Language:
English
Pages:
1 online resource (1 video file (4 hr., 46 min.))
,
sound, color.
Edition:
[First edition].
DDC:
004.076
Keywords:
Computing Technology Industry Association Study guides Examinations
;
Electronic data processing Study guides Examinations
;
Electronic data processing personnel Study guides Certification
;
Examinations
;
Instructional films
;
Nonfiction films
;
Internet videos
;
Films de formation
;
Films autres que de fiction
;
Vidéos sur Internet
Abstract:
In this course we focus on preparing you for successfully sitting for the challenging CompTIA Data Plus DA0-001 exam. Data is considered the most important asset for enterprise organizations and as a data professional you will be able to provide immediate value to data driven organizations with the Data Plus certification. CompTIA Data+ is a very challenging exam and successful passing will validate that certified professionals have the skills required to facilitate data-driven business decisions and also provide immediate value to the enterprise. Data professionals must know about data mining, data manipulation, and visualizing and reporting data to stakeholders. So, whether applying basic statistical methods or analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle, a data professional is an important role to enterprises. This course will prepare you to prove your data science skills by successfully taking for the CompTIA Data Plus exam. What you'll learn and how you can apply it By the end of this course, you will: Understand the importance of the CompTIA Data Plus exam and its objectives. Learn how to collect, analyze, and report on various types of commonly used data. Learn about how to transform raw data into usable information for your stakeholders. Learn about database types, data structures, data schemes and other important aspects of data management. Understand how JSON data, HTML data, and XML data is used with data professionals. Understand how ETL and ELT processes work, how APIs connect us to the cloud and learn about profiling datasets. Learn about data manipulation techniques and important concepts around data transposition and normalization. Learn about descriptive statistics, inferential statistics, and various analytic techniques. Identify common analytics tools used in data analysis. Learn about the importance of Structured Query Language (SQL) and its main components. This course is for you because... You're a current or aspiring Data Engineer, Data Analyst, Data Architect, Database Manager or others IT professional interested in managing data. Prerequisites To get the most of this course it is recommended to have the following experience and/or resources: Basic hands-on SQL Database experience around relational database A computer with any version of Excel installed (if you don't already have it, you can sign up for a free 30-day trial).
Note:
Online resource; title from title details screen (O'Reilly, viewed February 6, 2024)
