PROFESSIONAL CERTIFICATION
Certified Professional
Data Scientist CPDS
TM
Showcase your mastery in machine learning, deep learning, and advanced analytics with a credential designed for experienced data professionals and AI leaders.
Requirements
Mathematics, Python Programming, Statistics, Data Analytics
Exams
Test of Knowledge: 120 mins Practical Application: 180 mins
Fee
Euro 600
PROFESSIONAL CERTIFICATION
Certified Professional
Data Scientist CPDS
TM
Showcase your mastery in machine learning, deep learning, and advanced analytics with a credential designed for experienced data professionals and AI leaders.
Requirements
Mathematics, Python Programming, Statistics, Data Analytics
Exams
Test of Knowledge: 120 mins Practical Application: 180 mins
Fee
Euro 600
PROFESSIONAL CERTIFICATION
Certified Professional
Data Scientist CPDS
TM
Showcase your mastery in machine learning, deep learning, and advanced analytics with a credential designed for experienced data professionals and AI leaders.
Requirements
Mathematics, Python Programming, Statistics, Data Analytics
Exams
Test of Knowledge: 120 mins Practical Application: 180 mins
Fee
Euro 600
PROFESSIONAL CERTIFICATION
Certified Professional
Data Scientist CPDS
TM
Showcase your mastery in machine learning, deep learning, and advanced analytics with a credential designed for experienced data professionals and AI leaders.
Requirements
Mathematics, Python Programming, Statistics, Data Analytics
Exams
Test of Knowledge: 120 mins Practical Application: 180 mins
Fee
Euro 600
ORGANISATIONS WHERE OUR GRAUDUATES AND STUDENTS WORK
ORGANISATIONS WHERE OUR GRAUDUATES AND STUDENTS WORK
ORGANISATIONS WHERE OUR GRAUDUATES AND STUDENTS WORK
ORGANISATIONS WHERE OUR GRAUDUATES AND STUDENTS WORK
Overview
Overview
The Certified Professional Data Scientist certification is developed by leading industry experts to validate advanced, up-to-date skills and knowledge in data science.
The Certified Professional Data Scientist certification is developed by leading industry experts to validate advanced, up-to-date skills and knowledge in data science.
Professionals holding this credential work across diverse sectors and domains for major global employers, governments, and international agencies, demonstrating their mastery of industry-relevant techniques and practices.
Professionals holding this credential work across diverse sectors and domains for major global employers, governments, and international agencies, demonstrating their mastery of industry-relevant techniques and practices.
Mathematics & Statistics
Programming & Data Management
Modelling & Machine Learning
Domain Knowledge & Communication
Data Scientist Skills
TOP INDUSTRY TOOLS WE UTILISE
Python
Anaconda
Jupyter Notebook
NumPy
Pandas
Matplotlib
Plotly
Shiny
SciPy
Scikit-Learn
Seaborn
TOP INDUSTRY TOOLS WE UTILISE
Python
Anaconda
Jupyter Notebook
NumPy
Pandas
Matplotlib
Plotly
Shiny
SciPy
Scikit-Learn
Seaborn
TOP INDUSTRY TOOLS WE UTILISE
Python
Anaconda
Jupyter Notebook
NumPy
Pandas
Matplotlib
Plotly
Shiny
SciPy
Scikit-Learn
Seaborn
TOP INDUSTRY TOOLS WE UTILISE
Python
Anaconda
Jupyter Notebook
NumPy
Pandas
Matplotlib
Plotly
Shiny
SciPy
Scikit-Learn
Seaborn
Knowledge and Skills
Knowledge and Skills
Knowledge and Skills
Data Scientist Foundation
Data Scientist Foundation
Data Scientist Foundation
Establishes core Python proficiency, data cleaning methodologies, introductory statistics and predictive modeling. You will apply essential python packages and functions and fundamental visualization techniques in preparation for more advanced analyses.
Establishes core Python proficiency, data cleaning methodologies, introductory statistics and predictive modeling. You will apply essential python packages and functions and fundamental visualization techniques in preparation for more advanced analyses.
Establishes core Python proficiency, data cleaning methodologies, introductory statistics and predictive modeling. You will apply essential python packages and functions and fundamental visualization techniques in preparation for more advanced analyses.
