Certified Data Science Professional

Data Science Certification is based on Data Analysis, Machine Learning, and Predictive Modeling

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What Sets Our Program Apart?

  •    E-Learning Library Access
  •    Expertly crafted BOK with ready-to-implement resources
  •    Certificate valid for 5 years with 2 Exam Attempts
  •    Capstone Projects
  •    Generative AI Interview Practice Platform
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About Data Science Certification

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Objectives of Data Science Certificate

Certified data science professional certification is designed to help professionals apply their data science expertise in real-world scenarios while gaining formal recognition. Following are its major objectives:

  • Demonstrate real-world application of advanced data science techniques.
  • Strengthen professional credibility with a recognized data science certification.
  • Showcase the ability to analyze, interpret, and visualize complex datasets.
  • Validate expertise in data-driven strategy and decision-making processes.
  • Build confidence in managing end-to-end data science projects.
  • Stay current with cutting-edge tools, technologies, and methodologies.
  • Enhance career opportunities and marketability in the data science field.
  • Establish recognition as a certified data science practitioner.

Benefits of Data Scientist Certification

Earning a data science certificate from GSDC offers professionals a competitive edge in today's data-driven world. Following are some of them:

  • Earning a data science certification from GSDC offers professionals a competitive edge in today's data-driven world. Following are some benefits of it:
  • Gain global recognition through a global certification in data science that validates your technical and analytical skills.
  • Stand out in the job market with one of the best data science certifications recognized by top employers worldwide.
  • Advance into leadership roles with a specialized data science manager certification that demonstrates strategic data expertise.
  • Enhance your resume with trusted certifications for data science that prove real-world problem-solving ability.
  • Professionals gain access to sustainability best practices through e-learning modules, e-books, and personalized expert sessions.
  • Join a network of elite professionals who hold top-tier data scientist certifications across various industries.
  • Strengthen your credibility and earning potential by showcasing your commitment to professional excellence through data science certification.

Exam Syllabus For Data Science Certification

15+ Hours of Learning
2 Practice Exams
Capstone Project
AI interview Practice Platform

  • Overview of Data Science: Definition, Importance, and Applications
  • Key Concepts and Terminology in Data Science
  • The Data Science Lifecycle: Problem Definition, Data Collection, Data Preparation, Data Analysis, and Interpretation
  • Tools and Technologies in Data Science: Python, R, SQL, etc.
  • Introduction to Data Science Roles: Data Scientist, Data Analyst, Data Engineer, and their Responsibilities

  • Basic Probability Concepts: Probability Theory, Random Variables, Probability Distributions
  • Statistical Methods: Descriptive Statistics, Inferential Statistics, Hypothesis Testing
  • Correlation and Regression Analysis
  • Bayesian Statistics
  • Importance of Probability and Statistics in Data Science

  • Introduction to Big Data: Definition, Characteristics, and Challenges
  • Big Data Technologies: Hadoop, Spark, NoSQL Databases
  • Data Storage Solutions: HDFS, Cassandra, MongoDB
  • Big Data Processing Frameworks: MapReduce, Spark
  • Case Studies and Applications of Big Data

  • Data Extraction Techniques: Web Scraping, APIs, Databases
  • Data Cleaning and Preparation: Handling Missing Values, Data Transformation, Data Integration
  • Introduction to Data Visualization: Importance, Principles, and Tools
  • Visualization Techniques: Charts, Graphs, Plots, Dashboards
  • Tools for Data Visualization: Matplotlib, Seaborn, Plotly

  • Fundamentals of Data Mining: Concepts, Techniques, and Applications
  • Machine Learning Overview: Supervised, Unsupervised, and Reinforcement Learning
  • Key Algorithms: Regression, Classification, Clustering, Association
  • Model Evaluation and Validation Techniques
  • Practical Applications of Data Mining and Machine Learning

  • Advanced Statistical Methods: Multivariate Analysis, Time Series Analysis, Survival Analysis
  • Statistical Inference: Estimation, Confidence Intervals, Significance Testing
  • Experimental Design and Analysis
  • Statistical Software: R, Python (statsmodels, SciPy)
  • Real-world Applications of Statistical Methods in Data Science

  • Introduction to Text Mining: Techniques, Applications, and Challenges
  • NLP Fundamentals: Text Preprocessing, Tokenization, Stemming, Lemmatization
  • Text Classification, Sentiment Analysis, and Topic Modeling
  • Advanced NLP Techniques: Word Embeddings, Transformers, BERT, GPT
  • Tools for Text Mining and NLP: NLTK, SpaCy, Gensim

