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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
    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: Free
    Free
    D

    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
    ·
    27 reviews

    Beginner · Project · Less Than 2 Hours

  • 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
    ·
    9 reviews

    Intermediate · Course · 1 - 3 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, Image Analysis, Model Evaluation, Model Training, Artificial Neural Networks, Fine-tuning, Computer Vision, Model Optimization, Data Preprocessing, Data Processing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    13 reviews

    Intermediate · 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-Driven Decision-Making, Regression Analysis, Data Science, Statistical Inference, Predictive Analytics, Rmarkdown, Statistical Programming, Statistical Methods, Applied Machine Learning, Model Evaluation, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    10 reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pragmatic AI Labs

    Hugging Face Hub and Ecosystem Fundamentals

    Skills you'll gain: Hugging Face, Model Deployment, Transfer Learning, Fine-tuning, Large Language Modeling, Image Analysis, Applied Machine Learning, Natural Language Processing, Data Processing, Analysis, Model Evaluation

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Applied Object Detection & Segmentation

    Skills you'll gain: Model Evaluation, Model Optimization, Model Deployment, MLOps (Machine Learning Operations), Transfer Learning, Image Quality, Model Training, Image Analysis, Analysis, Computer Vision, Tensorflow, Data Quality, Failure Analysis, Data Pipelines, Deep Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Performance Analysis, Docker (Software), Python Programming

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Statistics with Python Using NumPy, Pandas, and SciPy

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

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Machine Learning with R: Build, Analyze & Predict

    Skills you'll gain: Data Analysis, Machine Learning Algorithms, Statistical Analysis, Probability & Statistics, Probability Distribution, R Programming, Machine Learning Methods, Statistical Methods, R (Software), Applied Machine Learning, Statistical Machine Learning, Statistics, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Statistical Programming, Correlation Analysis, Data Manipulation, Supervised Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Snowflake for Data Science: Intro to Snowpark ML for Python

    Skills you'll gain: Model Deployment, Snowflake Schema, Data Preprocessing, Applied Machine Learning, Machine Learning Methods, Model Training, MLOps (Machine Learning Operations), Machine Learning, Predictive Modeling, Data Pipelines, Data Transformation, Data Science, Python Programming, Regression Analysis

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Data Analysis with Minitab: Analyze & Apply

    Skills you'll gain: Minitab, Data Analysis, Statistical Hypothesis Testing, Regression Analysis, Descriptive Statistics, Statistical Analysis, Data Analysis Software, Predictive Modeling, Statistical Software, Analytics, Statistical Modeling, Descriptive Analytics, Predictive Analytics, Data-Driven Decision-Making, Statistical Reporting, Statistical Methods, Statistical Inference

    4.7
    Rating, 4.7 out of 5 stars
    ·
    15 reviews

    Mixed · Course · 1 - 4 Weeks

  • 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, Data Literacy, Matplotlib, Data Synthesis, Probability Distribution, Data Processing, Probability & Statistics, Data Integration, Performance Analysis, Statistical Analysis, LLM Application, Probability, Applied Machine Learning, Analysis, Descriptive Analytics, Reinforcement Learning, Business Analytics, Statistical Methods, Data Collection, Machine Learning

    Beginner · Specialization · 3 - 6 Months

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

  • Time, Change, and Decisions for Marketing: University of Colorado System
  • Introduction to On-Device AI: DeepLearning.AI
  • Getting Started with Machine Learning at the Edge on Arm: Arm
  • Building and Training Neural Networks with PyTorch: Packt
  • Modeling Data in the Tidyverse: Johns Hopkins University
  • Hugging Face Hub and Ecosystem Fundamentals: Pragmatic AI Labs
  • Applied Object Detection & Segmentation: Coursera
  • Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan
  • Machine Learning with R: Build, Analyze & Predict: EDUCBA
  • Snowflake for Data Science: Intro to Snowpark ML for Python: Coursera

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