Time Series Analysis
Time Series Analysis
Time Series Analysis
You will examine patterns in sequential data, including trends, seasonality, and cycles. Emphasis is placed on the implementation of ARIMA and SARIMA models, as well as diagnostic procedures to assess forecasting accuracy in various contexts.
You will examine patterns in sequential data, including trends, seasonality, and cycles. Emphasis is placed on the implementation of ARIMA and SARIMA models, as well as diagnostic procedures to assess forecasting accuracy in various contexts.
You will examine patterns in sequential data, including trends, seasonality, and cycles. Emphasis is placed on the implementation of ARIMA and SARIMA models, as well as diagnostic procedures to assess forecasting accuracy in various contexts.
Data Reduction Methods
Data Reduction Methods
Data Reduction Methods
Introduces approaches for managing high-dimensional or correlated data. You will explore Principal Component Analysis (PCA) for feature extraction, Principal Component Regression (PCR) for robust modeling, and K-Means clustering to group observations by similarity.
Introduces approaches for managing high-dimensional or correlated data. You will explore Principal Component Analysis (PCA) for feature extraction, Principal Component Regression (PCR) for robust modeling, and K-Means clustering to group observations by similarity.
Introduces approaches for managing high-dimensional or correlated data. You will explore Principal Component Analysis (PCA) for feature extraction, Principal Component Regression (PCR) for robust modeling, and K-Means clustering to group observations by similarity.
Advanced Analytics & Machine Learning
Advanced Analytics & Machine Learning
Advanced Analytics & Machine Learning
You will advance to further algorithms beyond logistic regression, including Naive Bayes, K-Nearest Neighbors, Support Vector Machines, and ensemble methods such as Random Forest. Additional topics include transformations like Weight of Evidence, Information Value, and Market Basket Analysis for diverse predictive applications.
You will advance to further algorithms beyond logistic regression, including Naive Bayes, K-Nearest Neighbors, Support Vector Machines, and ensemble methods such as Random Forest. Additional topics include transformations like Weight of Evidence, Information Value, and Market Basket Analysis for diverse predictive applications.
You will advance to further algorithms beyond logistic regression, including Naive Bayes, K-Nearest Neighbors, Support Vector Machines, and ensemble methods such as Random Forest. Additional topics include transformations like Weight of Evidence, Information Value, and Market Basket Analysis for diverse predictive applications.
Natural Language Processing
Natural Language Processing
Natural Language Processing
Provides methods for converting unstructured text into quantifiable insights through tokenization, sentiment analysis, and word cloud generation. This section also addresses real-time data acquisition from APIs, facilitating timely monitoring of textual trends.
Provides methods for converting unstructured text into quantifiable insights through tokenization, sentiment analysis, and word cloud generation. This section also addresses real-time data acquisition from APIs, facilitating timely monitoring of textual trends.
Provides methods for converting unstructured text into quantifiable insights through tokenization, sentiment analysis, and word cloud generation. This section also addresses real-time data acquisition from APIs, facilitating timely monitoring of textual trends.
Neural Networks & Deep Learning
Neural Networks & Deep Learning
Neural Networks & Deep Learning
You will cover foundational network architectures—MLPs, CNNs, and RNNs—and their training processes, including backpropagation. Participants also examine regularization techniques, transfer learning strategies, and deployment considerations to address complex predictive tasks.
You will cover foundational network architectures—MLPs, CNNs, and RNNs—and their training processes, including backpropagation. Participants also examine regularization techniques, transfer learning strategies, and deployment considerations to address complex predictive tasks.
You will cover foundational network architectures—MLPs, CNNs, and RNNs—and their training processes, including backpropagation. Participants also examine regularization techniques, transfer learning strategies, and deployment considerations to address complex predictive tasks.
