Data Science Essentials
New technologies and trends

The purpose of the Certification in Data Science is to show that the professional has the knowledge about the basic concepts, types, classification and characteristics of data according to its structure, understands the concepts of analysis and analytics of Big Data, business context and knows the technologies related to Big Data; also, must know the qualities and field of action of a data scientist; in order to be competent in the technological and professional world, generating value for the organization to which it belongs.

Verifiable digital credential
Online · Proctored
15 PUCs
Data Science Essentials Badge
Data Science Essentials
CertMind International
Verifiable digital badge
Category
New Technologies and Trends
Exam price
US$ 125
Validity
5 years
Continuing education
15 PUCs
Modality
Online · Proctored
Official syllabus
36%
Projected growth for data science roles
87%
Of data projects do not reach production
3 competencies
Competencies assessed in data, models, and decisions
15 PUCs
Continuing education required to renew the credential
Models and decisions

What is Data Science?

Data Science combines statistics, programming, business understanding, and communication to extract useful knowledge from data.

Its purpose is to frame questions, prepare information, explore patterns, and build models that support decisions, predictions, or automation.

Turns business questions into verifiable analysis
Uses clean data to explore patterns and relationships
Communicates findings and models in an actionable way
Data Science Flow
Question
Business problem and objective
Data
Collection, cleaning, and preparation
Exploration
Patterns, hypotheses, and visualization
Model
Prediction, classification, or explanation
Action
Decision, monitoring, and learning
Candidate profile

Who should take this certification?

Designed for professionals who work with technology or want to enhance their skills with an internationally recognized credential.

Data Analysts

Professionals working with large volumes of information and turning them into useful knowledge.

Best fit when: they prepare, explore, interpret, and communicate data for decision-making.

Technical Teams and Developers

People building solutions, integrations, or platforms related to data.

Best fit when: they need to understand pipelines, storage, processing, and analytics tools.

Business Leaders

Managers and area owners who want to use data to improve results.

Best fit when: they evaluate analytics opportunities, metrics, and use cases.

Project Managers and Consultants

Professionals coordinating data initiatives or supporting analytics transformations.

Best fit when: they translate business needs into feasible projects with clear scope and value.

Assessed content

Assessed competencies

Knowledge and capabilities supported by this certification at an international level.

Competency 01

Identify data science, the qualities and importance of a data scientist, and the professional path to follow.

Competency 02

Understand traditional Big Data technologies used by data scientists, including ETL, OLAP, OLTP, Data Warehouse, and Data Marts.

Competency 03

Understand Hadoop, its components and ecosystem, cloud services, and how to integrate Hadoop into an organization.

Credentials

Your official badge and diploma

Upon passing you receive verifiable digital credentials you can share on LinkedIn and present to employers.

Digital Badge

Verifiable digital credential compatible with Open Badges 3.0. Share it on LinkedIn, email, or your personal website.

Data Science Essentials - CertMind Badge
Open Badges 3.0 Verifiable online Permanent

Official Diploma

PDF diploma digitally signed with authentication QR code. Printable in high resolution.

CertMind Diploma
Digital signature QR Code High resolution
Path to credential

From knowledge to certification

A path designed so you arrive prepared and obtain a credential that validates your level of expertise.

1

Explore the syllabus

Download the official syllabus and understand the assessed competencies. Identify your gaps.

2

Prepare with a partner

Access our network of certified training partners with exam-aligned courses in your region.

3

Take the exam

Online exam with remote proctoring. 50 questions, from anywhere in the world.

4

Get your credential

Upon passing, you receive your verifiable digital badge and official diploma ready for LinkedIn.

How to access

Get certified through a training partner

CertMind does not teach courses — our network of certified training partners offers official preparation.

Individual exam

No prior course
USD 125
one-time payment
  • For those who already have experience
  • Online proctored exam
  • Digital badge + diploma
  • Valid for 5 years
Get a voucher
Professional impact

What certified professionals achieve

This certification validates competencies that apply to real challenges in teams and organizations.

Data turned into decisions

Certified professionals understand how data, analysis, and models support business insight.

Clearer analytical judgment

They can evaluate data work with more structure, context, and awareness of limitations.

Better collaboration with data teams

The credential creates shared language across business, analytics, and technical stakeholders.

Official material

Download the official Syllabus

The syllabus details the assessed competencies, area weights, and recommended bibliography. Available in English and Spanish.

Syllabus in English

Download Syllabus in English · PDF

Syllabus en Español

Download Syllabus in Spanish · PDF

Frequently asked questions

Everything you need to know

Why do certifications expire?

Certifications expire because frameworks, technologies, and best practices evolve constantly. Expiration ensures that certified professionals stay current with industry standards and continue developing their skills. This maintains the value and credibility of the certification in the job market.

How can I renew my certification?

You can renew your certification by accumulating Professional Update Credits (PUCs) through work experience, training courses, or professional development activities. Before your certification expires, submit your renewal application through the CertMind platform with the required PUCs documented.

What happens if my certification expires?

If your certification expires, you will need to go through the recertification process, which typically involves retaking the exam. We recommend starting your renewal process well before the expiration date to avoid any gaps in your certified status.

Can I take the exam in my native language?

Yes, CertMind offers exams in both English and Spanish. You can choose your preferred language when scheduling your exam. All study materials and syllabi are also available in both languages to support your preparation.

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Ready to get certified in
Data Science Essentials?

Demonstrate that you understand how data becomes analysis, insight, and business value. Find a training partner or download the syllabus to map your readiness.