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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


  • Status: New
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    Google

    AI for Research and Insights

    Skills you'll gain: Google Gemini, AI literacy, Prompt Patterns, Prompt Engineering Tools, AI Enablement, Generative AI, Generative AI Agents, Artificial Intelligence, AI Personalization, AI Workflows, Ideation, Decision Support Systems, Responsible AI, Google Workspace

    4.8
    Rating, 4.8 out of 5 stars
    ·
    171 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    G

    Google

    Design Prompts for Everyday Work Tasks

    Skills you'll gain: Prompt Engineering, Context Engineering, AI literacy, Brainstorming, AI powered creativity, Email Automation, Ideation, Timelines, AI Enablement, LLM Application, Taking Meeting Minutes, Concision, Business Writing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    C

    Coursera

    Optimize and Deploy Edge AI Models

    Skills you'll gain: Model Optimization, Model Deployment, MLOps (Machine Learning Operations), Tensorflow, Performance Analysis, Applied Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    AI for Project Reporting, Dashboards and Risk

    Skills you'll gain: Stakeholder Communications, Dashboard, Dashboard Creation, Data Import/Export, Management Reporting, Model Evaluation, AI literacy, Stakeholder Engagement, Prompt Engineering, Data-Driven Decision-Making, Timelines, Report Writing, Responsible AI, Business Reporting, Extract, Transform, Load, Project Documentation, Data Transformation, Data Presentation, AI Enablement, Risk Management

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Business Applications of Hypothesis Testing and Confidence Interval Estimation

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Sample Size Determination, Business Mathematics, Statistical Inference, Estimation, Business Analytics, Statistics, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Microsoft Excel, Excel Formulas, Probability Distribution, Data Analysis, Decision Making

    4.8
    Rating, 4.8 out of 5 stars
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    1.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Validate and Explain Your ML Models

    Skills you'll gain: Verification And Validation, Sampling (Statistics), Statistical Machine Learning, Test Data, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    The Structured Query Language (SQL)

    Skills you'll gain: SQL, Database Theory, Database Management, Query Languages, Database Design, Relational Databases, Database Administration, Database Application, Database Development, Data Science, Data Analysis, Data Manipulation, Data Integrity

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
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    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
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    C

    Coursera

    Predict and Validate Regression Models in R

    Skills you'll gain: Regression Analysis, Predictive Modeling, Model Evaluation, Statistical Modeling, Predictive Analytics, R Programming, Financial Forecasting, Statistical Methods, Model Training, Data Validation, Verification And Validation, Plot (Graphics), Performance Metric

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
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    K

    KodeKloud

    Deploy ML Models to Production

    Skills you'll gain: AWS SageMaker, Model Deployment, MLOps (Machine Learning Operations), Data Governance, Data Management, Model Training, Data Security, Amazon Web Services, Application Deployment, General Data Protection Regulation (GDPR), Model Optimization, Information Privacy

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Introduction and Applications

    Skills you'll gain: Generative AI, Generative Model Architectures, ChatGPT, AI literacy, Artificial Intelligence and Machine Learning (AI/ML), Augmented and Virtual Reality (AR/VR), Machine Learning, Data Synthesis

    4.6
    Rating, 4.6 out of 5 stars
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    4.3K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    C

    Coursera

    Build Predictive & Supervised Models

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Model Training, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Performance Metric, Machine Learning Algorithms, Regression Analysis, Continuous Monitoring, Statistical Methods

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
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    C

    Coursera

    Evaluate, Analyze, and Model Performance

    Skills you'll gain: Performance Metric, Predictive Modeling, Data-Driven Decision-Making, Failure Analysis, Statistical Analysis, Statistical Hypothesis Testing, Sampling (Statistics)

    Intermediate · Course · 1 - 4 Weeks

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

  • AI for Research and Insights: Google
  • Design Prompts for Everyday Work Tasks: Google
  • Optimize and Deploy Edge AI Models: Coursera
  • AI for Project Reporting, Dashboards and Risk: Coursera
  • Business Applications of Hypothesis Testing and Confidence Interval Estimation : Rice University
  • Validate and Explain Your ML Models: Coursera
  • The Structured Query Language (SQL): University of Colorado Boulder
  • Predict and Validate Regression Models in R: Coursera
  • Deploy ML Models to Production: KodeKloud
  • Generative AI: Introduction and Applications: IBM

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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