Exam Structure
In this exam, you’ll receive business scenarios and datasets in advance. During the assessment, you will:
Exam A
Exam B
Exam A:
Test of Knowledge
This exam assesses your understanding of advanced data science concepts, programming proficiency, mathematical and statistical knowledge and machine learning technigues. You’ll encounter multiple-choice, multi-select, and true/false questions covering both theory and application in areas including:
Time Series
Data Reduction
Machine learning
Deep Learning & Computer vision
Natural Language Processing
Exam Length:
120 Minutes
Pass Grade:
70%
Schedule:
On Demand
Exam Structure
In this exam, you’ll receive business scenarios and datasets in advance. During the assessment, you will:
Exam A
Exam B
Exam A:
Test of Knowledge
This exam assesses your understanding of advanced data science concepts, programming proficiency, mathematical and statistical knowledge and machine learning technigues. You’ll encounter multiple-choice, multi-select, and true/false questions covering both theory and application in areas including:
Time Series
Data Reduction
Machine learning
Deep Learning & Computer vision
Natural Language Processing
Exam Length:
120 Minutes
Pass Grade
70%
Schedule
120 Minutes
Exam Structure
In this exam, you’ll receive business scenarios and datasets in advance. During the assessment, you will:
Exam A
Exam B
Exam A:
Test of Knowledge
This exam assesses your understanding of advanced data science concepts, programming proficiency, mathematical and statistical knowledge and machine learning technigues. You’ll encounter multiple-choice, multi-select, and true/false questions covering both theory and application in areas including:
Time Series
Data Reduction
Machine learning
Deep Learning & Computer vision
Natural Language Processing
Exam Length:
120 Minutes
Pass Grade:
70%
Schedule:
On Demand
Exam Structure
In this exam, you’ll receive business scenarios and datasets in advance. During the assessment, you will:
Exam A
Exam B
Exam A:
Test of Knowledge
This exam assesses your understanding of advanced data science concepts, programming proficiency, mathematical and statistical knowledge and machine learning technigues. You’ll encounter multiple-choice, multi-select, and true/false questions covering both theory and application in areas including:
Time Series
Data Reduction
Machine learning
Deep Learning & Computer vision
Natural Language Processing
Exam Length:
120 Minutes
Pass Grade:
70%
Schedule:
On Demand
Candidate Profiles
Candidate Profiles
Candidate Profiles
The Professional Data Scientist Certification caters to a wide range of people seeking to advance their expertise. Whether you are an experienced professional, an aspiring practitioner, or an advanced student, this certification is designed to help you enhance your skills and stay at the forefront of industry trends.
The Professional Data Scientist Certification caters to a wide range of people seeking to advance their expertise. Whether you are an experienced professional, an aspiring practitioner, or an advanced student, this certification is designed to help you enhance your skills and stay at the forefront of industry trends.
The Professional Data Scientist Certification caters to a wide range of people seeking to advance their expertise. Whether you are an experienced professional, an aspiring practitioner, or an advanced student, this certification is designed to help you enhance your skills and stay at the forefront of industry trends.
Data Analysts & Data Scientists
Data Analysts & Data Scientists
Data Analysts & Data Scientists
Professionals already working with data who wish to extend their expertise in time series forecasting, neural networks, and advanced machine learning.
Professionals already working with data who wish to extend their expertise in time series forecasting, neural networks, and advanced machine learning.
Professionals already working with data who wish to extend their expertise in time series forecasting, neural networks, and advanced machine learning.
Technical Leaders
Technical Leaders
Engineers, IT professionals, and AI practitioners aiming to deploy advanced data science at scale.
Engineers, IT professionals, and AI practitioners aiming to deploy advanced data science at scale.
Engineers, IT professionals, and AI practitioners aiming to deploy advanced data science at scale.
Business Managers
Business Managers
Leaders guiding analytics teams or data-centric initiatives. The CPDS clarifies advanced methodologies, enabling strategic data projects and high-level analytics advocacy.
Leaders guiding analytics teams or data-centric initiatives. The CPDS clarifies advanced methodologies, enabling strategic data projects and high-level analytics advocacy.
Leaders guiding analytics teams or data-centric initiatives. The CPDS clarifies advanced methodologies, enabling strategic data projects and high-level analytics advocacy.
Consultants & Advisors
Consultants & Advisors
Independent or in-house specialists guiding data-driven decisions. CPDS provides advanced frameworks to refine analyses, optimize client solutions, and deliver expert advisory on AI-driven strategies.
Independent or in-house specialists guiding data-driven decisions. CPDS provides advanced frameworks to refine analyses, optimize client solutions, and deliver expert advisory on AI-driven strategies.
