Learning Objectives

Intellectual Point
Database Fundamentals

[24%] Understand various database structures, including relational and non-relational models, and apply SQL for data definition, manipulation, and control. Gain proficiency in scripting methods and comprehend the impact of programming on database operations.

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Database Deployment

[16%] Plan and implement database solutions by selecting appropriate deployment models, configuring storage solutions, and ensuring proper integration with applications. Address considerations for scalability, performance, and security during deployment.

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Database Management and Maintenance

[25%] Perform routine database maintenance tasks, including monitoring performance, managing storage, and implementing backup and recovery procedures. Ensure data integrity and availability through effective management practices.

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Data and Database Security

[23%] Implement security measures to protect data and databases from threats. This includes configuring access controls, encryption, and auditing, as well as understanding common attack vectors and mitigation strategies.

Intellectual Point
Business Continuity

[12%] Develop and maintain strategies to ensure data availability and recoverability in the event of disruptions. This encompasses disaster recovery planning, backup solutions, and adherence to business continuity best practices.

  • The CompTIA DataSys+ Training Course at Intellectual Point equips learners with the essential skills and knowledge necessary to excel in the rapidly evolving world of data management and analytics. This comprehensive course prepares you for the CompTIA DataSys+ certification exam, focusing on the practical application of data processing, visualization, and governance in various business contexts. You'll dive into real-world scenarios where you can manage and analyze vast data sets, ensuring you can effectively glean insights that drive strategic decisions. Whether you’re new to data systems or seeking to enhance your current skill set, this course provides the foundational knowledge you need to thrive.
  • Throughout the training, you will explore data collection and integration processes, data lifecycle management, and fundamental data analytics techniques. The course features practical labs and exercises that empower you to apply data modeling, data visualization, and reporting skills using industry-standard tools and software. By the end of the program, you will be prepared to tackle the certification exam and apply data insights to optimize business operations. By the end of this course, participants will:
  • 1) Master data collection methods and effectively integrate multiple data sources.
  • 2) Develop competencies in data management and lifecycle practices for strategic insights.
  • 3) Build proficiency in creating compelling data visualizations and analytical reports.
  • 4) Understand and apply data governance protocols ensuring data security and compliance.
  • 5) Achieve a comprehensive understanding of data systems to pass the CompTIA DataSys+ certification.

Module by Module Learning Outline

Program Materials

Introduction to Data Management and Analytics

Learning Objectives

  • Understand the foundational concepts of data management and analytics.
  • Learn about the role of data in strategic decision-making.

Topics Covered

  • Data Management Fundamentals: Key components of data management systems.
  • The importance of data quality and integrity.
  • Analytics Overview: Types of data analytics: descriptive, predictive, and prescriptive.
  • The impact of analytics on business performance.

Data Collection and Integration

Learning Objectives

  • Master data collection methods and techniques for integrating multiple data sources.
  • Explore tools and techniques for data integration.

Topics Covered

  • Data Collection Techniques: Methods for collecting data from various sources.
  • Challenges and solutions in data collection.
  • Data Integration Tools and Techniques: Overview of ETL processes.
  • Tools for data integration and transformation.

Data Lifecycle Management

Learning Objectives

  • Understand the data lifecycle and its stages.
  • Implement effective data lifecycle management practices.

Topics Covered

  • The Data Lifecycle: Stages of the data lifecycle: creation, storage, usage, and disposal.
  • Importance of each stage in effective data management.
  • Data Lifecycle Management Practices: Strategies for optimizing each stage of the data lifecycle.
  • Tools for managing data lifecycles effectively.

Data Modeling and Visualization

Learning Objectives

  • Develop skills in data modeling to structure data for analysis.
  • Create compelling data visualizations to communicate insights.

Topics Covered

  • Data Modeling Techniques: Creating logical and physical data models.
  • Utilizing industry-standard data modeling tools.
  • Data Visualization: Principles of effective data visualization design.
  • Tools and techniques for creating visual data representations.

Data Governance and Compliance

Learning Objectives

  • Understand data governance protocols and compliance requirements.
  • Implement strategies to ensure data security and regulatory compliance.

Topics Covered

  • Data Governance Frameworks: Components and benefits of data governance.
  • Establishing roles and responsibilities for data management.
  • Compliance and Regulation: Overview of major data protection laws and standards.
  • Implementing compliance strategies in data management practices.

Preparation for CompTIA DataSys+ Certification Exam

Learning Objectives

  • Gain familiarity with the CompTIA DataSys+ certification exam structure and content.
  • Review key concepts and practice exam techniques.

Topics Covered

  • Exam Content Overview: Breakdown of exam objectives and key topics.
  • Tips for effective study and exam preparation.
  • Practice Exam Questions and Strategies: Sample questions and analysis of question types.
  • Time management and test-taking strategies.

Tuition & Hours

Tuition is charged by course. The cost of the certification exam is not included in the tuition and is a separate cost based on the current rates as set by the vendor.

Course Total Hours Tuition
DATA-101: CompTIA DataSys+ 72 $4,499.00

Books & Supplies

There are no additional charges for books or supplies.

Indirect Costs

Should a student wish to obtain the CompTIA DataSys+ certification exam, the cost is an additional fee not covered in tuition. While encouraged, the exam is not a required expense to be paid at the time of enrollment. To obtain a voucher for the certification exam, you will need to purchase it separately.

Course Exam Exam Fee
DATA-101: CompTIA DataSys+ CompTIA DataSys+ $369

Program Award

Upon successful completion of the course, the student will receive a Certificate of Completion for CompTIA DataSys+ Training.

* Exam fees are quoted based on time of publication. Voucher prices may change based on vendor rates and are updated accordingly. Please contact Intellectual Point to verify exam fee charges.

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A CompTIA Data+ Course at Intellectual Point Includes:
  • Live, Instructor-led training in modern classrooms

  • A thorough review of all Data+ topics by industry experts

  • Hands-on labs on real tools and simulations (Mining, Analysis, Visualization)

  • 24 x 7 Access to the real labs in classrooms and remotely

  • 100% latest material & and thousands of realistic practice questions

  • Confidence building hands-on training

  • Authorized Pearson VUE testing at the same location to help you complete your exam*

  • Study material, notes, videos, and practice questions included in the course price

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