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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 Trial
    Free Trial
    J

    Johns Hopkins University

    Statistical Methods for Computer Science

    Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Bayesian Network, Statistical Hypothesis Testing, Statistical Programming, Data Analysis, R (Software), Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Statistical Methods, Social Network Analysis, Applied Mathematics, Simulations, Data Science, Markov Model

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    SkillUp

    Data Collection and Root Cause Analysis

    Skills you'll gain: Root Cause Analysis, Correlation Analysis, Regression Analysis, Data Collection, Descriptive Statistics, Statistical Hypothesis Testing, Statistical Analysis, Process Analysis, Six Sigma Methodology, Lean Six Sigma, Data Analysis, Process Improvement, Statistical Inference, Pareto Chart

    4.2
    Rating, 4.2 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistics and Data Analysis with Excel, Part 2

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Sampling (Statistics), Statistical Methods, Microsoft Excel, Probability & Statistics, Data Analysis, Regression Analysis, Statistical Inference, Probability Distribution, Statistical Modeling

    5
    Rating, 5 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Foundations of Statistical Learning & Algorithms

    Skills you'll gain: Model Evaluation, Linear Algebra, Statistical Machine Learning, Probability, Bayesian Statistics, Probability Distribution, Mathematical Modeling, Machine Learning, Applied Mathematics, Statistical Inference, Dimensionality Reduction, Algebra

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Particle Filters (and Navigation)

    Skills you'll gain: Bayesian Network, Numerical Analysis, Estimation, Simulations, Matlab, Mathematical Modeling, Applied Mathematics, Engineering Analysis, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
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    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    R

    Rice University

    Introduction à l'analyse de données à l'aide d'Excel

    Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Spreadsheet Software, Excel Formulas, Data Visualization Software, Graphing, Data Analysis, Scatter Plots, Histogram, Data Manipulation, Data Import/Export

    4.5
    Rating, 4.5 out of 5 stars
    ·
    20 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Aerial Image Segmentation with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Image Analysis, Computer Vision, Deep Learning, Python Programming

    4
    Rating, 4 out of 5 stars
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    32 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Operationalizing LLMs on Azure

    Skills you'll gain: Large Language Modeling, LLM Application, Prompt Engineering, Microsoft Azure, OpenAI API, Retrieval-Augmented Generation, OpenAI, Model Deployment, Risk Management Framework, Embeddings, Application Deployment, Application Programming Interface (API), Python Programming

    4.2
    Rating, 4.2 out of 5 stars
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    48 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    Local LLMs with llamafile

    Skills you'll gain: LLM Application, Model Deployment, Real Time Data, Large Language Modeling, Application Deployment, System Monitoring, Cross Platform Development, Application Programming Interface (API), Machine Learning

    2.7
    Rating, 2.7 out of 5 stars
    ·
    7 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    F

    Fundação Instituto de Administração

    System Dynamics

    Skills you'll gain: Systems Thinking, Simulations, Simulation and Simulation Software, Process Flow Diagrams, Systems Analysis, Complex Problem Solving, Diagram Design, Growth Strategies, Market Dynamics, Business Modeling, Decision Making

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Data-Oriented Python Programming and Debugging

    Skills you'll gain: NumPy, Debugging, Pandas (Python Package), Statistics, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Data Preprocessing, Data-oriented programming, Program Development, Numerical Analysis, Critical Thinking

    4.3
    Rating, 4.3 out of 5 stars
    ·
    15 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Scrimba

    Open-source AI Models

    Skills you'll gain: Hugging Face, Model Deployment, Open Source Technology, Responsible AI, Web Applications, Large Language Modeling, Artificial Intelligence

    4.8
    Rating, 4.8 out of 5 stars
    ·
    33 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Statistical Methods for Computer Science: Johns Hopkins University
  • Data Collection and Root Cause Analysis: SkillUp
  • Statistics and Data Analysis with Excel, Part 2: University of Colorado Boulder
  • Foundations of Statistical Learning & Algorithms: Northeastern University
  • Particle Filters (and Navigation): University of Colorado System
  • Introduction à l'analyse de données à l'aide d'Excel: Rice University
  • Aerial Image Segmentation with PyTorch : Coursera
  • Operationalizing LLMs on Azure: Duke University
  • Local LLMs with llamafile: Duke University
  • System Dynamics: Fundação Instituto de Administração

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