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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.


More to explore:

Popular Causal Inference Courses and Certifications


  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Probabilistic Deep Learning with TensorFlow 2

    Skills you'll gain: Tensorflow, Autoencoders, Generative Model Architectures, Deep Learning, Applied Machine Learning, Image Analysis, Bayesian Statistics, Probability Distribution, Unsupervised Learning, Sampling (Statistics)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    109 reviews

    Advanced · Course · 1 - 3 Months

  • I

    IBM

    Specialized Models: Time Series and Survival Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Data Preprocessing, Jupyter, Applied Machine Learning, Data Transformation, Model Evaluation, Pandas (Python Package), Unsupervised Learning, Dimensionality Reduction

    4.5
    Rating, 4.5 out of 5 stars
    ·
    137 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    American Psychological Association

    Basic Inferential Statistics for Psychology

    Skills you'll gain: Sample Size Determination, Statistical Hypothesis Testing, Probability & Statistics, Statistical Methods, Probability Distribution, Quantitative Research, Statistical Analysis, Statistical Software, Statistical Inference, Sampling (Statistics), Data Analysis, Analysis, Statistics, Probability, Analytical Skills, Regression Analysis, Psychology, Research Design, Research

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Modeling Data in the Tidyverse

    Skills you'll gain: Statistical Modeling, Exploratory Data Analysis, R Programming, Predictive Modeling, Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data Modeling, Regression Analysis, Data Science, Classification And Regression Tree (CART), Statistical Inference, Statistical Analysis, Rmarkdown, Data Preprocessing, Statistical Methods, Model Evaluation, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    10 reviews

    Mixed · Course · 1 - 3 Months

  • 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 R

    Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Statistical Modeling, Statistical Methods, Tidyverse (R Package), Data Literacy, Plot (Graphics), Statistics, Data Manipulation, Data Analysis, Statistical Inference, Data Structures

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    N

    National Taiwan University

    商管統計資料分析一 (Analytics for Business and Management (I))

    Skills you'll gain: Exploratory Data Analysis, Regression Analysis, R Programming, Statistical Analysis, Statistical Modeling, Business Analytics, Analytics, Data Analysis, Statistics, Statistical Methods, Feature Engineering, Statistical Inference, Data Transformation, Model Evaluation

    Intermediate · Course · 1 - 3 Months

  • 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

    4.3
    Rating, 4.3 out of 5 stars
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    47 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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: Preview
    Preview
    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

  • 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

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

  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
  • Specialized Models: Time Series and Survival Analysis: IBM
  • Basic Inferential Statistics for Psychology: American Psychological Association
  • Modeling Data in the Tidyverse: Johns Hopkins University
  • Statistical Methods for Computer Science: Johns Hopkins University
  • Data Collection and Root Cause Analysis: SkillUp
  • Statistics and Data Analysis with R: University of Colorado Boulder
  • 商管統計資料分析一 (Analytics for Business and Management (I)): National Taiwan University
  • Operationalizing LLMs on Azure: Duke University
  • System Dynamics: Fundação Instituto de Administração

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