Associate Big Data Analyst

The ABDA™ certification establishes a strong foundation in modern data analytics. It equips you with practical skills in business analytics, data visualization, SQL, and BI tools to support decision-making and business functions. Globally recognized, ABDA™ positions you at the entry level of the world’s fastest-growing analytics profession.

ABDA™

Explore Other DASCA Certifications

Overview

The ABDA™ certification provides a globally benchmarked foundation in data analytics, preparing professionals to analyze data, build dashboards, and apply business intelligence tools. Built on vendor-neutral, cross-platform principles, ABDA™ validates your ability to work with structured data, create visualizations, and use industry-relevant platforms like spreadsheets, SQL, Python, and Tableau.

If you are pursuing or have completed a degree in Computer Science, Data Science, Economics, Statistics, Mathematics, Business, Management, Finance, Social Sciences, Computer Applications, Engineering, Applied Sciences, or related disciplines, the ABDA™ credential is your entry point into the fields of data analytics, business intelligence, and applied data science.

Go to ABDA™ Candidacy

ABDA™ Certification Program Fee

USD 750.00

(All Inclusive)

The ABDA™ certification program fee is subject to change without notice and does not cover any training fees charged by third-party providers, including training companies, universities, or institutions offering preparation for the ABDA™ exam. As a standards and credentialing body, DASCA is not involved in training delivery and has no role in setting or governing external training fees. Any additional resources from independent publishers in some markets are optional and not associated with DASCA exams or the digital exam-preparation resources provided via DataScienceSkool™.

This is a one-time fee covering the ABDA™ certification exam, access to digital exam preparation resources, and the ABDA™ credential kit (physical certificate, commemorative lapel pin, and DASCA Code of Ethics booklet), along with a digital badge. The fee also includes shipping of the credential kit. Refund requests made within 24 hours of payment are subject to a USD 80 processing fee. No refunds will be issued for cancellations made after 24 hours of registration.

Candidates may extend their exam window by paying an administrative fee of USD 100 through their myDASCA dashboard. This extension includes continued access to digital preparation resources and an additional exam attempt.

*We honor military and veterans with a special fee.

Key Program Highlights

Exam-Preparation Resources

Candidates receive structured, high-quality exam-preparation resources through DataScienceSkool™, designed to support flexible and effective self-study.
Structured Timeline

ABDA™ candidates are provided with a 6-month preparation window, with a recommended self-paced schedule of 8–10 hours per week—ideal for working professionals.
Verifiable Credentialing

Successful candidates receive a secure digital badge issued by DASCA, serving as verifiable recognition of their achievement and professional standing.
Global Credibility

ABDA™ is a vendor-neutral and cross-platform credential recognized worldwide, designed to validate real-world capabilities, not product proficiency.
End-to-End Digital Experience
From registration to exam scheduling, all processes are managed digitally via the secure myDASCA dashboard, ensuring transparency and convenience at every stage.
Remote Proctored Exam

Exams are administered online and can be taken from any secure location. Live digital proctoring ensures exam integrity and a seamless test-taking experience.

Need More Details? Download the ABDA™ Brochure

Global Network of ABDA™ Certified Professionals

I am delighted to say that I have succeeded in achieving the ABDA™ designation after the rigorous training and preparations for the exam. Of course, it was not an easy journey, but it is one of my best decisions to enroll in the program to obtain professional recognition as a big data analyst and also improve my knowledge and skills. At the time I started this program, I had the basic knowledge of ML and big data as a graduate specializing in Statistics. The scope of the study materials for ABDA™ and SBDA™ was a lot beyond that. I had to sharpen my skills and understanding in many areas related to Data Science, and it served me well in my career as a consultant in developing Banking and Finance related business solutions. I really appreciate the rich content of study materials provided for the exam preparations. Stepping from merely passing the exam, they allowed me to get hands-on experience in many practical scenarios that Data Science techniques can be applied to. Finally, I hope this will open many doors in my career, and I am looking forward to achieving the next levels in this path, like SBDA™.

