wrote and taught the CompTIA Train-The-Trainer Course for Data+, where he taught instructors how to teach the information covered in this book.