CompTIA DataSys+

The CompTIA Data+ (DA0-002) certification validates essential data analyst skills, covering the full data life cycle from acquisition and preparation to analysis, visualization, and reporting. It emphasizes translating business needs into data insights, applying key statistical methods, and maintaining data governance and quality, all with a focus on modern tools, AI concepts, and current data environments. Data+ equips professionals to confidently turn raw data into reliable, actionable business outcomes.

The Data+ certification exam will certify the successful candidate has the knowledge and skills required to:

Build a foundation in modern data concepts so you can confidently navigate analytics tools and data sources in any organisation.
Transform, clean, and organize raw data to make it reliable and useful for analysis.
Apply statistical methods to extract trends, uncover insights, and support business decisions.
Use data visualizations and dashboards to translate complex results into presentations anyone can understand.
Maintain data quality, ensure compliance, and protect sensitive information in alignment with industry standards.
Solve data problems, validate reports, and resolve analytics issues as they arise on the job.

1.0 Summarizing Database Concepts
2.0 Comparing and Contrasting Different Data Systems
3.0 Recognizing AI's Impact on Data Project
4.0 Distinguishing Markup Languages and Data Analytics Tools
5.0 Using Data Acquisition Methods
6.0 Applying Quality Control to Data
7.0 Profiling and Cleansing Data
8.0 Executing Data Manipulation Techniques
9.0 Building Queries to Model Data
10.0 Preparing for Data Analysis
11.0 Applying Descriptive Statistical Methods
12.0 Illustrating Different Statistical Methods
13.0 Summarizing Business Requirements in a Report Format
14.0 Using the Appropriate Type of Visualization
15.0 Designing Components for Reports and Dashboards
16.0 Preparing for the Delivery and Consumption of Reports
17.0 Summarizing the Importance of Data Governance
18.0 Explaining Data Management Concepts
19.0 Troubleshooting Issues and Measuring Performance

They fit around work and home life
No exams or fees (dependent on course choice and eligibility)
Available to start all year round
Completed over a set number of weeks
Online and offline study modes
A wide range of courses to choose from
Fully accredited and nationally recognised qualification
Supported by a dedicated assessor (assessors are available for support depending on which course you choose)

Level 2 Online Courses

Our FREE^* online and distance learning courses are flexible so they can fit around work and personal commitments. They take up to 12 weeks to complete and are nationally recognised Level 2 qualifications.

^* Choose a course of your choice and use our postcode checker to see if you are eligible to study the course for free.

Level 3 Online Courses

Our Level 3 online courses are ideal for those who want to start a career in a specific field. As part of the National Skills funding, this course is free to those aged 24 and over if you do not currently hold a level 3 qualification. Alternatively, you can pay in three equal monthly instalments, or you can apply for an Advanced Learner Loan https://www.gov.uk/advanced-learner-loan

Once you have submitted your application, it will be reviewed by the Distance Learning Team.

You will be assigned an assessor who will contact you to discuss your programme, answer any questions you may have about the course, and arrange suitable dates for your learning to take place.

L3 CompTIA DataSys+

Digital Skills Academy (DSA) · Online / Remote
Available throughout the year

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Postcode Eligibility

Disclaimer

The information provided about this course was accurate at the time of publication. Course details may be subject to change, often as a result of external factors such as amendments to awarding body or examination board specifications. While every effort is made to ensure that the information on this website remains accurate and up to date, prospective students are advised to confirm course details with the Admissions Team prior to enrolment to ensure the course meets their requirements. The institution accepts no responsibility for any errors or omissions in the information presented.