Kalupahanage Dilini, ABDA™

KPMG

I have been in the world of analytics for almost a decade now, DASCA curriculum and methodology stands out as the best I have ever come across. I wish I had a DASCA certification training handbook when starting my career as a Data Analyst, I learnt data analytics the hard way since I don't have access to a comprehensive and structured material to guide my learning. I recommend DASCA certification to anyone who wants an easy walk into the space of Big Data Analytics.

Edward Olayemi, SBDA™

Team Lead, Insight and Analytics at First Bank, Nigeria

ABDA™ Candidacy

The ABDA™ certification is designed for aspiring Data Analysts at the entry to early-professional level. It focuses on developing practical skills in business analytics, data visualization, SQL, and foundational use of tools like spreadsheets, Tableau, Python, and BI platforms. ABDA™ candidates are expected to:

Demonstrate basic familiarity with business metrics, dashboards, and analysis logic.
Have beginner-level exposure to working with data using tools like SQL, Excel, or BI tools.
Show interest in using data to support business functions and decision-making.

For Associate Degree / Diploma Holders
Minimum Qualification Required
An Associate Degree or Diploma in Computer Science, Data Science, Economics, Statistics, Mathematics, Business, Management, Finance, Social Sciences, Computer Applications, Engineering, Applied Sciences, or related disciplines from a nationally or internationally accredited institution.

Minimum Work Experience
Minimum 2 years of work experience involving reporting, business analysis, or data-related tasks.
For Bachelor’s Degree Holders
Minimum Qualification Required
A Bachelor's degree in Computer Science, Data Science, Economics, Statistics, Mathematics, Business, Management, Finance, Social Sciences, Computer Applications, Engineering, Applied Sciences, or related disciplines from any nationally or internationally accredited institution.

Minimum Work Experience
Not mandatory, but candidates should have basic exposure to:
- Business analytics concepts
- Spreadsheet usage or simple dashboards (Excel, Google Sheets, or BI tools)
- Working with structured data
For Candidates from DASCA-Accredited / Recognized Institutions (ExpressTrack™)
Minimum Qualification Required
Current or past students of Bachelor's Degree programs in Data Science, Computer Science, Economics, Statistics, Mathematics, Business, Management, Finance, Social Sciences, Computer Applications, Engineering, Applied Sciences, or related fields from DASCA-Accredited/Recognized (ExpressTrack™) institutions.

Minimum Work Experience
Not mandatory, but candidates should be familiar with the use of spreadsheets, basic data visualization, or simple SQL queries.

Not sure if you're eligible?

Use the Candidacy Self-Check Tool to find out which DASCA certification best aligns with your education and professional experience.

Need expert guidance? Consult a program advisor today.

Exam-Preparation Resources

Candidates registered in the ABDA™ certification program receive structured access to digital exam-preparation resources through DataScienceSkool™. These include all required module-based study guides and reading materials, practice questions, and coding exercise environments.

Learning access is synchronized with the 180-day exam window granted to all candidates, ensuring uninterrupted preparation time. Where needed, candidates may extend this window by an additional 180 days. The extension^† includes continued access to preparation resources and an exam attempt.

To reinforce readiness and final-stage preparation, timed practice tests are available via the candidate’s myDASCA dashboard. Candidates also gain access to a full-length mock exam 24 hours before their scheduled exam, helping them prepare effectively for exam day. Together, these resources enable focused, self-paced learning aligned with the certification exam.

* Students of DASCA-accredited institutions are provided with a 365-day exam window.
† Extensions require payment of an administrative fee of USD 100. Read the policies here.

Click here to register for ABDA™

About the ABDA™ Exam

The ABDA™ certification exam is built on the DASCA Essential Knowledge Framework (DASCA-EKF™) — a globally benchmarked standard defining the foundational competencies, methodologies, and tools required of entry-level data analytics professionals.

The exam assesses readiness across nine key domains, covering business fundamentals, data manipulation and visualization, analytics tools and methods, decision-making, automation, industry-specific applications, and generative AI. Each domain reflects analysts ability to handle, interpret, and communicate insights from large scale datasets effectively.

