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Exploratory Data Analysis Courses

Exploratory Data Analysis courses can help you learn data visualization techniques, statistical summaries, and data cleaning methods. You can build skills in identifying patterns, detecting anomalies, and interpreting results to inform decision-making. Many courses introduce tools like Python, R, and Tableau, which facilitate the analysis and presentation of data insights, allowing you to effectively communicate findings and support data-driven strategies.


Popular Exploratory Data Analysis Courses and Certifications


  • U

    University of Colorado Boulder

    Foundations of Probability and Statistics

    Skills you'll gain: Probability, Statistical Inference, Estimation, Probability & Statistics, Statistical Methods, Probability Distribution, Statistics, Markov Model, Data Literacy, Statistical Analysis, Sampling (Statistics), Applied Mathematics, Artificial Intelligence, Generative AI, Data Analysis, Data Science, Theoretical Computer Science, Machine Learning Algorithms, Mathematical Theory & Analysis

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    346 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Machine Learning Pipelines with Azure ML Studio

    Skills you'll gain: Model Deployment, Applied Machine Learning, Predictive Modeling, Microsoft Azure, No-Code Development, Machine Learning, Data Preprocessing, Cloud Deployment, Feature Engineering, Model Evaluation, Data Science, Data Analysis, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    826 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Harden AI: Patch and Recover Incidents Fast

    Skills you'll gain: Incident Response, AI Security, Incident Management, Model Deployment, Site Reliability Engineering, Patch Management, MLOps (Machine Learning Operations), System Monitoring, Problem Management, Computer Security Incident Management, Responsible AI, Continuous Monitoring, Dependency Analysis, Disaster Recovery, Anomaly Detection, Application Deployment, Automation, Dashboard

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Production AI Model Development and Ethics

    Skills you'll gain: Responsible AI, Model Deployment, Feature Engineering, MLOps (Machine Learning Operations), Model Evaluation, Data Ethics, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Scikit Learn (Machine Learning Library), Data Preprocessing, Machine Learning, Data Pipelines, Deep Learning, Software Documentation, Technical Documentation, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Evaluate & Swap Models in Java ML

    Skills you'll gain: Model Evaluation, Data Preprocessing, MLOps (Machine Learning Operations), Classification Algorithms, Applied Machine Learning, Maintainability, Machine Learning Algorithms, Java, Software Architecture, Software Design Patterns, Logistic Regression, Business Metrics, Benchmarking, Decision Tree Learning, Matrix Management, Business

    Intermediate · Course · 1 - 4 Weeks

  • S

    SAS

    Performing Network, Path, and Text Analyses in SAS Visual Analytics

    Skills you'll gain: SAS (Software), Network Analysis, Text Mining, Spatial Analysis, Data Visualization, Data Manipulation, Data Analysis, Exploratory Data Analysis, Statistical Programming, Data Preprocessing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    195 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    AI Agent Development Fundamentals

    Skills you'll gain: Generative AI Agents, Agentic systems, Prompt Engineering, AI Workflows, LLM Application, Systems Architecture, Tool Calling, Natural Language Processing, Context Management, Debugging, Verification And Validation

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google

    Google データアナリティクス

    Skills you'll gain: Rmarkdown, Data Presentation, Data Ethics, Data Storytelling, Data Visualization, Data Cleansing, Stakeholder Communications, Analytical Skills, Data-Driven Decision-Making, Interactive Data Visualization, Data Visualization Software, Data Validation, Dashboard, Ggplot2, Interviewing Skills, Case Studies, Data Access, Spreadsheet Software, Data Analysis, Data Manipulation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    614 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • D

    DeepLearning.AI

    Natural Language Processing with Attention Models

    Skills you'll gain: Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Applied Machine Learning, Keras (Neural Network Library), Embeddings, Model Evaluation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    AI Engineer Associate

    Skills you'll gain: Model Deployment, Model Evaluation, Unsupervised Learning, Transfer Learning, Tensorflow, Keras (Neural Network Library), Dimensionality Reduction, Deep Learning, Recurrent Neural Networks (RNNs), Applied Machine Learning, BeeAI, Data Preprocessing, Convolutional Neural Networks, PyTorch (Machine Learning Library), Responsible AI, Python Programming, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Feature Engineering

    Intermediate · Specialization · 1 - 3 Months

  • C

    Coursera

    Validate and Explain Your ML Models

    Intermediate · Course · 1 - 4 Weeks

  • I

    Imperial College London

    Mathematics for Machine Learning: PCA

    Skills you'll gain: Dimensionality Reduction, NumPy, Data Preprocessing, Unsupervised Learning, Feature Engineering, Jupyter, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Calculus

    4
    Rating, 4 out of 5 stars
    ·
    3.2K reviews

    Intermediate · Course · 1 - 4 Weeks

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1…204205206…834

In summary, here are 10 of our most popular exploratory data analysis courses

  • Foundations of Probability and Statistics: University of Colorado Boulder
  • Machine Learning Pipelines with Azure ML Studio: Coursera
  • Harden AI: Patch and Recover Incidents Fast: Coursera
  • Production AI Model Development and Ethics: Coursera
  • Evaluate & Swap Models in Java ML: Coursera
  • Performing Network, Path, and Text Analyses in SAS Visual Analytics: SAS
  • AI Agent Development Fundamentals: Coursera
  • Google データアナリティクス: Google
  • Natural Language Processing with Attention Models: DeepLearning.AI
  • AI Engineer Associate: Packt

Skills you can learn in Probability And Statistics

R Programming (19)
Inference (16)
Linear Regression (12)
Statistical Analysis (12)
Statistical Inference (11)
Regression Analysis (10)
Biostatistics (9)
Bayesian (7)
Logistic Regression (7)
Probability Distribution (7)
Bayesian Statistics (6)
Medical Statistics (6)

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