  • Introduction to Tableau: Overview and Installation
  • Connecting to Data Sources in Tableau
  • Creating Basic Visualizations: Bar Charts, Line Charts, Pie Charts
  • Advanced Visualizations: Heat Maps, Tree Maps, Scatter Plots
  • Building Interactive Dashboards and Storytelling with Data
  • Deep Dive into Tableau Features and Functionalities
  • Advanced Data Manipulation and Calculations in Tableau
  • Using Tableau for Exploratory Data Analysis
  • Integrating Tableau with Other Data Science Tools
  • Best Practices for Effective Data Visualization and Presentation

Meet our Advisor

Antonio Grasso
Antonio Grasso

Intel Software Innovator, Siemens AG Influencer

 Shameer Thaha
Shameer Thaha

CEO

Harinder Seera
Harinder Seera

CTO, Performance Test Consultant, Speaker

Enrollment Options

Resources Provided by GSDC

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Certification Programs

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Learning Resources

1-on-1 SME Connect

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Unlimited

Weekend Group SME Connect Session

Certification Exam with Free Retake & Practice Exams

Capstone Project, AI Interview Platform & AI Tools Use Cases

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Target Audience of Data Science Certificate

  IT Professionals
  Software Professionals
  ITSM Professionals
  Graduates who want to begin their career in Data Science
  Data Analysis Professionals
  Anyone who wants to gain their expertise in Data Science

Pre-Requisites for Data Science Certification

There are no particular prerequisites for this certification. Knowledge of business domains and data analysis will be beneficial.

Exam Details Of Data Science Certificate

Exam Questions

40

Exam Format

Multiple choice

Language

English

Passing Score

65%

Duration

90 min

Open Book

No

Certification Validity

5 Years

Complimentary Retake

Yes

Sample of data science certificate

Sample Data Science Certification Image

About certified data science professional

The Data science certification is a globally recognized and highly sought-after credential for aspiring and experienced data scientists. This data science certification validates a professional’s ability to analyze complex data, build predictive models, and derive actionable insights that drive business value.


Ideal for those with a strong foundation in data science, this data science professional certificate demonstrates real-world application skills across industries. It proves that the holder can effectively apply advanced techniques such as machine learning, data visualization, and statistical modeling in practical scenarios.


Achieving the certificate in data science from GSDC signifies a commitment to staying updated with the latest tools, trends, and technologies in the field. It boosts professional credibility, enhances job prospects, and enables career growth in roles like data analyst, machine learning engineer, or AI specialist.


Recognized as one of the best data science certifications, this program empowers individuals to lead data-driven transformations in their organizations.


Frequently Asked Questions

Register Your Interest by clicking on this link: Register Now

The GSDC Certified Data Science Professional certification is ideal for individuals looking to establish themselves as data science professionals, such as data analysts, data engineers, data scientists, and business analysts. It is also suitable for professionals seeking to improve their data science knowledge and skills.

The GSDC Certified Data Science Professional is one of the best certifications available for data science professionals. It is a recognized industry certification that validates a data science professional's knowledge and skills. The certification exam covers data science concepts such as data cleaning, statistical analysis, machine learning, data visualization, and data communication. The benefits of this certification include better job prospects, higher salaries, and recognition as a data science expert.

The demand for data scientist certification is growing at an accelerated rate, making the job prospects for individuals holding the GSDC Data Science Professional certification excellent. CDSP certification can help professionals in various job roles such as data analysts, data scientists, data engineers, machine learning engineers, and business analysts.

The GSDC Data Science Professional certification is crucial in the industry because it validates the knowledge and skills required for data science professionals. The certification covers topics such as statistical analysis, machine learning, data visualization, and data communication, making it an asset for professionals seeking to establish themselves as experts in the field.

The GSDC data science certification valid for 5 years.

The GSDC Data Science Certifications provide several benefits to organizations. The certification ensures that the organization has skilled and knowledgeable data science professionals who can effectively analyze and communicate data. It also enhances the organization's credibility and reputation by showcasing its commitment to data science excellence. Finally, it helps organizations attract and retain top talent in the data science field.

Yes, upon successfully completing the certification exam, you will receive a GSDC Certificate that includes 24 CPD (Continuing Professional Development) hours clearly mentioned.

Data Science Professional Certificate Program Overview & Eligibility

The GSDC data science professional certification (also known as the certified data science professional) is a globally recognized credential that validates your ability to analyze data, build predictive models, and deliver business insights. It’s formally known as the data science professional certificate in GSDC’s certification suite.