Designed to validate both conceptual understanding and applied skills, the exam goes beyond tool-specific knowledge to evaluate an analysts ability to generate actionable insights, support decision making, and leverage automation and AI for efficiency. Weightings are calibrated to reflect the evolving responsibilities of a data analyst, from core analytics and reporting to practical applications across business and industry contexts.

The ABDA™ Exam Emphasizes:

Applied understanding of business analytics and decision making for actionable insights.
Conceptual fluency in data manipulation, SQL/Python, and analytics tools beyond platforms.
Effective use of data visualization and storytelling to communicate findings clearly.
Practical application of advanced analytics, automation, and AI across business and industry contexts.

Examination Coverage Information

Business Analytics Fundamentals
15%

Description & Practical Applications

Introduces essential business analytics concepts and how they drive organizational decision-making. Covers key analytics terminology, common business metrics (KPIs), types of analysis (descriptive, diagnostic, predictive, prescriptive), and the analytics lifecycle. Includes real-world examples of how analytics solves business problems across departments (marketing, operations, finance, etc.).

Why It Matters

Creates the foundation for understanding how data translates to business value. Analysts need to understand the "why" behind analytics work and how their analysis connects to business outcomes. This module ensures analysts can speak the language of business and understand stakeholder needs.
Data Visualization & Storytelling
20%

Description & Practical Applications

Develops skills in creating effective visualizations and communicating insights. Covers dashboard design principles, choosing appropriate chart types, visualization tools (Tableau, Power BI, Excel, Python Matplotlib), presentation techniques, and storytelling frameworks. Emphasizes making data accessible to non-technical audiences and driving action through insights.

Why It Matters

Even perfect analysis is worthless if stakeholders can't understand it. This module ensures analysts can translate complex findings into clear, compelling visuals and narratives that influence decision-makers. Visualization is often the most visible and impactful part of an analyst's work.
Data Manipulation & SQL/Python
20%

Description & Practical Applications

Focuses on hands-on data preparation using SQL and spreadsheets. Covers writing SQL/Python queries (from basic to advanced), data cleaning techniques, joining and aggregating data, working with date/time data, string manipulation, and creating derived metrics. Includes common SQL patterns for business reporting and analysis.

Why It Matters

Data rarely comes in the exact format needed for analysis. This module teaches the everyday skills analysts use to access, clean, and reshape data. SQL remains the most universal language for working with structured data across nearly all business environments.
Business Analysis Tools & Methods
15%

Description & Practical Applications

Provides practical experience with the everyday tools of business analysis. Covers advanced spreadsheet techniques (Excel/Google Sheets formulas, pivot tables, What-If analysis), reporting tools, A/B testing methodology, cohort analysis, funnel analysis, and financial analysis basics (profit margins, ROI calculations, forecasting).

Why It Matters

These are the practical analytical techniques and tools analysts use daily across industries. Analysts need a strong foundation in these universal methods before moving to more specialized or advanced approaches. These skills deliver immediate value in any business setting.
Data-Driven Decision Making
10%

Description & Practical Applications

Explores frameworks for using data to make and influence business decisions. Covers analytical problem framing, hypothesis testing for business questions, statistical significance (in practical terms), analysis planning, stakeholder management, and requirements gathering. Emphasizes critical thinking and avoiding common analytical pitfalls and biases.

Why It Matters

Successful analysts don't just provide data—they drive decisions. This module bridges technical skills with business impact by teaching analysts how to frame problems, structure analysis to answer specific questions, and present findings in ways that lead to action.
Analytics Platforms & Data Systems
10%

Description & Practical Applications

Provides a practical understanding of the data systems analysts work with. Covers data warehouses like Postgres, MySQL, business intelligence platforms, reporting systems, dashboarding tools, data catalogs, basic ETL concepts, and working with APIs. Focuses on how analysts interact with these systems rather than building them.

