Best Certifications for a Data Scientist (2026 Guide)
Sourced and verified directory of the most demanded credentials in the market to help you land a role as a Data Scientist. We've filtered these certifications by market demand, salary increase, and exam difficulty to give you the best return on your study time.
Associate Data Practitioner
dataFoundation-level data certification covering data fundamentals and Google Cloud data analytics tools.
Professional Machine Learning Engineer
dataAdvanced certification validating ability to design, build, and deploy machine learning models using Google Cloud.
Azure Data Fundamentals (DP-900)
dataValidates foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services.
IBM Data Science Certificate
dataComprehensive data science curriculum covering Python, ML, and real-world projects.
Databricks Certified Machine Learning Associate
ai_mlValidates ability to use Databricks for ML workflows including feature engineering, model training, MLflow tracking, and deployment on the Databricks Lakehouse Platform.
AWS Certified AI Practitioner (AIF-C01)
ai_mlEntry-level AWS certification covering AI and ML concepts, AWS AI services, generative AI, and responsible AI practices on AWS.
AWS Cloud Practitioner (CLF-C02)
cloudEntry-level AWS certification covering cloud concepts, core AWS services, security, and pricing.
Azure Fundamentals (AZ-900)
cloudFoundation-level Microsoft Azure certification covering cloud concepts and core Azure services.
AWS Machine Learning Engineer Associate (MLA-C01)
dataValidates ability to develop, build, train, and deploy machine learning models using AWS services.
Azure Data Scientist Associate (DP-100)
dataValidates ability to design and implement data science solutions using Azure Machine Learning, covering model training, deployment, responsible AI, and MLOps workflows.
Google Cloud Digital Leader
cloudEntry-level certification covering cloud computing fundamentals and Google Cloud's business solutions.