Independent or in-house specialists guiding data-driven decisions. CPDS provides advanced frameworks to refine analyses, optimize client solutions, and deliver expert advisory on AI-driven strategies.
Functional & Domain Specialists
Functional & Domain Specialists
Professionals who excel in specific fields (e.g., marketing, finance, healthcare) and need advanced analytics or AI techniques to refine processes, drive innovation, and make data-driven decisions.
Professionals who excel in specific fields (e.g., marketing, finance, healthcare) and need advanced analytics or AI techniques to refine processes, drive innovation, and make data-driven decisions.
Professionals who excel in specific fields (e.g., marketing, finance, healthcare) and need advanced analytics or AI techniques to refine processes, drive innovation, and make data-driven decisions,
Professionals who excel in specific fields (e.g., marketing, finance, healthcare) and need advanced analytics or AI techniques to refine processes, drive innovation, and make data-driven decisions.
Students & Researchers
Students & Researchers
Advanced undergraduate or postgraduate students from numerate disciplines seeking to gain data science skills and knowledge.
Advanced undergraduate or postgraduate students from numerate disciplines seeking to gain data science skills and knowledge.
Advanced undergraduate or postgraduate students from numerate disciplines seeking to gain data science skills and knowledge.
What our Students and Graduates Say
"Looking to shift to a data science career, I appreciate the incremental course structure that facilitates learning module by module."
Priya Loganathan
Data Analytics Manager, EY
What our Students and Graduates Say
"Looking to shift to a data science career, I appreciate the incremental course structure that facilitates learning module by module."
Priya Loganathan
Data Analytics Manager, EY
What our Students and Graduates Say
"Looking to shift to a data science career, I appreciate the incremental course structure that facilitates learning module by module."
Priya Loganathan
Data Analytics Manager, EY
What our Students and Graduates Say
"Looking to shift to a data science career, I appreciate the incremental course structure that facilitates learning module by module."
Priya Loganathan
Data Analytics Manager, EY
Preparation Resources
Both certifications are designed to meet the diverse needs of data professionals, offering flexibility, relevance, and practical value.
Online Learning Hub
When you register for the CPDS exam, you will gain full access to the Professional Certification Online Learning Hub, a comprehensive resource designed to support your exam preparation. The hub includes detailed study guides, datasets, case studies, quizzes, and more.
Masterclasses
Practice Exam Questions
Case Studies
Preparation Resources
Both certifications are designed to meet the diverse needs of data professionals, offering flexibility, relevance, and practical value.
Online Learning Hub
When you register for the CPDS exam, you will gain full access to the Professional Certification Online Learning Hub, a comprehensive resource designed to support your exam preparation. The hub includes detailed study guides, datasets, case studies, quizzes, and more.
Masterclasses
Practice Exam Questions
Case Studies
Preparation Resources
Both certifications are designed to meet the diverse needs of data professionals, offering flexibility, relevance, and practical value.
Online Learning Hub
When you register for the CPDS exam, you will gain full access to the Professional Certification Online Learning Hub, a comprehensive resource designed to support your exam preparation. The hub includes detailed study guides, datasets, case studies, quizzes, and more.
Masterclasses
Practice Exam Questions
Case Studies
Preparation Resources
Both certifications are designed to meet the diverse needs of data professionals, offering flexibility, relevance, and practical value.
Online Learning Hub
When you register for the CPDS exam, you will gain full access to the Professional Certification Online Learning Hub, a comprehensive resource designed to support your exam preparation. The hub includes detailed study guides, datasets, case studies, quizzes, and more.
Masterclasses
Practice Exam Questions
Case Studies
Accredited and Industry Endorsed
At the Data Science Institute, our academically accredited programmes and certifications are built to reflect the evolving needs of industry. Developed in collaboration with professionals across diverse sectors, each offering is designed to ensure that learners gain practical, relevant skills that meet real-world demands.
We are supported by an Industry Advisory Board, made up of senior professionals from these sectors. The board plays an active role in shaping our curriculum, helping us maintain alignment with changing technologies, workforce needs, and sector-specific developments.
Accredited and Industry Endorsed
At the Data Science Institute, our academically accredited programmes and certifications are built to reflect the evolving needs of industry. Developed in collaboration with professionals across diverse sectors, each offering is designed to ensure that learners gain practical, relevant skills that meet real-world demands.
