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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
    D

    Duke University

    Data Visualization and Modeling in Python

    Skills you'll gain: Matplotlib, Data Visualization, Predictive Modeling, Pandas (Python Package), Data Visualization Software, Predictive Analytics, Regression Analysis, Data Analysis, Data Cleansing, Data Science, Machine Learning Algorithms, Statistical Inference, Statistical Modeling, Probability & Statistics, Classification Algorithms, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    DP-100 Microsoft Azure DS Exam

    Skills you'll gain: Microsoft Azure, Model Deployment, MLOps (Machine Learning Operations), Cloud Computing, Data Pipelines, Application Deployment, Cloud Computing Architecture, Data Management, Virtual Machines, Machine Learning Algorithms, Development Environment

    4.6
    Rating, 4.6 out of 5 stars
    ·
    29 reviews

    Intermediate · Course · 1 - 4 Weeks

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

    EDUCBA

    Data Science with Python: Analyze & Visualize

    Skills you'll gain: Box Plots, Data Science, Histogram, Statistical Analysis, Statistical Methods, Data Preprocessing, Probability & Statistics, Data Analysis, Data Visualization Software, Bayesian Statistics, Scatter Plots, Scripting, Python Programming, Machine Learning Algorithms, Data Manipulation, Statistical Inference, Regression Analysis

    5
    Rating, 5 out of 5 stars
    ·
    14 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Statistics with Python Using NumPy, Pandas, and SciPy

    Skills you'll gain: Statistics, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    D

    Duke University

    R을 사용한 확률 및 데이터 소개

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

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    R

    Real Madrid Graduate School Universidad Europea

    Maximum Performance and Technology in Sports

    Skills you'll gain: Data Presentation, Matplotlib, Data Synthesis, Probability Distribution, Data Processing, Data Integration, Data Literacy, Performance Analysis, Exploratory Data Analysis, Statistical Analysis, Probability, Analysis, Image Analysis, Data Cleansing, Descriptive Analytics, Reinforcement Learning, Business Analytics, Statistical Methods, Machine Learning, Data Collection

    Beginner · Specialization · 3 - 6 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
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    9 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Network Modeling and Analysis in Python

    Skills you'll gain: Social Network Analysis, Bayesian Network, Data Analysis, Python Programming, Probability Distribution

    Advanced · 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: Preview
    Preview
    D

    Duke University

    End to End LLMs with Azure

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

    2.5
    Rating, 2.5 out of 5 stars
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    6 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
    U

    University of Colorado System

    Time, Change, and Decisions for Marketing

    Skills you'll gain: Marketing Analytics, Anomaly Detection, Advanced Analytics, Bayesian Network, Data-Driven Decision-Making, Forecasting, Marketing Strategies, Strategic Decision-Making, Strategic Leadership, Time Series Analysis and Forecasting, Statistical Modeling, Simulation and Simulation Software, Predictive Analytics, Customer Retention, Reinforcement Learning

    Intermediate · Course · 1 - 4 Weeks

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

  • Data Visualization and Modeling in Python: Duke University
  • DP-100 Microsoft Azure DS Exam: EDUCBA
  • Data Science with Python: Analyze & Visualize: EDUCBA
  • Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan
  • R을 사용한 확률 및 데이터 소개: Duke University
  • Maximum Performance and Technology in Sports: Real Madrid Graduate School Universidad Europea
  • Building and Training Neural Networks with PyTorch: Packt
  • Network Modeling and Analysis in Python: University of Michigan
  • Snowflake for Data Science: Intro to Snowpark ML for Python: Coursera
  • End to End LLMs with Azure: Duke University

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