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  • Data Validation Techniques

Results for "data validation techniques"


  • J

    John Wiley & Sons

    Database Deployment and Maintenance Essentials

    Skills you'll gain: Database Administration, Database Architecture and Administration, Database Systems, Database Management, Database Management Systems, Databases, Operational Databases, Data Maintenance, Database Design, Data Management, Data Integrity, Data Security, SQL, Data Validation, System Monitoring, Security Controls, Performance Tuning, Query Languages, Disaster Recovery, Data Science

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    Universidad Nacional Autónoma de México

    Espectroscopía infrarroja: Algoritmo de interpretación

    Skills you'll gain: Analytical Chemistry, Chemistry, Data Analysis, Laboratory Testing, Engineering, Scientific, and Technical Instruments, Structural Analysis, Laboratory Research, Verification And Validation, Data Flow Diagrams (DFDs), Laboratory Techniques, Problem Solving, Pivot Tables And Charts, Quality Control, Technical Documentation, Data Collection, Physics

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    AI for Medical Prognosis

    Skills you'll gain: Classification And Regression Tree (CART), Risk Modeling, Decision Tree Learning, Predictive Modeling, Feature Engineering, Statistical Machine Learning, Applied Machine Learning, Random Forest Algorithm, Forecasting, Model Evaluation, Biostatistics, Predictive Analytics, Data Preprocessing, Data Cleansing, Statistical Modeling, Risk Analysis, Machine Learning, Statistical Methods, Statistical Analysis, Deep Learning

    ★ 4.7 (800) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud Engineer

    Skills you'll gain: Cloud Infrastructure, Identity and Access Management, Kubernetes, Google Cloud Platform, Cloud Management, Prompt Engineering, Cloud Storage, Containerization, Infrastructure As A Service (IaaS), Prompt Engineering Tools, Cloud Solutions, Prompt Patterns, Cloud-Native Computing, Terraform, Cloud Applications, Cloud Platforms, Cloud Computing Architecture, Cloud Engineering, Infrastructure Architecture, Cloud Computing

    ★ 4.7 (59K) · Intermediate · Professional Certificate · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    IBM Java Developer

    Skills you'll gain: Software Development Life Cycle, Cloud-Native Computing, Software Architecture, Hibernate (Java), Database Design, Responsive Web Design, Docker (Software), Containerization, Git (Version Control System), GitHub, Object Oriented Programming (OOP), CI/CD, Restful API, Data Ethics, Java Programming, Model Deployment, Version Control, Database Management, Software Development, Software Design

    ★ 4.6 (7.6K) · Beginner · Professional Certificate · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: AI skills
    AI skills
    Category: Credit offered
    Credit offered
  • I

    IBM

    IBM IT Support

    Skills you'll gain: Cloud Computing Architecture, Technical Support, Technical Support and Services, Cloud Services, Cloud Deployment, Generative AI, Hardware Troubleshooting, IT Service Management, Cloud Security, Generative AI Agents, Cloud Infrastructure, Systems Development Life Cycle, Cybersecurity, Cloud Computing, Professional Networking, Data Storage, Peripheral Devices, Database Administration, Information Technology, Customer Service

    ★ 4.7 (12K) · Beginner · Professional Certificate · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    Deep Learning with Keras and Tensorflow

    Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Reinforcement Learning, Deep Learning, Model Optimization, Autoencoders, Generative AI, Unsupervised Learning, Tensorflow, Generative Adversarial Networks (GANs), Generative Model Architectures, Transfer Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Time Series Analysis and Forecasting

    ★ 4.4 (1K) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Minnesota

    Introduction to Predictive Modeling

    Skills you'll gain: Time Series Analysis and Forecasting, Model Evaluation, Predictive Modeling, Data Preprocessing, Model Training, Regression Analysis, Microsoft Excel, Forecasting, Excel Formulas, Pivot Tables And Charts, Data Manipulation, Data Transformation, Feature Engineering, Statistical Modeling, Spreadsheet Software, Predictive Analytics, Model Optimization, Data Cleansing, Statistical Methods

    ★ 4.8 (144) · Mixed · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    Apply Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Image Analysis, Convolutional Neural Networks, Responsible AI, Data Ethics, Model Training, Information Privacy, Data Synthesis

    ★ 4.8 (548) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    Machine Learning Capstone

    Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Machine Learning Methods, Applied Machine Learning, Predictive Modeling, Data Presentation, AI Personalization, Machine Learning, Data Analysis, Predictive Analytics, Machine Learning Software, Technical Communication, Machine Learning Algorithms, Statistical Analysis, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Descriptive Statistics, Regression Analysis, Python Programming

    ★ 4.7 (202) · Advanced · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • N

    New York University

    Guided Tour of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Machine Learning Methods, Model Evaluation, Applied Machine Learning, Statistical Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Statistical Modeling, Predictive Modeling, Model Training, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Tensorflow, Logistic Regression, Jupyter, Reinforcement Learning

    ★ 3.8 (681) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • M

    Microsoft

    Microsoft 365 Essentials: Create, Collaborate, and Deliver

    Skills you'll gain: Content Performance Analysis, Multimedia, Microsoft PowerPoint, Microsoft Copilot, Microsoft Excel, Excel Formulas, Microsoft Word, Microsoft Outlook, Microsoft Teams, Presentations, Spreadsheet Software, Microsoft 365, Microsoft Office, Content Creation, Productivity Software, Collaborative Software, Generative AI, Data Analysis, Data Visualization, Business Communication

    ★ 4.7 (6.2K) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…211212213…834

In summary, here are 10 of our most popular data validation techniques courses

  • Database Deployment and Maintenance Essentials: John Wiley & Sons
  • Espectroscopía infrarroja: Algoritmo de interpretación: Universidad Nacional Autónoma de México
  • AI for Medical Prognosis : DeepLearning.AI
  • Preparing for Google Cloud Certification: Cloud Engineer: Google Cloud
  • IBM Java Developer: IBM
  • IBM IT Support: IBM
  • Deep Learning with Keras and Tensorflow: IBM
  • Introduction to Predictive Modeling: University of Minnesota
  • Apply Generative Adversarial Networks (GANs): DeepLearning.AI
  • Machine Learning Capstone: IBM

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