CompTIA Data+ Intro
CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. Data+ is an ideal certification for not only data-specific careers but other career paths outside of IT can also benefit from analytics processes and data analytics knowledge.
VALUE Prop 1 (Career Changer/Student)
Data+ ensures professionals have the confidence to bring data analysis to life. Data+ arms candidates with foundational, tool-agnostic data skills that help organizations listen and make critical business decisions.
Candidates who can effectively analyze data and validate those skills with an industry-recognized certification could be considered an invaluable asset to any team.
VALUE Prop 2 (Employer)
CompTIA Data+ validates candidates have the knowledge and skills to effectively mine data, confidently interpret insights, and analyze complex datasets while adhering to governance
and quality standards that drive business priorities and promote data-driven business decision making.
Key Differentiators:
Mine data more effectively. Analyze with rigor. Avoid confounding results.
Highlight what’s important. Produce reports that persuade, not confuse. Make informed data-driven decisions.
Proof of data literacy means employability and more upward mobility
Develop teams that have the right talent and training to make the best use of company data.
What include in Data+ E-Learning Bundle (Exam DA0-001) ?
What is CertMaster Learn integrated with CertMaster Labs?
CertMaster Learn is a comprehensive eLearning experience that helps learners gain the knowledge and practical skills necessary to be successful on CompTIA certification exams, and in their career. A Learning Plan helps learners stay on track with your studies, while robust analytics bring awareness of strengths and weaknesses.
CertMaster Labs make it easy for learners to practice and apply their skills in real workplace scenarios in preparation for the certification exam. All lab activities use real equipment and software, offer feedback and hints, and provide a score based on learner inputs, ultimately guiding learners to the most correct and efficient path through job tasks.
In the integrated experience, CertMaster Labs are integrated as Study Tasks within the CertMaster Learn Learning Plan, accessible through a single login and seamless workflow. Easy-to-use course management tools provide a comprehensive suite of instructor resources alongside a reporting dashboard, making course preparation and progress tracking simple and efficient.
Topics Covered
Lesson 1: Identifying Basic Concepts of Data Schemas
Lesson 2: Understanding Different Data Systems
Lesson 3: Understanding Types and Characteristics of Data
Lesson 4: Comparing and Contrasting Different Data Structures, Formats, and Markup Languages
Lesson 5: Explaining Data Integration and Collection Methods
Lesson 6: Identifying Common Reasons for Cleansing and Profiling Data
Lesson 7: Executing Different Data Manipulation Techniques
Lesson 8: Explaining Common Techniques for Data Manipulation and Optimization
Lesson 9: Applying Descriptive Statistical Methods
Lesson 10: Describing Key Analysis Techniques
Lesson 11: Understanding the Use of Different Statistical Methods
Lesson 12: Using the Appropriate Type of Visualization
Lesson 13: Expressing Business Requirements in a Report Format
Lesson 14: Designing Components for Reports and Dashboards
Lesson 15: Distinguishing Different Report Types
Lesson 16: Summarizing the Importance of Data Governance
Lesson 17: Applying Quality Control to Data
Lesson 18: Explaining Master Data Management Concepts
Labs Available:
Assisted Lab: Navigating and Understanding Database Design
Assisted Lab: Understanding Data Types and Conversion
Assisted Lab: Working with Different File Formats
APPLIED LAB: Understanding Data Structure and Types and Using Basic Statements
Assisted Lab: Using Public Data
Assisted Lab: Profiling Data Sets
Assisted Lab: Addressing Redundant and Duplicated Data
Assisted Lab: Addressing Missing Values
APPLIED LAB: Preparing Data for Use
Assisted Lab: Recoding Data
Assisted Lab: Working with Queries and Join Types
APPLIED LAB: Building Queries and Transforming Data
Assisted Lab: Using the Measures of Central Tendency
Assisted Lab: Using the Measures of Variability
APPLIED LAB: Analyzing Data
Assisted Lab: Building Basic Visuals to Make Visual Impact
Assisted Lab: Building Maps with Geographical Data
Assisted Lab: Using Visuals to Tell a Story
Assisted Lab: Filtering Data
Assisted Lab: Designing Elements for Dashboards
Assisted Lab: Building an Ad Hoc Report
APPLIED LAB: Visualizing Data
Assisted Lab: De-Identifying Records
Extensive learning content, videos, flashcards, games, and more covering all exam objectives.
Interactive scenario-based questions to prep you for the exam experience.
Enroll Now!
Your dedicated Course Consultant will send you the details of the course.
Email : bonnie@aitcareers.com