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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
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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, Prompt Patterns, Generative Model Architectures, Large Language Modeling, AI Security, Open Source Technology, Responsible AI, Embeddings, Fine-tuning, Natural Language Processing

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Time, Change, and Decisions for Marketing

    Skills you'll gain: Marketing Analytics, Data-Driven Marketing, Anomaly Detection, Advanced Analytics, Bayesian Network, Data-Driven Decision-Making, Forecasting, Marketing Strategies, Strategic Decision-Making, Time Series Analysis and Forecasting, Markov Model, Simulation and Simulation Software, Predictive Analytics, Predictive Modeling, Customer Engagement, Bayesian Statistics, Customer Retention, Consumer Behaviour, Decision Making, Autoencoders

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Foundations of Open Generative AI Engineering

    Skills you'll gain: Generative Model Architectures, Large Language Modeling, Generative AI, LLM Application, Open Source Technology, Model Evaluation, Data Security

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    L

    LearnKartS

    Introduction to AI and Machine Learning

    Skills you'll gain: AWS SageMaker, Data Preprocessing, Computer Vision, Machine Learning Methods, AI Workflows, Machine Learning Algorithms, Applied Machine Learning, Natural Language Processing, Machine Learning, Data Wrangling, Amazon Web Services, Reinforcement Learning, Deep Learning, Artificial Intelligence, Model Training, Amazon Elastic Compute Cloud, Model Deployment, Amazon S3, Serverless Computing

    4.4
    Rating, 4.4 out of 5 stars
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    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    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, Correlation Analysis, Statistical Analysis, Data Analysis, Probability & Statistics, Analysis, Statistical Methods, Statistical Inference, Statistics, Psychology, Regression Analysis, Research

    Beginner · Course · 1 - 3 Months

  • Status: Free
    Free
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    DeepLearning.AI

    Introduction to On-Device AI

    Skills you'll gain: Model Deployment, Cloud Deployment, Performance Testing, Android Development, Model Optimization, Model Evaluation, Image Analysis, PyTorch (Machine Learning Library), AI Integrations, Tensorflow, Hardware Architecture, Artificial Neural Networks, Artificial Intelligence

    4.4
    Rating, 4.4 out of 5 stars
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    27 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Preview
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    D

    Duke University

    End to End LLMs with Azure

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

    2.5
    Rating, 2.5 out of 5 stars
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    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Evaluate LLMs: Test and Prove Significance

    Skills you'll gain: Statistical Visualization, Model Evaluation, Data Presentation, Scientific Visualization, Statistical Hypothesis Testing, Model Deployment, Statistical Analysis, Statistical Software, Data Storytelling, Large Language Modeling, Statistical Methods, Data-Driven Decision-Making, Statistical Programming, Matplotlib, Statistical Inference, Statistics, Experimentation, Performance Metric

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    A

    Arm

    Getting Started with Machine Learning at the Edge on Arm

    Skills you'll gain: Embedded Systems, Tensorflow, Applied Machine Learning, Data Processing, Embedded Software, Data Preprocessing, Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Software, Machine Learning Methods, Artificial Neural Networks, Machine Learning Algorithms, Model Training, Convolutional Neural Networks, Feature Engineering, Computer Vision, Deep Learning, Image Analysis, Machine Learning, Model Deployment

    4.2
    Rating, 4.2 out of 5 stars
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    9 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Coursera

    Secure AI: Threat Model & Test Endpoints

    Skills you'll gain: Threat Modeling, AI Security, DevSecOps, Security Testing, Continuous Monitoring, CI/CD, Threat Detection, DevOps, Continuous Integration, Test Script Development, API Testing, Endpoint Security, Scripting, Unit Testing, Scripting Languages, Exploitation techniques, Integration Testing, Data Validation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    American Psychological Association

    t-Tests of Hypotheses About Means

    Skills you'll gain: Sample Size Determination, Statistical Hypothesis Testing, Statistical Methods, Statistical Reporting, Quantitative Research, Statistical Analysis, Probability & Statistics, Sampling (Statistics), Statistical Inference, Descriptive Statistics, Statistics, Probability Distribution, Data Analysis, Regression Analysis, Research Design, Research, Psychology

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Modeling Data in the Tidyverse

    Skills you'll gain: Statistical Modeling, Exploratory Data Analysis, R Programming, Predictive Modeling, Sampling (Statistics), Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data Modeling, Data-Driven Decision-Making, Regression Analysis, Data Science, Statistical Inference, Predictive Analytics, Rmarkdown, Statistical Methods, Applied Machine Learning, Model Evaluation, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    10 reviews

    Mixed · Course · 1 - 3 Months

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

  • Introduction to Generative AI: Concepts and Techniques: Alberta Machine Intelligence Institute
  • Time, Change, and Decisions for Marketing: University of Colorado System
  • Foundations of Open Generative AI Engineering: Coursera
  • Introduction to AI and Machine Learning: LearnKartS
  • Chi-Square Tests of Hypotheses About Frequency Tables: American Psychological Association
  • Introduction to On-Device AI: DeepLearning.AI
  • End to End LLMs with Azure: Duke University
  • Evaluate LLMs: Test and Prove Significance: Coursera
  • Getting Started with Machine Learning at the Edge on Arm: Arm
  • Secure AI: Threat Model & Test Endpoints: Coursera

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