We are supported by an Industry Advisory Board, made up of senior professionals from these sectors. The board plays an active role in shaping our curriculum, helping us maintain alignment with changing technologies, workforce needs, and sector-specific developments.
Accredited and Industry Endorsed
At the Data Science Institute, our academically accredited programmes and certifications are built to reflect the evolving needs of industry. Developed in collaboration with professionals across diverse sectors, each offering is designed to ensure that learners gain practical, relevant skills that meet real-world demands.
We are supported by an Industry Advisory Board, made up of senior professionals from these sectors. The board plays an active role in shaping our curriculum, helping us maintain alignment with changing technologies, workforce needs, and sector-specific developments.
Accredited and Industry Endorsed
At the Data Science Institute, our academically accredited programmes and certifications are built to reflect the evolving needs of industry. Developed in collaboration with professionals across diverse sectors, each offering is designed to ensure that learners gain practical, relevant skills that meet real-world demands.
We are supported by an Industry Advisory Board, made up of senior professionals from these sectors. The board plays an active role in shaping our curriculum, helping us maintain alignment with changing technologies, workforce needs, and sector-specific developments.
Frequently Asked Questions
Frequently Asked Questions
Frequently Asked Questions
1. What is the CPDS certification?
The Certified Professional Data Scientist (CPDS) is an advanced, industry-recognized credential designed to validate your capabilities in time series forecasting, data reduction, machine learning, deep learning, and other cutting-edge data science methods. It suits professionals aiming to work on complex analytics, AI solutions, and emerging data-driven applications across various sectors.
1. What is the CPDS certification?
1. What is the CPDS certification?
The Certified Professional Data Scientist (CPDS) is an advanced, industry-recognized credential designed to validate your capabilities in time series forecasting, data reduction, machine learning, deep learning, and other cutting-edge data science methods. It suits professionals aiming to work on complex analytics, AI solutions, and emerging data-driven applications across various sectors.
1. What is the CPDS certification?
2. Who should consider taking CPDS?
2. Who should consider taking CPDS?
2. Who should consider taking CPDS?
2. Who should consider taking CPDS?
3. Are there any prerequisites or technical requirements?
3. Are there any prerequisites or technical requirements?
3. Are there any prerequisites or technical requirements?
3. Are there any prerequisites or technical requirements?
4. How is the CPDS certification structured?
4. How is the CPDS certification structured?
4. How is the CPDS certification structured?
4. How is the CPDS certification structured?
5. What topics are covered in the CPDS syllabus?
5. What topics are covered in the CPDS syllabus?
5. What topics are covered in the CPDS syllabus?
5. What topics are covered in the CPDS syllabus?
6. How do I prepare for the CPDS exams?
6. How do I prepare for the CPDS exams?
6. How do I prepare for the CPDS exams?
6. How do I prepare for the CPDS exams?
7. What are the costs and membership benefits?
7. What are the costs and membership benefits?
7. What are the costs and membership benefits?
7. What are the costs and membership benefits?
8. Can I access academic program content from the Data Science Institute?
8. Can I access academic program content from the Data Science Institute?
8. Can I access academic program content from the Data Science Institute?
8. Can I access academic program content from the Data Science Institute?
9. What if I want to progress beyond CPDS?
9. What if I want to progress beyond CPDS?
9. What if I want to progress beyond CPDS?
9. What if I want to progress beyond CPDS?
10. How do I register, and when are the exams offered?
10. How do I register, and when are the exams offered?
10. How do I register, and when are the exams offered?
10. How do I register, and when are the exams offered?
Start Your Application
To apply for the Certified Professional Data Scientist Certification, please complete the form.
Start Your Application
To apply for the Certified Professional Data Scientist Certification, please complete the form.
Start Your Application
To apply for the Certified Professional Data Scientist Certification, please complete the form.
Start Your Application
To apply for the Certified Professional Data Scientist Certification, please complete the form.
Start Your Application
To apply for the Certified Professional Data Scientist Certification, please complete the form.
Start Your Application
To apply for the Certified Professional Data Scientist Certification, please complete the form.
Start Your Application
To apply for the Certified Professional Data Scientist Certification, please complete the form.