COURSE OVERVIEW
CompTIA Data+ gives your team members the confidence to bring data analysis to life. As the importance for 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 your organization’s priorities and lead business decision-making.
CompTIA Data+ validates your team members have the skills required to facilitate data-driven business decisions, including: • Mining data • Manipulating data • Visualizing and reporting data • Applying basic statistical methods • Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle
Learners experience both knowledge acquisition and hands-on skills attainment through a single login and seamless workflow. Additionally, organizations who purchase the integrated course will be able to review student and group lab scores in the CertMaster Learn Boost Dashboard and hold students accountable for lab work. INTEGRATED LEARNING PRODUCTS CERTMASTER LEARN & CERTMASTER LABS
Student Guide Lesson Overview
Identifying Basic Concepts of Data Schemas
1
Understanding Different Data Systems
2
Understanding Types and Characteristics of Data
3
Comparing and Contrasting Different Data Structures, Formats, and Markup Languages
4
Explaining Data Integration and Collection Methods
5
6
Identifying Common Reasons for Cleansing and Profiling Data
Purchase Data+ Here
7
Executing Different Data Manipulation Techniques
8
Explaining Common Techniques for Data Manipulation and Optimization
BUY NOW
Applying Descriptive Statistical Methods
9
Describing Key Analysis Techniques
10
Understanding the Use of Different Statistical Methods
11
The tools are continually changing, and this [Data+] was a great way to keep up with tips and tricks and all the new features that can help you do your work better and faster. Asia Rios DELL “
Using the Appropriate Type of Visualization
12
Expressing Business Requirements in a Report Format
13
14
Designing Components for Reports and Dashboards
15
Distinguishing Different Report Types
16
Summarizing the Importance of Data Governance
17
Applying Quality Control to Data
18
Explaining Master Data Management Concepts
VIEW COURSE OUTLINE
Powered by FlippingBook