Why It Matters

Modern analysts need to understand where data lives, how it flows through an organization, and how to access it efficiently. This module ensures analysts can navigate enterprise data ecosystems without needing to be data engineers.
Advanced Analytics & Automation
5%

Description & Practical Applications

Introduces practical applications of advanced analytics techniques. Covers basics of predictive modeling, segmentation analysis, text analytics, automated reporting, dashboard automation, analytics scripting basics (Python for business use cases), and when to use AI-assisted analytics tools. Focuses on application rather than theory.

Why It Matters

As analysts grow, they need efficient ways to handle larger datasets and more complex analysis. This module introduces techniques that extend beyond basic reporting to provide deeper insights and save time through automation, without requiring deep statistical or programming expertise.
Industry-Specific Analytics
3%

Description & Practical Applications

Explores how analytics varies across industries with popular use cases. Covers industry-specific metrics and KPIs for sectors like retail (inventory turnover, same-store sales), marketing (CAC, LTV), finance (risk metrics, portfolio analysis), healthcare (patient metrics, operational efficiency), and others.

Why It Matters

Different industries have unique analytical challenges and metrics. This module helps analysts understand how to adapt their skills to specific business contexts and speak the language of their particular industry.
Generative AI in Data Analytics
2%

Description & Practical Applications

Introduces practical applications of generative AI for everyday data analytics tasks. Covers using AI tools to automate reporting, generate data summaries, assist with data cleaning, create synthetic data for testing. Includes prompt engineering for analytics, evaluating AI outputs, and integrating AI tools with existing analytics processes.

Why It Matters

Generative AI is transforming how analysts work by automating routine tasks and providing new capabilities. This module ensures analysts can leverage these powerful tools to increase productivity, generate new insights, and solve problems that were previously impractical to address with traditional methods.

Award of the ABDA™ Credential

Earning the ABDA™ credential is a formal recognition of a candidate’s proven skills in data analytics and their readiness to analyze, interpret, and communicate insights from large-scale datasets. Certified professionals receive an official DASCA credential kit, which includes a physical certificate, a commemorative lapel pin, and a verifiable digital badge. Together, these represent the achievement of certification and the credibility, commitment, and analytical proficiency expected of today’s data analytics professionals.

How to Showcase your Credential

*The images are for representation only.

Earning the ABDA™ – A Preview of the Certification Journey

There are six key stages in your ABDA™ certification journey. Here's a quick overview of what to expect at each step:

01
Check Your Eligibility

Before you begin your application, it’s important to confirm that you meet the minimum eligibility criteria for the ABDA™ certification. Use the candidacy self-check tool [here] to evaluate your academic and professional qualifications and ensure alignment with the program’s requirements.
02
Complete Your ABDA™ Registration

Once you’ve confirmed eligibility, you’ll create your myDASCA account to begin the application process. You'll be required to submit academic and professional background details and pay the applicable program fee. After successfully completing your application, you’ll receive access to your myDASCA dashboard.

Note:
- Use your legal name as per your official government-issued ID.
- Register with a personal email address to avoid missed communications.
03
Study and Prepare

Once registered, you’ll receive access to exam-preparation resources via DataScienceSkool™. These digital materials include structured reading content, module-wise practice questions, and a full-length mock exam to help you prepare effectively and confidently.
04
Schedule Your ABDA™ Exam

When ready, you can schedule your exam online via your myDASCA dashboard. You’ll have up to 180 days from the date of registration to complete your exam. We recommend reviewing the exam scheduling policies before locking in your date.
05
Certification Award

After passing the ABDA™ exam, your digital badge is issued immediately. Within 3–4 weeks, you’ll also receive your official ABDA™ credential kit, which includes a physical certificate, commemorative lapel pin, and a copy of the DASCA Code of Ethics.

You will also receive guidance on how to use the ABDA™ designation after your name and how to professionally showcase your credential across platforms such as LinkedIn, email signatures, and resumes. The ABDA™ designation signifies your standing as a globally credentialed data analytics professional.
06
Maintain Your Credential

To keep your ABDA™ certification valid, you must upgrade to SBDA™ at the end of your 3-year credential validity. Renewal of the ABDA™ credential is no longer available.

