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    • Causal Inference

    Causal Inference Courses Online

    Explore causal inference methods for determining cause-and-effect relationships. Learn to apply statistical techniques to identify causality in data.

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    Explore the Causal Inference Course Catalog

    • Status: Free Trial
      Free Trial
      P

      Packt

      Intermediate Data Manipulation and Machine Learning

      Skills you'll gain: Reinforcement Learning, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction, Statistical Analysis, Classification And Regression Tree (CART), Supervised Learning, Unsupervised Learning, Predictive Modeling, Random Forest Algorithm, Feature Engineering, Data Manipulation

      Intermediate · Course · 3 - 6 Months

    • 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 Cleansing, Data Import/Export

      4.5
      Rating, 4.5 out of 5 stars
      ·
      20 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Building and Training Neural Networks with PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Artificial Neural Networks, Computer Vision, Deep Learning, Image Analysis, Machine Learning Methods, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Exploratory Data Analysis, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      J

      Johns Hopkins University

      Introduction to Uncertainty Quantification

      Skills you'll gain: Probability, Bayesian Statistics, Probability Distribution, Risk Modeling, Mathematical Modeling, Statistical Inference, Markov Model, Reliability, Simulations, Applied Mathematics, Statistical Analysis, Regression Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      U

      Universiteit Leiden

      Population Health: Study Design

      Skills you'll gain: Data Analysis, Research Design, Epidemiology, Statistical Analysis, Clinical Research, Quantitative Research, Public Health, Health Care, Research Methodologies, Statistics, Risk Analysis

      4.3
      Rating, 4.3 out of 5 stars
      ·
      21 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Using probability distributions for real world problems in R

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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      30 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Preview
      Preview
      G

      Google Cloud

      Using BigQuery Machine Learning for inference

      Skills you'll gain: Data Analysis, Big Data, Applied Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Machine Learning

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      M

      Macquarie University

      Statistics and Data Analysis with Excel: Essentials

      Skills you'll gain: Microsoft Excel, Statistics, Excel Formulas, Statistical Hypothesis Testing, Descriptive Statistics, Data Analysis, Statistical Inference, Data Visualization, Box Plots, Histogram, Statistical Methods, Data Visualization Software, Variance Analysis, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 3 Months

    • P

      Packt

      R Programming for Statistics and Data Science

      Skills you'll gain: R Programming, Statistical Hypothesis Testing, Ggplot2, Data Visualization, Data Manipulation, Exploratory Data Analysis, Tidyverse (R Package), Statistical Modeling, Data Analysis, Regression Analysis, Data Structures, Data Wrangling, Statistical Analysis, Descriptive Statistics, Programming Principles, Data Transformation, Statistical Inference, Probability & Statistics

      4.3
      Rating, 4.3 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Aerial Image Segmentation with PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Computer Vision, Deep Learning, Python Programming

      4
      Rating, 4 out of 5 stars
      ·
      29 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Preview
      Preview
      U

      Universidad Nacional Autónoma de México

      Estadística y probabilidad: principios de Inferencia

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

      3.1
      Rating, 3.1 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Linear Regression

      Skills you'll gain: Statistical Inference, Regression Analysis, R Programming, Statistical Analysis, Statistical Modeling, Data Analysis, Probability & Statistics, Linear Algebra

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      26 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Intermediate Data Manipulation and Machine Learning: Packt
    • Introduction à l'analyse de données à l'aide d'Excel: Rice University
    • Building and Training Neural Networks with PyTorch: Packt
    • Introduction to Uncertainty Quantification: Johns Hopkins University
    • Population Health: Study Design: Universiteit Leiden
    • Using probability distributions for real world problems in R: Coursera Project Network
    • Using BigQuery Machine Learning for inference: Google Cloud
    • Statistics and Data Analysis with Excel: Essentials: Macquarie University
    • R Programming for Statistics and Data Science: Packt
    • Aerial Image Segmentation with PyTorch : Coursera Project Network

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