CompTIA Data+ | DA0-001 (via e-learning)
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CompTIA is the abbreviation for Computing Technology Industry Association. CompTIA is a non-profit organization that awards professional certifications to the information technology industry. The Comp
As the importance of data analytics grows, more job roles are required to set context and better communicate vital business intelligence. Collecting, analyzing, and reporting on data can drive priorities and lead business decisionmaking.
CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. The CompTIA Data+ exam will certify the successful candidate has the knowledge and skills required to tran…
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Klassikaal bij ons, of (als maatwerk) bij jou op het bedrijf
Al meer dan 25 jaar verzorgen onze professionele trainers klassikale, virtuele en maatwerktrainingen op meerdere locaties door het hele land. Wij komen de training ook graag bij jullie op locatie verzorgen.
CompTIA is the abbreviation for Computing Technology Industry Association. CompTIA is a non-profit organization that awards professional certifications to the information technology industry. The Comp
As the importance of data analytics grows, more job roles are
required to set context and better communicate vital business
intelligence. Collecting, analyzing, and reporting on data can
drive priorities and lead business decisionmaking.
CompTIA Data+ is an early-career data analytics certification for
professionals tasked with developing and promoting data-driven
business decision-making. The CompTIA Data+ exam will certify the
successful candidate has the knowledge and skills required to
transform business requirements in support of data-driven decisions
through mining and manipulating data, applying basic statistical
methods, and analyzing complex datasets while adhering to
governance and quality standards throughout the entire data life
cycle.
Course outcomes:
understand types and characteristics of data;
compare and contrast different data structures, formats, and markup
languages;
explain data integration and collection methods;
execute different data manipulation techniques;
explain common techniques for data manipulation and
optimization;
apply descriptive statistical methods;
describe key analysis techniques;
understand the use of different statistical methods;
use the ap
Er zijn nog geen veelgestelde vragen over dit product. Als je een vraag hebt, neem dan contact op met onze klantenservice.