Learning Objectives

Intellectual Point
Data Concepts and Environments

[15%] Understand foundational data concepts, including data types, structures, schemas, and the differences between various data environments such as relational and non-relational databases.

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Data Mining

[25%] Execute data mining techniques by identifying data sources, collecting data through methods like web scraping and surveys, and performing data cleansing and profiling to ensure data quality.

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Data Analysis

[23%] Apply basic statistical methods to analyze datasets, interpret results, and use analytical tools to derive meaningful insights that support business decision-making.

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Visualization

[23%] Create and interpret data visualizations using tools such as Tableau or Power BI, selecting appropriate chart types and formats to effectively communicate data findings.

Intellectual Point
Data Governance, Quality, and Controls

[14%] Implement data governance practices, ensuring data quality, compliance with regulations, and the establishment of controls to maintain data integrity throughout its lifecycle.

  • The CompTIA Data+ Training Course at Intellectual Point is meticulously structured to furnish you with the essential data analytics skills imperative for entry to mid-level data roles. This program prepares you for the CompTIA Data+ certification exam while providing practical instruction in data environments, aiding in effective data analysis and interpretation. You will learn to apply mathematical and statistical methods, enhance data storytelling with visualizations, and grasp data governance and quality standards. The course also emphasizes hands-on exercises that mirror real-world scenarios, ensuring you build competence that transcends theoretical knowledge.
  • Throughout the training, participants will delve into data mining, data manipulation, and use advanced tools to foster insightful data-driven decisions. You will also learn to assess data environments and apply critical data visualization techniques to interpret complex datasets successfully. By the end of the program, you'll be equipped to efficiently manage data governance frameworks and apply practical solutions to business challenges. By the end of this course, participants will:
  • 1) Understand key data concepts including data governance, quality, and lifecycle management.
  • 2) Analyze and interpret data using basic statistical methods and analytical tools.
  • 3) Translate business requirements into data-driven decisions using visualizations and reporting.
  • 4) Apply critical thinking to identify data trends and patterns that support strategic planning.
  • 5) Prepare thoroughly for the CompTIA Data+ certification exam to validate your analytics expertise.

Module by Module Learning Outline

Program Materials

Introduction to Data Analytics

Learning Objectives

  • Understand the basic concepts and importance of data analytics.
  • Explore the roles and responsibilities in a data-driven environment.

Topics Covered

  • Overview of Data Analytics: Definition and significance in modern business.
  • Key components and stages of the data lifecycle.
  • Data Analytics Roles: Different data-related job titles and their functions.
  • Strategies for transitioning into data analytics roles.

Data Environments and Management

Learning Objectives

  • Identify various data environments and their applications.
  • Learn effective data management techniques.

Topics Covered

  • Introduction to Data Environments: Types of data environments (e.g., databases, data warehouses).
  • Tools and technologies used in different environments.
  • Data Management Practices: Best practices for data collection and storage.
  • Ensuring data integrity and security.

Statistical Methods for Data Analysis

Learning Objectives

  • Apply statistical techniques for analyzing data sets.
  • Gain insights from data using statistical methods.

Topics Covered

  • Basic Statistical Concepts: Mean, median, mode, and standard deviation.
  • Introduction to probability and distribution.
  • Advanced Statistical Techniques: Hypothesis testing and regression analysis.
  • Use of statistical software tools.

Data Manipulation and Mining

Learning Objectives

  • Learn methods for manipulating and mining data.
  • Discover insights from complex data sets.

Topics Covered

  • Data Manipulation Techniques: Cleaning and transforming data for analysis.
  • Use of tools like SQL and Python for data manipulation.
  • Data Mining Processes: Identifying patterns and trends in data.
  • Leveraging machine learning for advanced data mining.

Data Visualization and Storytelling

Learning Objectives

  • Develop skills in creating impactful data visualizations.
  • Enhance data storytelling to support decision-making.

Topics Covered

  • Fundamentals of Data Visualization: Principles of effective visual communication.
  • Choosing the right visualization for your data.
  • Tools for Data Storytelling: Using software like Tableau and PowerBI.
  • Crafting narratives to convey data insights.

Certification Preparation and Practical Application

Learning Objectives

  • Prepare effectively for the CompTIA Data+ certification exam.
  • Apply learned skills to real-world business challenges.

Topics Covered

  • Exam Preparation Strategies: Understanding the exam format and key topics.
  • Practice exams and effective study techniques.
  • Hands-On Lab Exercises: Real-world data scenarios and case studies.
  • Application of analytical skills in business contexts.

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-100: CompTIA Data+ 72 $2,499.00

Books & Supplies

There are no additional charges for books or supplies.

Indirect Costs

Should a student wish to obtain the CompTIA Data+ 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-100: CompTIA Data+ CompTIA Data+ $253

Program Award

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

Class Registration

Date

Price

Location

September: 20, 2025 - Oct 12, 2025 - 8 AM - 6 PM (ET)
Schedule: Sat & Sun
$2,499.00 In-Person & Virtual Register
August: 23, 2027 - Sep 25, 2027 - 6 PM - 10 PM (ET)
Schedule: Mon - Fri
$2,499.00 In-Person & Virtual Register

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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

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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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