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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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    Arm

    Getting Started with Machine Learning at the Edge on Arm

    Skills you'll gain: Embedded Systems, Tensorflow, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Algorithms, Convolutional Neural Networks, Computer Vision, Deep Learning, Image Analysis, Machine Learning, Model Deployment, Model Evaluation, Performance Tuning

    4.2
    Rating, 4.2 out of 5 stars
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    9 reviews

    Intermediate · Course · 1 - 3 Months

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    LearnKartS

    Introduction to AI and Machine Learning

    Skills you'll gain: AWS SageMaker, Data Preprocessing, Computer Vision, Natural Language Processing, Machine Learning, Data Wrangling, Reinforcement Learning, Artificial Intelligence, Model Deployment

    4.4
    Rating, 4.4 out of 5 stars
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    9 reviews

    Beginner · 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

  • Status: Free Trial
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    U

    University of California San Diego

    Hacking COVID-19 — Course 3: Unraveling COVID-19's Origins

    Skills you'll gain: Bioinformatics, Molecular Biology, Infectious Diseases, Computational Thinking, Life Sciences, Medical Science and Research, Microbiology

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    SkillUp

    The DMAIC Framework: Analyze, Improve, and Control Phase

    Skills you'll gain: Exploratory Data Analysis, Statistical Process Controls, Six Sigma Methodology, Statistical Hypothesis Testing, Lean Six Sigma, Statistical Analysis, Continuous Improvement Process, Data Analysis, Process Improvement, Process Capability, Quality Control, Root Cause Analysis, Statistical Inference, Regression Analysis, Correlation Analysis

    4.5
    Rating, 4.5 out of 5 stars
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    14 reviews

    Beginner · Course · 1 - 3 Months

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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: New
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    EDUCBA

    Data Analysis with Minitab: Analyze & Apply

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

    Mixed · Course · 1 - 4 Weeks

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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

  • 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

  • Status: New
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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

    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

  • Status: Free Trial
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    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

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

  • Getting Started with Machine Learning at the Edge on Arm: Arm
  • Introduction to AI and Machine Learning: LearnKartS
  • Ein Crashkurs in Datenwissenschaft: Johns Hopkins University
  • Hacking COVID-19 — Course 3: Unraveling COVID-19's Origins: University of California San Diego
  • The DMAIC Framework: Analyze, Improve, and Control Phase: SkillUp
  • Data Visualization and Modeling in Python: Duke University
  • Data Analysis with Minitab: Analyze & Apply: EDUCBA
  • Image Generation with AI Training Course: Simplilearn
  • Prompt Engineering for Vision Models: DeepLearning.AI
  • AWS: Model Training , Optimization & Deployment: Whizlabs

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