Your myDASCA dashboard provides visibility into your credential timeline, making it easier to track your upgrade eligibility and plan your transition. DASCA will also send reminder emails, but it remains the candidate’s responsibility to monitor their credential status and complete the upgrade process on time to ensure uninterrupted recognition.

Maintain your Credential

Advance Your ABDA™ – Upgrade to SBDA™

Your ABDA™ credential is valid for three years from the date of award. At the end of this period, ABDA™ credential holders are required to upgrade to the Senior Big Data Analyst (SBDA™) certification to continue their credentialed status with DASCA. By upgrading, you retain:

Verified Global Credibility with a DASCA-issued digital badge
Ongoing Recognition by employers, peers, and industry leaders
Access to DASCA Updates on emerging tools, frameworks, and best practices

Upgrade to SBDA™

Ready to take the next step? Start your ABDA™ certification journey today.

Frequently Asked Questions

What is Associate Big Data Analyst (ABDA™) certification by DASCA?

The ABDA™ certification by DASCA is an entry-level credential designed for students and early-career professionals seeking to build foundational skills in data analytics.

Focuses on core concepts, tools, and techniques used in the data profession.
Validates job-ready skills for roles in data analytics and related domains.
Provides a globally recognized credential to help candidates start their career in the data industry.
Prepares candidates for more advanced DASCA certifications like SBDA™

This certification is ideal for individuals aiming to enter the data field with structured, industry-relevant credentials.

Is ABDA™ worth pursuing for beginners in data analytics?

Yes. The ABDA™ (Associate Big Data Analyst) certification is widely considered a valuable starting point for beginners in data analytics because it provides a globally recognized, vendor‑neutral credential that validates foundational skills in data analysis, visualization, SQL, spreadsheets, and analytics tools. It helps you build practical abilities to interpret data and support decision‑making across industries, giving you an edge in the job market and a strong base for career growth.

What are the eligibility requirements for ABDA™ certification?

To be eligible for the ABDA™ (Associate Big Data Analyst) certification from DASCA, you must meet minimum educational criteria based on your background:

Bachelor’s degree holders from disciplines such as Computer Science, Data Science, Economics, Statistics, Mathematics, Business, or related fields are eligible. Prior work experience is not mandatory, though basic exposure to data analytics concepts is recommended.

Associate degree or diploma holders in relevant domains may apply with a minimum 2 years of work experience involving reporting, business analysis, or data-related tasks.

Students or recent graduates from DASCA-recognized academic programs may also qualify without work experience, provided you are familiar with basic analytics tools like spreadsheets, simple dashboards, or introductory SQL.

How can I upgrade from ABDA™ to SBDA™ certification?

If you hold an ABDA™ (Associate Big Data Analyst) credential and want to continue your professional credentialing, you can upgrade to the Senior Big Data Analyst (SBDA™) certification in accordance with SBDA™ eligibility requirements. ABDA™ must be upgraded before the end of its three‑year validity, as it cannot be renewed on its own.

You can apply for one of the following upgrade options through your myDASCA dashboard:

Advance Upgrade: Eligible any time starting 12 months after your ABDA™ award and at least 1 year before expiry of the 3‑year validity.
Priority Upgrade: Eligible during the third year of your ABDA™ credential, at least 2 months before its expiry.

Upgrade applications are submitted online with required declarations and documentation. Upgrade fees vary by category (e.g., approximately USD 450–480). Once approved, your SBDA™ credential will be valid for three years from the upgrade date.

What is the upgrade fee from ABDA™ to SBDA™?

The upgrade fee from ABDA™ (Associate Big Data Analyst) to SBDA™ (Senior Big Data Analyst) is:

USD 450 for the Advance Upgrade
USD 480 for the Priority Upgrade

The applicable fee depends on when you apply during your credential validity period through your myDASCA dashboard and are subject to DASCA’s policies. The upgraded SBDA™ credential remains valid for three years from the date of upgrade.

Is ABDA™ recognized globally as an entry-level data analytics certification?

Yes. The ABDA™ (Associate Big Data Analyst) certification from DASCA is a globally recognized, vendor‑neutral credential that validates foundational skills in data analytics and is respected by employers worldwide, helping beginners and students demonstrate credible competence and stand out in early‑career analytics roles.

