CompTIA Data+ certification is an essential credential for early-career professionals in data analytics, focusing on skills necessary for effective data-driven decision-making. This certification validates an individual’s ability to collect, analyze, and interpret data, ensuring they can communicate insights clearly and persuasively.

As businesses increasingly rely on data to inform strategies and operations, the importance of CompTIA Data+ training in New York cannot be overstated. It equips candidates with foundational knowledge in data concepts, mining, analysis, visualization, and governance, making them valuable assets in various roles such as data analyst, business intelligence analyst, and marketing analyst.

The Practical Benefits of CompTIA Data+ Training

CompTIA Data+ training in New York offers numerous practical benefits that are essential for aspiring data professionals. This certification equips individuals with foundational skills in data analysis, interpretation, and visualization, enabling them to transform raw data into actionable insights.

Participants gain hands-on experience with various data analytics tools and methodologies, enhancing their ability to handle real-world data challenges. The training not only improves technical expertise but also increases employability, as organizations across diverse sectors seek skilled data analysts to drive data-driven decision-making.

– Gain foundational knowledge of data schemas, dimensions, types, and structures to effectively navigate data environments.

– Learn techniques for data acquisition, cleansing, profiling, and manipulation to extract valuable insights from datasets.

– Apply descriptive and inferential statistical methods to analyze data rigorously and derive meaningful conclusions.

– Develop skills to create impactful reports and dashboards that clearly communicate insights and support data-driven decision-making.

– Understand key concepts related to data quality control, governance, and compliance to ensure responsible data management.

– Master the ability to present data findings in a clear and persuasive manner, enhancing your role in business intelligence.

– Prepare thoroughly for the CompTIA Data+ certification exam, ensuring you meet all exam objectives and requirements.

– Validate your expertise and enhance your professional credibility with a globally recognized certification in data analytics.

– Understand data schemas, dimensions, types, structures, and file formats to build a solid foundation in data management.

– Learn techniques for data acquisition, cleansing, profiling, and manipulation to prepare datasets for analysis.

– Apply descriptive and inferential statistical methods, and learn to interpret and summarize analysis outputs effectively.

– Develop skills to create impactful reports and dashboards that communicate insights clearly and support data-driven decision-making.

– Explore concepts related to data quality control, governance, and compliance, ensuring responsible data management practices.

– Gain proficiency in manipulating data from its storage to processing environments, enhancing your analytical capabilities.

– Enhance your ability to present data findings persuasively, making you a valuable asset in any data-driven organization.

– Cover all exam objectives to ensure readiness for the CompTIA Data+ certification exam, validating your skills in data analytics. 

Data Analysts

Business Analysts

Marketing Analysts

Operations Analysts

Reporting Analysts

Clinical Analysts

Business Intelligence Analysts

Before enrolling in CompTIA Data+ training in New York, it is recommended that participants have a foundational understanding of data analytics concepts and tools. Specifically, candidates should ideally possess 18 to 24 months of experience in a report or business analyst role, which includes exposure to databases and analytical tools. Familiarity with Microsoft Excel or similar spreadsheet applications is essential, including skills in basic arithmetic, data sorting, filtering, and creating simple visualizations like charts and pivot tables.

Reason to Choose NYTCC

Choosing NYTCC (NewYork Training Center and Certifications) for CompTIA Data+ training in New York offers numerous advantages that set it apart from other training providers. Our programs are designed by industry experts who bring real-world experience and insights, ensuring that you receive relevant and practical knowledge. We emphasize hands-on learning through interactive sessions, allowing you to engage with the material actively and apply your skills in real-time scenarios.

NYTCC also provides a curriculum that covers all essential topics, including data mining, analysis, visualization, and governance, fully preparing you for the certification exam. Additionally, our training includes access to valuable resources such as study materials, practice tests, and personalized support from certified instructors.

Our CompTIA Data+ training in New York not only enhances your understanding but also boosts your confidence as you prepare for the exam. We pride ourselves on our commitment to student success, offering a satisfaction guarantee and flexible learning options, including online and in-person classes.

CompTIA Data+ Exam Format

Exam Codes

DA0-001

Launch Date

February 28, 2022

No of Questions

90

Duration

90 Minutes

Types of Questions

90

Duration

90 Minutes

Passing Score

675

Retirement

3 years after launch

Languages

English, Japanese, Thai

Testing Provider

Pearson VUE

 

CompTIA Data+ Examination Cost

The cost of the CompTIA Data+ certification exam is $253.



Domains of CompTIA Data+

Data Concepts and Environments

This domain covers the fundamental principles of data schemas, dimensions, and the differences between various data structures and file formats.

Data Mining

Focuses on data acquisition, including techniques for cleansing, profiling, and manipulating datasets to prepare them for analysis.

Data Analysis

Involves applying descriptive statistical methods and interpreting the outputs of various analyses to derive meaningful insights.

Visualization

Teaches how to effectively communicate analytical insights through the creation of visual representations such as reports and dashboards.

Data Governance, Quality, and Controls

Summarizes key concepts of data governance and applies data quality control measures to ensure the integrity and reliability of data.

 

Career Post CompTIA Data+

Earning the CompTIA Data+ training in New York and certification afterwards opens up a variety of career opportunities in the rapidly growing field of data analytics. With the increasing reliance on data-driven decision-making across industries, professionals with data analysis skills are in high demand. Potential career paths include roles such as Data Analyst, Reporting Analyst, Business Intelligence Analyst, Marketing Analyst, and Operations Analyst. These positions involve tasks such as collecting, analyzing, and interpreting data to provide actionable insights that drive business strategies.

Career Post CompTIA Data+

Earning the CompTIA Data+ training in New York and certification afterwards opens up a variety of career opportunities in the rapidly growing field of data analytics. With the increasing reliance on data-driven decision-making across industries, professionals with data analysis skills are in high demand. Potential career paths include roles such as Data Analyst, Reporting Analyst, Business Intelligence Analyst, Marketing Analyst, and Operations Analyst. These positions involve tasks such as collecting, analyzing, and interpreting data to provide actionable insights that drive business strategies.

Enroll for CompTIA Data+ Training Today

Our program is designed to equip you with essential data analytics skills, enabling you to mine, manipulate, and visualize data effectively.

With expert instructors guiding you through hands-on learning experiences, you’ll gain the confidence to tackle real-world data challenges and prepare for the CompTIA Data+ certification exam.

Enroll for CompTIA Data+ training in New York today

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