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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: New
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    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
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    13 reviews

    Mixed · Course · 1 - 4 Weeks

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    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
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    American Psychological Association

    Chi-Square Tests of Hypotheses About Frequency Tables

    Skills you'll gain: Statistical Hypothesis Testing, Quantitative Research, Statistical Software, Statistical Analysis, Data Analysis, Probability & Statistics, Analysis, Statistical Methods, Statistical Inference, Analytical Skills, Statistics, Psychology, Regression Analysis, Research

    Beginner · Course · 1 - 3 Months

  • Status: Free
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    DeepLearning.AI

    Quantization in Depth

    Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
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    6 reviews

    Intermediate · Project · Less Than 2 Hours

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    University of Colorado System

    Linear Kalman Filter Deep Dive (and Target Tracking)

    Skills you'll gain: Estimation, Advanced Mathematics, Mathematical Modeling, Control Systems, Matlab, Linear Algebra, Statistical Methods, Predictive Analytics, Applied Mathematics, Time Series Analysis and Forecasting, Forecasting, Probability & Statistics

    Intermediate · Course · 1 - 4 Weeks

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    Johns Hopkins University

    Ein Crashkurs in Datenwissenschaft

    Skills you'll gain: Data Science, Data Management, Organizational Effectiveness, Data Analysis, Data-Driven Decision-Making, Project Design, Data Presentation, Exploratory Data Analysis, Machine Learning, Predictive Modeling, Statistical Inference

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    AI & Machine Learning: Apply, Build & Solve

    Skills you'll gain: Artificial Intelligence, Bayesian Network, Applied Machine Learning, Computational Logic, Machine Learning, Unsupervised Learning, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Markov Model, Algorithms, Probability & Statistics, Decision Making

    Mixed · Course · 1 - 3 Months

  • Status: Free
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    Coursera

    Mastering Streamlined Syntax: Efficient Kotlin Coding

    Skills you'll gain: Kotlin, IntelliJ IDEA

    Intermediate · Guided Project · Less Than 2 Hours

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    Whizlabs

    AWS: Model Training , Optimization & Deployment

    Skills you'll gain: Model Deployment, Cloud Deployment, Amazon Elastic Compute Cloud, Model Evaluation, Continuous Deployment, Continuous Integration, Debugging

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Modern Java - Mastering Features from Java 8 to Java 21

    Skills you'll gain: JUnit, Restful API, Software Design, JSON, Software Testing

    Intermediate · Course · 3 - 6 Months

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    Simplilearn

    Image Generation with AI Training Course

    Skills you'll gain: Autoencoders, Generative AI, Embeddings, Generative Model Architectures, Prompt Engineering, Image Analysis, Unsupervised Learning, PyTorch (Machine Learning Library), Transfer Learning

    Beginner · Course · 1 - 4 Weeks

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    Alberta Machine Intelligence Institute

    Introduction to Generative AI: Concepts and Techniques

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Generative AI, Generative Model Architectures, Large Language Modeling, ChatGPT, OpenAI API, Open Source Technology, Responsible AI, Embeddings, Artificial Intelligence, Data Ethics, Natural Language Processing, Information Privacy

    Mixed · Course · 1 - 4 Weeks

Searches related to causal inference

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

  • Data Science with Python: Analyze & Visualize: EDUCBA
  • Data Visualization and Modeling in Python: Duke University
  • Chi-Square Tests of Hypotheses About Frequency Tables: American Psychological Association
  • Quantization in Depth: DeepLearning.AI
  • Linear Kalman Filter Deep Dive (and Target Tracking): University of Colorado System
  • Ein Crashkurs in Datenwissenschaft: Johns Hopkins University
  • AI & Machine Learning: Apply, Build & Solve: EDUCBA
  • Mastering Streamlined Syntax: Efficient Kotlin Coding: Coursera
  • AWS: Model Training , Optimization & Deployment: Whizlabs
  • Modern Java - Mastering Features from Java 8 to Java 21: Packt

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