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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
    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
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Science Methods for Quality Improvement

    Skills you'll gain: Process Capability, Sampling (Statistics), R (Software), Correlation Analysis, Statistical Inference, Probability Distribution, Statistical Visualization, R Programming, Statistical Process Controls, Statistical Hypothesis Testing, Statistical Methods, Data Science, Statistics, Data Analysis, Statistical Analysis, Data Analysis Software, Probability, Descriptive Statistics, Quality Improvement, Process Engineering

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    53 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free
    Free
    D

    DeepLearning.AI

    Efficiently Serving LLMs

    Skills you'll gain: LLM Application, Large Language Modeling, Transfer Learning, Performance Tuning, Generative AI

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: Preview
    Preview
    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, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Machine Learning with R: Build, Analyze & Predict

    Skills you'll gain: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Model Evaluation, Decision Tree Learning

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    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, Probability & Statistics, Statistical Analysis, Experimentation, Data Analysis, Data Presentation, Estimation

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SkillUp

    The DMAIC Framework: Analyze, Improve, and Control Phase

    Skills you'll gain: Exploratory Data Analysis, Statistical Process Controls, Six Sigma Methodology, Statistical Hypothesis Testing, Lean Six Sigma, Statistical Analysis, Continuous Improvement Process, Data Analysis, Process Improvement, Process Capability, Quality Control, Root Cause Analysis, Statistical Inference, Regression Analysis, Correlation Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals Part 2: Unit 3

    Skills you'll gain: Predictive Modeling, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Statistical Inference, Business Analytics, Data Analysis, Statistical Analysis, Probability Distribution, Estimation, Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Snowflake for Data Science: Intro to Snowpark ML for Python

    Skills you'll gain: Model Deployment, Data Preprocessing, Applied Machine Learning, Machine Learning Methods, Machine Learning, Predictive Modeling, Feature Engineering, Data Pipelines, Data Transformation, Data Science, Python Programming, Regression Analysis

    Intermediate · Guided Project · Less Than 2 Hours

  • 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: Preview
    Preview
    D

    Duke University

    R을 사용한 확률 및 데이터 소개

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

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Building and Training Neural Networks with PyTorch

    Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Classification Algorithms, Transfer Learning, Applied Machine Learning, Image Analysis, Model Evaluation, Artificial Neural Networks, Computer Vision, Data Preprocessing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Particle Filters (and Navigation): University of Colorado System
  • Data Science Methods for Quality Improvement: University of Colorado Boulder
  • Efficiently Serving LLMs: DeepLearning.AI
  • Getting Started with Machine Learning at the Edge on Arm: Arm
  • Machine Learning with R: Build, Analyze & Predict: EDUCBA
  • Engineering Probability and Statistics Part 2: Northeastern University
  • The DMAIC Framework: Analyze, Improve, and Control Phase: SkillUp
  • Data Science Fundamentals Part 2: Unit 3: Pearson
  • Snowflake for Data Science: Intro to Snowpark ML for Python: Coursera
  • Data-Oriented Python Programming and Debugging: University of Michigan

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