
CPDS certifies advanced competence in machine learning, deep learning, time series, natural language processing and advanced analytics. It is built on a published specification and issued by the Data Science Institute on independent examination.
CPDS is for people extending their expertise in advanced data science and applied AI.
Professionals already working with data, including CPDA holders, who want to extend into time series, neural networks and advanced machine learning.
Engineers, IT professionals and AI practitioners deploying advanced data science at scale.
Leaders guiding analytics teams or data-centric initiatives.
Specialists guiding data-driven decisions and AI strategy.
Professionals in fields such as marketing, finance and healthcare applying advanced analytics and AI.
Advanced students from numerate disciplines building data science skills.
Set out in the published CPDS Certification Specification and approved by the Certifications Board.
Core Python proficiency, data cleaning, introductory statistics and predictive modelling, with essential packages and visualisation.
Patterns in sequential data (trends, seasonality and cycles), ARIMA and SARIMA models, and forecasting diagnostics.
Methods for high-dimensional or correlated data: Principal Component Analysis, Principal Component Regression and K-Means clustering.
Algorithms beyond logistic regression (Naive Bayes, K-Nearest Neighbors, Support Vector Machines and ensembles such as Random Forest) and related transformations.
Converting unstructured text into insight through tokenisation and sentiment analysis, including real-time data from APIs.
Network architectures (MLPs, CNNs and RNNs), training and backpropagation, regularisation, transfer learning and deployment.
Candidates take a test of knowledge and a practical assessment. Exam A must be passed before Exam B.
Assesses understanding of advanced data science concepts, programming, mathematics and statistics, and machine learning, through multiple-choice, multi-select and true/false questions covering theory and application.
A practical exam applying data science methods to datasets and scenarios, across the analytical workflow from preparation through modelling to insight.
You can prepare for CPDS through a DSI partner institution, or directly with the Data Science Institute.
Study with a DSI partner institution delivering the CPDS learning programme. Partners are active delivery partners for CPDS.
Enquire about a partner in your areaTake the CPDS learning programme on the DSI Certifications Platform.
Find out moreCertifying with CPDS makes you an Affiliate Member of the Institute, with Full Membership available at three or more years' professional experience. The CPD scheme helps keep your skills, and your certification, up to date.
Membership & CPDUnder the Recognition of Prior Learning (RPL) arrangement, CPDS holders are eligible for admission and credit exemptions toward DSI's Woolf-accredited MSc and Postgraduate Diploma programmes.
Compare the certificationsCPDS comes with a digital badge that any employer can verify: the certification, the holder, the issue date and its current status.
Verify a credentialYour study on the DSI platform is tracked and recorded as you work through it, and that record evidences the study behind your certification. Under the Recognition of Prior Learning arrangement, CPDS holders are eligible for admission and credit exemptions toward DSI's Woolf-accredited postgraduate programmes.
How accreditation worksRegistration includes the Online Learning Hub and your first year of DSI membership. Exams are taken on demand.
Register now