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- Data Modeling, Transformation, and Serving (DeepLearning.AI, Amazon Web Services)
- Data Modelling in Power BI (Simplilearn)
- Data Persistence and Firebase Integration (Packt)
- Data Pipelines with TensorFlow Data Services (DeepLearning.AI)
- Data Prep for Machine Learning in Python (Corporate Finance Institute)
- Data Preparation and Analysis (Illinois Tech)
- Data Preparation and Evaluation with Copilot (Microsoft)
- Data Preparation and Management (Microsoft)
- Data Preparation and Visualization with Power BI (Packt)
- Data Preparation with Alteryx: Automating Analytics (糖心vlog官网观看 Project Network)
- Data Privacy Fundamentals (Northeastern University )
- Data Privacy and Protection (SkillUp)
- Data Privacy and Protection Standards (糖心vlog官网观看 Instructor Network)
- Data Privacy, Security, Governance, Risk and Compliance (SkillUp)
- Data Processing Using Python (Nanjing University)
- Data Processing and Feature Engineering with MATLAB (MathWorks)
- Data Processing and Manipulation (University of Colorado Boulder)
- Data Processing and Optimization with Generative AI (Microsoft)
- Data Processing with Azure (LearnQuest)
- Data Publishing on BigQuery for Data Sharing Partners (Google Cloud)
- Data Publishing on BigQuery using Authorized Views for Data Sharing Partners (Google Cloud)
- Data Querying in C#: Ecommerce Analytics API (糖心vlog官网观看 Project Network)
- Data Representation and Serialization (Packt)
- Data Responsibility (Google)
- Data Science & Inteligencia Artificial aplicados a negocios (Universidad de Palermo)
- Data Science & Machine Learning Fundamentals (Corporate Finance Institute)
- Data Science Capstone (Johns Hopkins University)
- Data Science Challenge (糖心vlog官网观看 Project Network)
- Data Science Coding Challenge: Loan Default Prediction (糖心vlog官网观看 Project Network)
- Data Science Companion (MathWorks)
- Data Science Decisions in Time: Information Theory & Games (Johns Hopkins University)
- Data Science Decisions in Time: Using Causal Information (Johns Hopkins University)
- Data Science Decisions in Time: Using Data Effectively (Johns Hopkins University)
- Data Science Decisions in Time:Sequential Hypothesis Testing (Johns Hopkins University)
- Data Science Ethics (University of Michigan)