Description
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 outcome:
– 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 appropriate type of visualization
– Express business requirements in a report format
– Apply quality control to data
– Explain master data management concepts
– Identify common data analytics tools
Prerequisites:
Before attending this course, you should have:
– 18–24 months of hands-on experience working in a business intelligence, report/data analyst job role.
– Working knowledge of Microsoft Excel or a spreadsheet program, including basic math calculations, like add, subtract, divide, and multiply, and how to build basic functions like Sums, Average, and Count.
– Understand the basics of sorting and filtering data sets, and how to build very basic pivot tables.
– Have some understanding of databases.
– Have a basic understanding of how to build simple charts in using data.
Audience:
Analytics professionals responsible for collecting and analyzing data in order to provide an accurate picture of business operations or performance for a company. The analyst may specialize in a core business function such as marketing and sales, finance and accounting, HR, or operations or may be aspiring to a more general data analyst role. Roles for which this course would be ideal are: Data Analysts, Report Analysts, Business Intelligence Analysts, Market Research Analysts or Operations Analysts.
Package Includes:
– 12 Months Online Access featuring ondemand instructor-led classroom sessions with full audio and video lectures
– Measure Exam simulation
– Tips & Tricks
Hybrid Learning is een unieke mix van trainingsmateriaal, video’s en oefeningen die de gebruiker zelfstandig kan toepassen op zijn leervraag. U heeft tot 12 maanden lang toegang tot het online trainingsmateriaal. Zo kunt u de geleerde stof meerdere malen doorlezen en oefenen om u optimaal voor te bereiden voor het examen CompTIA Data+.
Inhoud:
– Assessing & Managing Risk
– Virtualization Security
– Secure Cloud Computing
– Cryptography & PKI
– Storage & Network Security
– Authentication & Authorization
– IT Governance & Security Compliance
– Mobile & Embedded Devices
– Industrial Computing Environments
– Emerging Technologies & SecDevOps
– Monitoring & Incident Response
– Vulnerabilities & Hardening
– Digital Forensics
– Business Continuity
Exclusief examen:
DA0-001 | CompTIA Data+
DutchTrain is een officieel geaccrediteerd Test Center voor Pearson Vue Test, Prometric, Kryterion, Castle Worldwide, Certiport & PSI. U bent bij ons van harte welkom voor examens welke via deze Test Centers beschikbaar zijn. Examens kunnen elke dag, binnen kantooruren, worden afgenomen.
Datum:
U kunt ten alle tijden beginnen! Neem hiervoor contact op met een van onze opleidingsadviseurs.
Locaties: Zelfstudie
Leermethodiek: E-Learning
Taal: Engels
Deze training is ook beschikbaar als:
– Klassikaal
– Maatwerktraining, neem hiervoor contact op met een van onze opleidingsadviseurs.
Voor veelgestelde vragen tijdens het bestelproces, bekijk onze F.A.Q. pagina.
