Training plan
Module 1: Identifying Basic Concepts of Data Schemas
Introduction to the fundamental concepts of data schemas and their role in structuring information.
Module 2: Understanding Different Data Systems
Exploration of various data systems, such as relational and non-relational databases, and their uses.
Module 3: Understanding Types and Characteristics of Data
Study of different data types (structured, semi-structured, unstructured) and their specific characteristics.
Module 4: Comparing and Contrasting Different Data Structures, Formats, and Markup Languages
Analysis of the differences between various data structures, file formats, and markup languages like XML and JSON.
Module 5: Explaining Data Integration and Collection Methods
Overview of techniques and tools used to integrate and collect data from various sources.
Module 6: Identifying Common Reasons for Cleansing and Profiling Data
Discussion on the importance of data cleaning and profiling to ensure their quality and utility.
Module 7: Executing Different Data Manipulation Techniques
Demonstration of common techniques for manipulating data, such as transformation, aggregation, and filtering.
Module 8: Explaining Common Techniques for Data Manipulation and Optimization
Examination of methods used to optimize and manipulate data to improve their performance and utility.
Module 9: Applying Descriptive Statistical Methods
Use of descriptive statistical techniques to analyze and summarize data.
Module 10: Describing Key Analysis Techniques
Overview of data analysis techniques, such as exploratory and predictive analysis.
Module 11: Understanding the Use of Different Statistical Methods
Exploration of various statistical methods and their application in data analysis.
Module 12: Using the Appropriate Type of Visualization
Selection and use of the most appropriate visualization types to represent data clearly and effectively.
Module 13: Expressing Business Requirements in a Report Format
Translation of business requirements into clear and accurate reports.
Module 14: Designing Components for Reports and Dashboards
Creation and organization of report components and dashboards for optimal data visualization.
Module 15: Distinguishing Different Report Types
Identification and differentiation of various types of reports used in business.
Module 16: Summarizing the Importance of Data Governance
Discussion on the need for data governance to ensure data quality, security, and compliance.
Module 17: Applying Quality Control to Data
Implementation of quality control techniques to verify and maintain data accuracy and reliability.
Module 18: Explaining Master Data Management Concepts
Introduction to the principles of master data management and their importance in ensuring information consistency across the organization.
Recommended Prerequisite Knowledge
- Basic computer skills: Proficiency in using a computer and navigating different operating systems.
- Fundamental understanding of data concepts: Familiarity with basic data concepts such as databases, data types, and data formats.
- Basic math and statistics skills: Knowledge of fundamental mathematics and statistics, essential for understanding data analysis techniques.
- Experience with office productivity tools: Experience using tools like spreadsheets (e.g., Microsoft Excel), often used for data manipulation and analysis.
Credentials and certification
Exam features
- Code: DA0-001
- Title: CompTIA Data+
- Duration: 90 minutes
- Number of Questions: 90
- Questions Format: Multiple-choice, multiple-answer
- Passing Score: 675 out of 900
- Cost: $0 (included in your training)
Exam topics
The CompTIA Data+ exam will certify that the successful candidate possesses the knowledge and skills required to transform business requirements into data-driven decisions by exploring and manipulating data, applying basic statistical methods, and analyzing complex data sets while adhering to governance and quality standards throughout the data lifecycle.
Eccentrix Corner article/publication
CompTIA Data+ Certification Training (CT8743)
The CompTIA Data+ (CT8743) certification training provides IT professionals with the foundational skills needed to collect, analyze, and interpret data to make data-driven decisions. This course focuses on critical aspects of data management, visualization, and governance, ensuring participants can effectively handle data-centric roles in any organization.
Aligned with the CompTIA Data+ certification exam, this program prepares individuals to navigate the growing field of data analytics and equips them with the tools to deliver actionable insights that drive business success.
Why Choose the CompTIA Data+ Certification Training?
The CompTIA Data+ certification is a valuable credential for professionals aiming to build their expertise in data analysis. This training bridges the gap between raw data and business intelligence, teaching participants how to transform information into meaningful insights.
By earning this certification, you validate your ability to work with data efficiently and demonstrate your value to organizations looking to enhance their decision-making processes through data analytics.
Skills Developed During the Training
- Data Collection and Preparation
Learn to gather data from various sources and prepare it for analysis. - Data Visualization and Reporting
Develop skills to create clear and impactful visualizations using industry-standard tools. - Data Analysis and Interpretation
Gain expertise in analyzing datasets and deriving actionable insights. - Data Governance and Compliance
Understand the importance of data privacy, security, and compliance with regulations like GDPR. - Database Fundamentals
Build a strong foundation in database management, ensuring efficient data storage and retrieval. - Communication of Insights
Learn to present findings effectively to stakeholders, driving informed business decisions.
Hands-On Training with Certified Instructors
This training is led by experienced instructors who provide participants with practical exercises and real-world scenarios. Through hands-on labs, participants gain the confidence and expertise needed to succeed in data analytics roles and prepare for the CompTIA Data+ certification exam.
Who Should Attend?
- Entry-level IT professionals interested in data analytics
- Business analysts and data professionals seeking CompTIA Data+ certification
- Individuals transitioning to data-driven roles
- Professionals preparing for the CompTIA Data+ (DA0-001) certification exam
Unlock the Power of Data with CompTIA Data+
The CompTIA Data+ Certification Training (CT8743) equips you with the skills and knowledge to excel in data analytics roles. Enroll today to earn a globally recognized certification and become a key contributor to data-driven decision-making in your organization.
Frequently asked questions - CompTIA Data+ official training (FAQ)
What topics are covered in the Data+ training?
The course includes data collection, analysis, visualization, governance, and compliance.
Does this training prepare me for the CompTIA Data+ certification exam?
Yes, the course is aligned with the exam objectives and includes practical exercises to ensure effective preparation.
Are hands-on labs included in this training?
Yes, participants work on interactive labs and real-world scenarios to develop practical skills.
Do I need prior experience in data analysis to attend this training?
While no prior experience is required, basic IT knowledge is beneficial for this course.
How does the Data+ certification enhance my career?
The certification validates your data analytics skills, opening opportunities in business intelligence and data-focused roles.
Is this training suitable for professionals transitioning into data roles?
Yes, the course provides foundational and advanced knowledge to support a successful transition into data analytics.
