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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


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    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

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    Mixed · Course · 1 - 4 Weeks

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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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    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: Free
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    DeepLearning.AI

    Prompt Engineering for Vision Models

    Skills you'll gain: Prompt Engineering, Multimodal Prompts, Generative AI, Vision Transformer (ViT), Image Analysis, Computer Vision, AI Personalization, AI Workflows

    Beginner · Project · Less Than 2 Hours

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    Northeastern University

    Generative AI: Foundations and Concepts

    Skills you'll gain: Generative AI, Generative Model Architectures, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Bayesian Network, Machine Learning Methods, Mathematical Modeling, Estimation, Model Evaluation, Applied Mathematics, Dimensionality Reduction, Network Architecture, Probability & Statistics

    Intermediate · Course · 1 - 4 Weeks

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    Johns Hopkins University

    Datenanalyse verwalten

    Skills you'll gain: Statistical Modeling, Exploratory Data Analysis, Statistical Methods, Data Analysis, Data Presentation, Team Management, Analytical Skills, Data-Driven Decision-Making, Data Strategy, Statistical Inference, Communication, Communication Strategies

    Mixed · Course · 1 - 4 Weeks

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    Rice University

    Einführung in die Datenanalyse mit Excel

    Skills you'll gain: Microsoft Excel, Graphing, Spreadsheet Software, Pivot Tables And Charts, Excel Formulas, Data Analysis, Data Import/Export, Scatter Plots, Histogram, Data Presentation, Data Manipulation

    Mixed · Course · 1 - 4 Weeks

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    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

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    Packt

    Eye Tracking the User Experience: From Design to Analysis

    Skills you'll gain: User Experience, UI/UX Research, User Experience Design, Usability Testing, Design Research, Data Visualization, Usability, User Centered Design, User Research, Interactive Data Visualization, Data Analysis, Qualitative Research, Quantitative Research, Data Preprocessing, Statistical Inference

    Beginner · Course · 3 - 6 Months

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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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    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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    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

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

  • Machine Learning with R: Build, Analyze & Predict: EDUCBA
  • Mastering Streamlined Syntax: Efficient Kotlin Coding: Coursera
  • Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan
  • Prompt Engineering for Vision Models: DeepLearning.AI
  • Generative AI: Foundations and Concepts: Northeastern University
  • Datenanalyse verwalten: Johns Hopkins University
  • Einführung in die Datenanalyse mit Excel: Rice University
  • Engineering Probability and Statistics Part 2: Northeastern University
  • Eye Tracking the User Experience: From Design to Analysis: Packt
  • Modern Java - Mastering Features from Java 8 to Java 21: Packt

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