The data science certification is part of GSDC’s broader Full‑Stack Data Scientist track. To earn the Full‑Stack title, you complete three certifications, one being the data scientist certification (alongside Business Analytics Practitioner and Machine Learning Master).

The certified data science professional curriculum is ideal for IT professionals, software engineers, data analysts, business analysts, and graduates aiming for a data scientist certification role.

There are no strict prerequisites. However, familiarity with business domains or data analysis basics helps when pursuing this data science professional certification.

Yes. The data science certification and data science professional certificate are globally recognized and valued by employers in over 100 countries.

Once earned, the data science professional certificate is valid for life. There’s no requirement for renewal or additional fees.

The Full‑Stack Data Scientist Certification includes the Certified Business Analytics Practitioner, Certified Machine Learning Master, and data science professional certification combined into one end‑to‑end credential.

The data science scientist certification exam comprises 40 multiple‑choice questions, a 90‑minute duration, conducted online in English, with a 65% passing score threshold.

Yes. You receive one complimentary retake within 30 days of the first attempt, at no extra cost, as part of the data science professional certification program.

Upon completion of the data science professional certificate, you’re awarded 24 CPD (Continuing Professional Development) hours on your certificate document.

Data Science Certification Learning Experience & Resources

The data science professional certificate syllabus spans: data science lifecycle, probability & statistics, big data tools (Hadoop, Spark, NoSQL), machine learning, data visualization, and practical case studies.

Yes, case studies include handwriting recognition, recommendation engines, banking analytics, cancer classification, object detection in video, and sentiment analysis, all embedded in the data science certification journey.

Yes. The data science professional certification includes at least two practice tests and a capstone project, plus an AI interview practice platform.

Learners earn lifetime access to all data science certification content, including case studies and e‑learning modules.

You receive guided e‑learning modules, practice quizzes, downloadable eBooks, AI interview simulations, and real‑world case‑study materials as part of the data science professional certificate package.

Training covers Python, R, SQL, big data tools like Hadoop and Spark, EDA libraries (matplotlib, seaborn, plotly) critical parts of the data science certifications offered.

No. All study materials videos, interactive quizzes, PDF documents are accessible online through a browser-based portal for the data science professional certification.

Absolutely. The data science professional certification is built around industry‑driven case studies across finance, healthcare, retail, and more, ensuring real‑world relevance.

Learners can connect with expert instructors and peers; plus GSDC’s recognized frameworks guide you through the data scientist certification with clarity and confidence.

While not precisely quantified, GSDC recommends preparing with approximately 15+ hours of structured learning supplemented by case study and capstone work as part of the data science certification track.

Career Benefits For Data Science Certifications

Holding this data science professional certificate signals proficiency in data analytics, machine learning, visualization, and strategy, boosting credibility and employability in today’s data-driven world. 🔗 See learner success stories on TrustPilot

Employers view the certified data science professional designation as proof of real-world proficiency, making it one of the most respected data science certifications globally.

Graduates are well-qualified for roles including data scientist certification‑level positions, analytics engineers, machine learning engineers, business analysts, and more.

Yes. The certified data science professional credential demonstrates strategic and technical expertise, positioning you for leadership or managerial roles in data teams.

Organizations employing certified data science professionals elevate their credibility, reinforce data-driven culture, and attract top-tier talent with validated skills.

While specific numbers aren’t listed, GSDC states that their professional certification in data science is among the best-paying IT certifications in 2024, reflecting strong earning potential.

Yes. CDSP learners join a growing global network of certified data science professionals recognized across industries for advanced data skills.

Yes. The data science professional certification is regularly updated to include cutting-edge tools and methods ensuring certified professionals remain relevant.

Definitely. The CDSP certification is ideal for career changers seeking to move into data science, providing structured learning and recognized credentials toward data scientist certification.

By completing the Full‑Stack route including the data science professional certificate plus analytics and ML credentials you demonstrate mastery across the full data lifecycle, making you highly attractive to employers seeking a certified full‑stack data science professional

Why GSDC ?

The Global Skill Development Council (GSDC) is an independent, vendor-neutral, international credentialing and certification organization for the emerging technologies:

  • Advisory board members and SMEs are from around the world, drawn from different specializations.

  • Supported by the world's most esteemed thought leaders from Yale, MIT, Stanford, Wharton, and Harvard.

  • Hub of Trending Technologies and framework certifications.

  • Content curated by Industry's best Subject matter experts.

  • Webinars and Conferences.

  • Training Partners Across The Globe.

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