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  • Causal Inference

Causal Inference Courses

Causal inference courses can help you learn statistical techniques, experimental design, and observational study methods. You can build skills in identifying causal relationships, analyzing data sets, and interpreting results to inform decision-making. Many courses introduce tools like R, Python, and specialized software for conducting causal analyses, enabling you to apply these skills in real-world contexts such as public health, economics, and social sciences.

Popular Causal Inference Courses and Certifications


  • Status: Free
    Free
    D

    DeepLearning.AI

    Quantization in Depth

    Skills you'll gain: Model Optimization, PyTorch (Machine Learning Library), Model Deployment

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: Preview
    Preview
    N

    Northeastern University

    Engineering Probability and Statistics Part 2

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Sampling (Statistics), Statistical Reporting, Statistical Methods, Statistics, Probability & Statistics, Statistical Analysis, Sample Size Determination, Probability Distribution, Data Presentation, Engineering Analysis, Data Synthesis, Estimation, Analysis, Data-Driven Decision-Making

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    J

    John Wiley & Sons

    Data Science and Machine Learning for Business Professionals

    Skills you'll gain: Statistics, Probability & Statistics, Data Analysis, Statistical Methods, Data Literacy, Data Collection, Unsupervised Learning, Text Mining, Analytical Skills, Statistical Inference, Unstructured Data, Probability, Predictive Modeling, Data Science, Deep Learning, Machine Learning, Machine Learning Methods, Data Visualization, Business Communication, Communication

    Intermediate · Course · 3 - 6 Months

  • Status: Preview
    Preview
    R

    Rice University

    Einführung in die Datenanalyse mit Excel

    Skills you'll gain: Microsoft Excel, Graphing, Plot (Graphics), Spreadsheet Software, Pivot Tables And Charts, Excel Formulas, Data Analysis, Data Analysis Software, Data Import/Export, Data Literacy, Scatter Plots, Histogram, Data Manipulation, Data Management, Editing

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    SAS

    Statistics You Need to Know for Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Logistic Regression, Correlation Analysis, Applied Machine Learning, Model Evaluation, Data Modeling

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    Duke University

    R을 사용한 확률 및 데이터 소개

    Skills you'll gain: Exploratory Data Analysis, Sampling (Statistics), Probability Distribution, R (Software), R Programming, Probability & Statistics, Statistical Programming, Bayesian Statistics, Data Collection, Data Analysis, Probability, Statistical Software, Statistics, Statistical Analysis, Data Analysis Software, Data Science, Descriptive Statistics, Statistical Inference

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Secure AI Systems Across Lifecycle Stages

    Skills you'll gain: AI Security, Threat Modeling, MITRE ATT&CK Framework, Security Controls, MLOps (Machine Learning Operations), Secure Coding, Security Testing, Threat Management, Model Deployment, Data Security, Model Training, Artificial Intelligence and Machine Learning (AI/ML), Vulnerability Assessments, Application Lifecycle Management, Data Integrity

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Applied Object Detection & Segmentation

    Skills you'll gain: Model Evaluation, Model Optimization, Model Deployment, MLOps (Machine Learning Operations), Transfer Learning, Image Quality, Model Training, Image Analysis, Analysis, Computer Vision, Tensorflow, Data Quality, Failure Analysis, Data Pipelines, Deep Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Performance Analysis, Docker (Software), Python Programming

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Generative AI: Foundations and Concepts

    Skills you'll gain: Generative AI, Generative Model Architectures, Convolutional Neural Networks, Artificial Neural Networks, Model Optimization, Deep Learning, Model Training, Bayesian Network, Machine Learning Methods, Mathematical Modeling, Estimation, Model Evaluation, Applied Mathematics, Network Architecture, Probability & Statistics, Probability Distribution

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Coursera

    GenAI for AWS: AI-Driven Cloud Automation & Scaling

    Skills you'll gain: Amazon Bedrock, Cloud Computing Architecture, AI Workflows, Generative AI, Cloud Engineering, Amazon Web Services, Cloud Development, Cloud Computing, AI Orchestration, Applied Machine Learning, Cloud Deployment, AI literacy, Cloud Security, AWS Identity and Access Management (IAM), Scalability

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Survey Samples: Size and Methods

    Skills you'll gain: Sample Size Determination, Sampling (Statistics), Survey Creation, Quantitative Research, Research Design, Business Research, Research Methodologies, Estimation, Data Collection, Statistical Inference, Statistical Methods, Statistics, Decision Making, Probability & Statistics, Probability

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Real Madrid Graduate School Universidad Europea

    Must-Know Concepts - Basic requirements for data analysis

    Skills you'll gain: Data Presentation, Data Literacy, Matplotlib, Analytics, Probability Distribution, Data Processing, Probability & Statistics, Statistical Methods, Statistical Analysis, Probability, Data Cleansing, Computer Programming Tools, Data Collection, Performance Measurement, Python Programming, Technical Analysis

    Beginner · Course · 1 - 4 Weeks

1…293031…35

In summary, here are 10 of our most popular causal inference courses

  • Quantization in Depth: DeepLearning.AI
  • Engineering Probability and Statistics Part 2: Northeastern University
  • Data Science and Machine Learning for Business Professionals: John Wiley & Sons
  • Einführung in die Datenanalyse mit Excel: Rice University
  • Statistics You Need to Know for Machine Learning: SAS
  • R을 사용한 확률 및 데이터 소개: Duke University
  • Secure AI Systems Across Lifecycle Stages: Coursera
  • Applied Object Detection & Segmentation: Coursera
  • Generative AI: Foundations and Concepts: Northeastern University
  • GenAI for AWS: AI-Driven Cloud Automation & Scaling: Coursera

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