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Lab Courses

Lab courses can help you learn experimental design, data collection techniques, statistical analysis, and safety protocols. You can build skills in critical thinking, problem-solving, and precise documentation practices. Many courses introduce tools like laboratory software, data analysis programs, and equipment for conducting experiments, that support analyzing results and drawing conclusions.


Popular Lab Courses and Certifications


  • G

    Google Cloud

    VPC Flow Logs - Analyzing Network Traffic

    Skills you'll gain: Apache, Network Monitoring, Data Import/Export, Web Servers, Virtual Networking, Network Analysis

    Intermediate · Project · Less Than 2 Hours

  • G

    Google Cloud

    Use Go Code to Work with Google Cloud Data Sources

    Skills you'll gain: Google App Engine, Application Deployment, Google Cloud Platform, Go (Programming Language), Cloud Applications, Cloud Development, Software Testing, Data Access, Big Data, Database Application

    Beginner · Project · Less Than 2 Hours

  • G

    Google Cloud

    Deploy Your Website on Cloud Run

    Skills you'll gain: Cloud Deployment, Kubernetes, Application Deployment, Google Cloud Platform, Docker (Software), Cloud Applications, CI/CD, Scalability, Containerization

    Beginner · Project · Less Than 2 Hours

  • F

    Fred Hutchinson Cancer Center

    Wrangling Computing Environments: Using Docker for Research

    Skills you'll gain: CI/CD, Continuous Integration, Containerization, Docker (Software), Development Environment, Continuous Deployment, Devops Tools, Bioinformatics, Software Development, Biomedical Technology, Debugging, Software Versioning

    Intermediate · Course · 1 - 3 Months

  • S

    Stanford University

    AI in Healthcare

    Skills you'll gain: Feature Engineering, Healthcare Ethics, Pharmaceuticals, Data Ethics, Clinical Research, Clinical Data Management, Health Systems, Healthcare Industry Knowledge, Clinical Research Ethics, Unstructured Data, Health Care, Model Deployment, Health Informatics, Data Mining, Managed Care, Model Evaluation, Responsible AI, Applied Machine Learning, Machine Learning, Artificial Intelligence

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • I

    IBM

    Generative AI for Data Analysts

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, ChatGPT, Data Storytelling, OpenAI, Analytics, Prompt Engineering Tools, Data Analysis, Dashboard, Real Time Data, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Data Visualization Software, AI Workflows, AI Personalization, Statistical Analysis, Python Programming, Data Cleansing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • I

    Imperial College London

    Mission Led Innovation: Designing a Sustainable Future

    Skills you'll gain: Creativity, Innovation, Design Thinking, Sustainable Design, Ideation, Research and Design, Sustainable Development, Scalability, Social Impact, Systems Thinking, Human Centered Design, Prototyping

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Develop Production-Ready ML APIs with MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), API Design, CI/CD, Software Quality Assurance, Code Review

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Automate ML Pipelines for Peak Performance

    Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Workflow Management, Predictive Modeling, Scalability, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Excel Basics for Data Analysis

    Skills you'll gain: Excel Formulas, Pivot Tables And Charts, Data Cleansing, Microsoft Excel, Spreadsheet Software, Google Sheets, Data Wrangling, Data Analysis, Data Quality, Data Manipulation, Data Integrity, Data Presentation, Data Preprocessing, Data Import/Export, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Beginner · Course · 1 - 3 Months

  • I

    IBM

    Generative AI for Data Scientists

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Exploratory Data Analysis, Generative Adversarial Networks (GANs), Data Ethics, Feature Engineering, Predictive Modeling, AI Enablement, Responsible AI, Real Time Data, Data Visualization, Artificial Intelligence and Machine Learning (AI/ML), Data Presentation, Data Science, AI Workflows, Data Synthesis, AI Personalization, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Intermediate · Specialization · 1 - 3 Months

  • D

    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Data Preprocessing, Machine Learning, Machine Learning Methods

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.2K reviews

    Intermediate · Specialization · 1 - 3 Months

1…91011…70

In summary, here are 10 of our most popular lab courses

  • VPC Flow Logs - Analyzing Network Traffic: Google Cloud
  • Use Go Code to Work with Google Cloud Data Sources: Google Cloud
  • Deploy Your Website on Cloud Run: Google Cloud
  • Wrangling Computing Environments: Using Docker for Research: Fred Hutchinson Cancer Center
  • AI in Healthcare: Stanford University
  • Generative AI for Data Analysts: IBM
  • Mission Led Innovation: Designing a Sustainable Future: Imperial College London
  • Develop Production-Ready ML APIs with MLOps: Coursera
  • Automate ML Pipelines for Peak Performance: Coursera
  • Excel Basics for Data Analysis: IBM

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