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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


  • 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
    ·
    32 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • J

    Johns Hopkins University

    What are the Chances? Probability and Uncertainty in Statistics

    Skills you'll gain: Statistics, Probability, Regression Analysis, Statistical Hypothesis Testing, Probability Distribution, Statistical Analysis, Statistical Inference, Sampling (Statistics), Combinatorics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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

  • A

    Arm

    Getting Started with Machine Learning at the Edge on Arm

    Skills you'll gain: Embedded Systems, Tensorflow, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Algorithms, Convolutional Neural Networks, Computer Vision, Deep Learning, Image Analysis, Machine Learning, Model Deployment, Model Evaluation

    4.2
    Rating, 4.2 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Michigan

    Data Science for Health Research

    Skills you'll gain: R (Software), Model Evaluation, Statistical Modeling, Statistics, Data Visualization, Data Wrangling, Data Manipulation, Correlation Analysis, Histogram, Data Analysis, Statistical Analysis, Biostatistics, Statistical Hypothesis Testing, Scripting, Package and Software Management, Data Import/Export

    4.9
    Rating, 4.9 out of 5 stars
    ·
    12 reviews

    Beginner · Specialization · 1 - 3 Months

  • C

    Coursera

    Using probability distributions for real world problems in R

    Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    37 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • U

    University of Michigan

    Llama for Python Programmers

    Skills you'll gain: LLM Application, Large Language Modeling, Prompt Engineering, Generative AI, Applied Machine Learning, Python Programming, Open Source Technology, JSON

    4.7
    Rating, 4.7 out of 5 stars
    ·
    19 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Data Driven Decision Making

    Skills you'll gain: Statistical Hypothesis Testing, Correlation Analysis, Statistical Analysis, Statistical Software, Probability & Statistics, Data Analysis, R (Software), Data Visualization, Statistical Inference, Variance Analysis, Sampling (Statistics)

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    31 reviews

    Intermediate · Course · 1 - 3 Months

  • 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
    ·
    17 reviews

    Intermediate · Specialization · 3 - 6 Months

  • J

    Johns Hopkins University

    Gestion de l’analyse des données

    Skills you'll gain: Data Analysis, Analytical Skills, Data Management, Exploratory Data Analysis, Statistical Reporting, Data-Driven Decision-Making, Trend Analysis, Data Presentation, Data Collection, Statistical Modeling, Data Validation, Statistical Inference, Model Evaluation, Communication

    4.5
    Rating, 4.5 out of 5 stars
    ·
    10 reviews

    Mixed · Course · 1 - 4 Weeks

  • F

    Fundação Instituto de Administração

    Data Analysis for Business

    Skills you'll gain: Business Analytics, Regression Analysis, Descriptive Statistics, Data Analysis, Data-Driven Decision-Making, Statistical Inference, Statistics, Strategic Decision-Making, Business Analysis, Statistical Analysis, Data Science, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    28 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Building Trustworthy AI

    Skills you'll gain: AI Security, Responsible AI, Threat Modeling, DevSecOps, Governance Risk Management and Compliance, Compliance Management, Data Ethics, Data Governance, Model Evaluation, Reinforcement Learning, Risk Management, Prompt Engineering, Governance, Regulatory Compliance, Security Testing, MLOps (Machine Learning Operations), MITRE ATT&CK Framework, Continuous Monitoring, Ethical Standards And Conduct, Vulnerability Assessments

    3.5
    Rating, 3.5 out of 5 stars
    ·
    11 reviews

    Intermediate · Specialization · 3 - 6 Months

1…222324…31

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

  • Aerial Image Segmentation with PyTorch : Coursera
  • What are the Chances? Probability and Uncertainty in Statistics: Johns Hopkins University
  • Introduction à l'analyse de données à l'aide d'Excel: Rice University
  • Getting Started with Machine Learning at the Edge on Arm: Arm
  • Data Science for Health Research: University of Michigan
  • Using probability distributions for real world problems in R: Coursera
  • Llama for Python Programmers: University of Michigan
  • Data Driven Decision Making: University of Colorado Boulder
  • Data-Oriented Python Programming and Debugging: University of Michigan
  • Gestion de l’analyse des données: Johns Hopkins University

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