Learning Objectives

Intellectual Point
Mathematics and Statistics

[17%] Apply statistical methods, probability theory, linear algebra, and calculus concepts to support data science tasks and model development.

Intellectual Point
Modeling, Analysis, and Outcomes

[24%] Utilize exploratory data analysis, feature engineering, model evaluation, and effective communication to derive and present actionable insights.

Intellectual Point
Machine Learning

[24%] Implement supervised and unsupervised learning techniques, including deep learning architectures, to build predictive models and interpret their results.

Intellectual Point
Operations and Processes

[22%] Manage data science workflows, including data acquisition, cleaning, storage, and deployment, while adhering to best practices and regulatory requirements.

Intellectual Point
Specialized Applications of Data Science

[13%] Apply data science methodologies to specialized domains such as optimization, natural language processing, computer vision, and emerging technologies.

  • Intellectual Point’s CompTIA DataX training program is meticulously crafted to equip you with essential data management skills and prepare you for the CompTIA DataX certification exam. This course offers hands-on experience in managing, analyzing, and protecting data within various organizational contexts, providing a comprehensive understanding of data structures, analytics, and security protocols. Through a combination of interactive labs and theoretical instruction, you'll develop a robust capacity to address real-world data challenges. Suitable for both beginners and those with some prior knowledge, the course ensures you are thoroughly prepared to assume data-centric roles in today's technology-driven landscape.
  • Throughout the training, you will delve into data organization, data quality improvement methods, data lifecycle management, and applications in data security. The course incorporates practical exercises aimed at honing your skills in data analysis, modeling, and insight derivation, empowering you to make informed decisions based on data-driven evidence. By the conclusion of the program, you'll be prepared to pass the DataX certification with confidence. By the end of this course, participants will:
  • 1) Develop a solid understanding of data analytics fundamentals and their application in IT environments.
  • 2) Identify and analyze the key concepts of data management, visualization, and reporting.
  • 3) Enhance your analytical capabilities using CompTIA DataX-aligned tools and techniques.
  • 4) Prepare comprehensively for the CompTIA DataX certification exam with hands-on exercises and real-world examples.
  • 5) Implement data-driven practices to improve business decision-making and operational efficiency in your organization.

Module by Module Learning Outline

Program Materials

Introduction to Data Management and Analysis

Learning Objectives

  • Understand key concepts in data management and analysis.
  • Familiarize with data structures and their applications.

Topics Covered

  • Fundamentals of Data Management: Overview of data management roles and responsibilities.
  • Importance of data integrity and structure in decision-making.
  • Data Analysis Basics: Introduction to data analysis processes and techniques.
  • Tools and technologies used in data analysis.

Data Organization and Quality Improvement

Learning Objectives

  • Explore techniques for organizing data effectively.
  • Learn methods for enhancing data quality.

Topics Covered

  • Data Organization Strategies: Techniques for effective data categorization and storage.
  • Benefits of structured vs. unstructured data organization.
  • Improving Data Quality: Methods for data cleaning and validation.
  • Ensuring accuracy, consistency, and completeness in data sets.

Data Lifecycle Management

Learning Objectives

  • Comprehend the stages of the data lifecycle.
  • Manage data throughout its lifecycle effectively.

Topics Covered

  • Understanding Data Lifecycle: Overview of data creation, processing, and archiving.
  • Strategies for data retention and deletion management.
  • Managing Data Transitions: Techniques for seamless data migration and integration.
  • Addressing challenges in data lifecycle transitions.

Data Security and Protection Protocols

Learning Objectives

  • Understand key data security practices and protocols.
  • Implement strategies for safeguarding organizational data.

Topics Covered

  • Data Security Fundamentals: Overview of data security threats and vulnerabilities.
  • Best practices in ensuring data confidentiality and privacy.
  • Implementing Data Protection Protocols: Tools and technologies for data encryption and protection.
  • Developing data breach response and recovery plans.

Advanced Data Analysis and Modeling

Learning Objectives

  • Apply advanced data analysis and modeling techniques.
  • Derive actionable insights from data.

Topics Covered

  • Advanced Data Analysis Techniques: In-depth exploration of predictive and prescriptive analytics.
  • Using data mining and machine learning tools for analysis.
  • Data Modeling for Insight Derivation: Building effective data models for business intelligence.
  • Visualization techniques to communicate data insights.

Certification Preparation and Practical Applications

Learning Objectives

  • Prepare for the CompTIA DataX certification exam.
  • Apply learned skills in real-world scenarios.

Topics Covered

  • Certification Exam Strategies: Overview of exam objectives and key focus areas.
  • Tips and techniques for successful exam preparation.
  • Hands-On Lab: Real-World Case Studies: Practical exercises in data analysis and management.
  • Applying theoretical knowledge to solve business challenges.

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-302: CompTIA DataX 72 $4,999.00

Books & Supplies

There are no additional charges for books or supplies.

Indirect Costs

Should a student wish to obtain the CompTIA DataX 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-302: CompTIA DataX CompTIA DataX $509

Program Award

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

Register For Class

No courses available at this time

Download Course PDF

Private Team Training

Enrolling at least 3 people in this course? Consider bringing this (or any course that can be custom designed) to your preferred location as a private team training

For details, call 703-554-3827

Class

Come Learn With Intellectual Point

Price Match Guarantee!

We will match Competitor’s Price Quote.
Call for more details 703-554-3827

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

happy clients

What Our Customers Say - Based on over 600+ Reviews!

Our Top Customers
Training and Testing Partners