How do I register for ABDA™ certification?

You can register for the ABDA™ (Associate Big Data Analyst) certification through DASCA’s online application process:

Create a myDASCA account using your official name and valid email address
Submit your application by providing the required academic or professional details
Confirm your registration by completing the exam fee payment
Access the myDASCA dashboard to use digital exam preparation resources and schedule your examination

The entire process is conducted online, allowing you to register, prepare, and schedule your ABDA™ exam conveniently from anywhere.

What is the cost of ABDA™ certification?

The ABDA™ (Associate Big Data Analyst) certification program fee is USD 750 (All Inclusive). This one-time fee covers the ABDA™ exam, access to digital exam preparation resources via the DataScienceSkool™ platform, and the credential kit (including a physical certificate, commemorative lapel pin, and DASCA Code of Ethics booklet), along with a digital badge. The fee also includes shipping of the credential kit.

Can I renew my ABDA™ certification?

No, the ABDA™ (Associate Big Data Analyst) certification cannot be renewed once it expires. The credential is valid for three years from the date of award. After this period, ABDA™ holders must upgrade to the SBDA™ (Senior Big Data Analyst) certification to maintain an active DASCA credential.

You can track your credential validity and initiate the upgrade process through your myDASCA dashboard. While DASCA sends reminder notifications, candidates are responsible for monitoring their credential status to ensure uninterrupted recognition.

Do I need to pay the full SBDA™ certification fee when upgrading from ABDA™?

No, you do not need to pay the full SBDA™ certification fee when upgrading from ABDA™.
When you upgrade your ABDA™ (Associate Big Data Analyst) credential to SBDA™ (Senior Big Data Analyst), you are required to pay the applicable fee depending on the upgrade timeline such as the Advance or Priority upgrade fee. These fees are lower than the standard SBDA™ certification fee and are specifically structured for credential progression from ABDA™.

You can initiate the upgrade and pay the applicable fee through your myDASCA dashboard before your ABDA™ credential expires.

Data Engineering

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> Check Your Eligibility

> Certification Process

> DASCA Examination and Policies

> Frequently Asked Questions

> Digitally Badged Credentials

Associate Big Data Analyst

ABDA™

Explore Other DASCA Certifications

ABDA™ Certification Program Fee

Key Program Highlights

Exam-Preparation Resources

Structured Timeline

Verifiable Credentialing

Global Credibility

End-to-End Digital Experience

Remote Proctored Exam

Global Network of ABDA™ Certified Professionals

Kalupahanage Dilini, ABDA™

KPMG

Edward Olayemi, SBDA™

Team Lead, Insight and Analytics at First Bank, Nigeria

ABDA™ Candidacy

Not sure if you're eligible?

Exam-Preparation Resources

About the ABDA™ Exam

Examination Coverage Information

Business Analytics Fundamentals

Description & Practical Applications

Why It Matters

Data Visualization & Storytelling

Description & Practical Applications

Why It Matters

Data Manipulation & SQL/Python

Description & Practical Applications

Why It Matters

Business Analysis Tools & Methods

Description & Practical Applications

Why It Matters

Data-Driven Decision Making

Description & Practical Applications

Why It Matters

Analytics Platforms & Data Systems

Description & Practical Applications

Why It Matters

Advanced Analytics & Automation

Description & Practical Applications

Why It Matters

Industry-Specific Analytics

Description & Practical Applications

Why It Matters

Generative AI in Data Analytics

Description & Practical Applications

Why It Matters

Award of the ABDA™ Credential

Earning the ABDA™ – A Preview of the Certification Journey

Check Your Eligibility

Complete Your ABDA™ Registration

Study and Prepare

Schedule Your ABDA™ Exam

Certification Award

Maintain Your Credential

Maintain your Credential

Advance Your ABDA™ – Upgrade to SBDA™

Ready to take the next step? Start your ABDA™ certification journey today.

Frequently Asked Questions

To Know More About

Associate Big Data Analyst (ABDA™)