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CompTIA Data+ Training & Certification

CompTIA Data+ Training & Certification

$2,495.00 Per Enrollment

Price Includes:

Courseware, Exam Voucher, ‘Price & Quality Guarantee’ and 40 Hours In-Class Training

Classes Starting Soon!

CompTIA's Data+ certification is a brand new accreditation for validating individuals data analytics knowledge and skills.

CompTIA's Data+ certification is an early-career accreditation and is excellent for anyone looking to get a good grounding in data collection, analysis, and data-driven business decision-making.

TrainACE's hands-on Data+ training program will prepare you for CompTIA's Data+ certification exam.

If you are the type of person who is fascinated with deriving actionable insights from complex datasets, then our Data+ training program is for you.

Our Data+ class includes access to iLabs, provided by InfoSec Learning LLC

 

 

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    Get your CompTIA Data+ Training & Certification training in our convenient IT training centers in Maryland or Virginia.

     

     

    Why Take TrainACE's Data+ Training?

    With organizations gathering ever-growing volumes of data, the demand for IT professionals who understand how to collect, analyze and take action from complex data is outpacing available applicants. Burning Glass Technologies, a real-time job market analysis company, predicts a 15% growth rate for data analysis job roles.

    Business actions based on accurate and timely data enable organizations to fulfill their missions faster than ever before. In an increasingly competitive world, our Data+ class will equip you with critical knowledge and skills that can put you on a path to an exciting and lucrative career in data analysis.

    Using Data+ to Tell Compelling Stories

    Perhaps the most rewarding aspect of getting Data+ trained is that it will help you take all that information you work with every day and teach you how to turn your hunches into compelling stories.

    Your ability to identify valuable data, manipulate it accurately and then present it in clear and compelling formats is a powerful skill that can help you throughout your career.

    Using Data+, we'll help you build a sound foundation for your analytical skills early in your career so that, in time, you'll be at the forefront of shaping your organization's future with your data-driven decision-making.

    In preparing you for the CompTIA Data+ certification, we'll ensure you have the skills and knowledge to develop data-driven business decisions.

    In this class, we'll teach you:

    • How to mine data from a variety of source types
    • How to analyze the data you mine
    • How to turn your analysis into compelling visuals and reports
    • Basic statistical method application
    • How to adhere to data lifecycle governance and quality standards

    Who Needs CompTIA Data+ Training in Maryland?

    With analytics and data manipulation reaching into all aspects of business life, a sound understanding of data concepts suits many different roles within a modern organization.

    CompTIA Data+ certification is ideal for anyone starting in or aspiring to specific data analysis roles, e.g., Data Analyst, Data Scientist, and Business Analyst. Still, it is also appropriate for broader roles such as marketing specialists, financial analysts, and even human resource analysts or clinical health care analysts.

    So, if you use data for any business decision-making, Data+ training and certification would be a great addition to your skillset and may well open up new career opportunities.

    If you work in Washington DC, Maryland, or Virginia, this certification could be beneficial given the concentration of large government agencies and corporate headquarters. These organizations manage large volumes of data and require teams of analysts to help determine an organization's mission or efficiency.

    What Jobs Can I Get With Data Plus Certification in the Washington DC Region?

    Jobs that Use Comptia Data+ (plus)

    • Data Analyst
    • Reporting Analyst
    • Business Data Analyst
    • Business Intelligence Analyst
    • Clinical Analyst
    • Marketing Analyst
    • Operations Analyst

    What Do I Need to Know Before Taking Data+ (Plus) Training?

    CompTIA Data+ is an early career-level certification with no specific prerequisites for prospective candidates. However, we recommend that anyone wishing to take this class has 1-2 years of experience in an analytical data role.

    More specifically, candidates will do well if they have experience working with databases and data analysis tools. Candidates will also do well if they understand statistics and data visualization fundamentals.

    What are the Data+ Exam Requirements?

    Exam Eligibility

    There are no specific prerequisites for this exam, but CompTIA recommends that candidates have one and a half to two years of experience working in a reporting or business analyst type role, or equivalent. They also suggest that you have experience with databases, statistics, analytical tools, and data visualization.

    The CompTIA Data+ (Plus) Exam

    The Data+ exam consists of a mix of ninety multiple-choice and performance-based questions. The performance-based questions require you to solve a problem in a virtual IT environment.

    You have 90 minutes to answer the questions and score a minimum of 675 (out of 900) to pass the exam.

    What Skills WIll I Learn in the Data+ Training?

    TrainACE's Data+ training program will teach you the knowledge and skills required to capture, analyze, and present information in support of data-driven business decisions. You'll learn to mine and manipulate data, apply statistical methods to that data, and analyze complex datasets.

    We'll also guide you through the data lifecycle, ensuring all your analytics work applies the required data governance and quality standards.

    Specific skills you will learn include:

    Data Concepts and Environments

    This module covers 15% of the curriculum and includes:

  • Identifying basic data schemas concepts and dimensions
  • Learning the differences and similarities between different data types
  • Understanding how common data structures and file formats can differ from each other
  • Data Mining

    This module covers 25% of the curriculum and includes:

  • Learning the concepts of data acquisition
  • Understanding the need to profile and clean datasets
  • Learning techniques used to execute data manipulation
  • Demonstration of standard query optimization and data manipulation techniques
  • Data Analysis

    This module covers 23% of the curriculum and includes:

  • How descriptive statistical methods can be applied
  • Demonstrating the reasons for inferential statistical methods
  • Summarization of types of analysis and key analysis techniques
  • How to recognize common data analytics tools
  • Visualization

    This module covers 23% of the curriculum and includes:

  • Learning how to turn business requirements into a report
  • How to compile and design reports and dashboard components
  • Developing dashboards using the most appropriate techniques
  • Visualizing your data using appropriate graphics and tools
  • Understanding the differences and appropriate application of different types of reports
  • Data Governance, Quality, & Controls

    This module covers 14% of the curriculum and includes:

    • Learn the critical concepts of data governance
    • The application of critical data quality control concepts
    • Demonstration of the concept of MDM (master data management)