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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


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    LearnQuest

    Foundations of No-Code AI for Real-World Applications

    Skills you'll gain: Data Ethics, No-Code Development, Model Deployment, Data Cleansing, Data Preprocessing, Artificial Intelligence, Machine Learning, Business Metrics, Data Storytelling, User Experience Design, Generative AI, Business Analytics, Regulation and Legal Compliance, AI Workflows, Scalability, Data Validation, Dashboard, Automation, Stakeholder Engagement

    Beginner · Course · 1 - 4 Weeks

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    DeepLearning.AI

    신경망 및 딥 러닝

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Convolutional Neural Networks, Supervised Learning, Applied Machine Learning, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning, NumPy, Performance Tuning, Linear Algebra

    5
    Rating, 5 out of 5 stars
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    6 reviews

    Intermediate · Course · 1 - 4 Weeks

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    CertNexus

    Build Regression, Classification, and Clustering Models

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Regression Analysis, Classification Algorithms, Machine Learning Algorithms, Linear Algebra, Machine Learning, Predictive Modeling, Statistical Modeling, Supervised Learning, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
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    18 reviews

    Intermediate · Course · 1 - 3 Months

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    Coursera

    GenAI in Litigation and Dispute Resolution

    Skills you'll gain: Responsible AI, Legal Technology, Legal Research, Litigation Support, Client Services, Mediation, Legal Strategy, Generative AI, Predictive Modeling, Artificial Intelligence, AI Workflows, Document Management, Automation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Status: AI skills
    AI skills
    I

    IBM

    IBM DevOps and Software Engineering

    Skills you'll gain: Cloud Deployment, CI/CD, Software Development Life Cycle, Open Web Application Security Project (OWASP), Continuous Integration, Istio, Linux Commands, Software Architecture, Agile Software Development, Cloud Computing Architecture, Application Deployment, Test Driven Development (TDD), Kubernetes, Restful API, Git (Version Control System), DevOps, Grafana, Software Engineering, Data Import/Export, Application Development

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    64K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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    Packt

    DeepSeek R1 AI: 25 Real World Projects in AI for Beginners

    Skills you'll gain: Email Automation, People Analytics, Job Analysis, Business Analysis, Grammar, Customer Support, Debugging

    Beginner · Course · 1 - 3 Months

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    Coursera

    AI in Workforce Management

    Skills you'll gain: AI Enablement, AI Product Strategy, Workforce Management, Human Resources Management and Planning, Human Resource Strategy, Workforce Planning, Responsible AI, Resource Management, Performance Improvement, Employee Performance Management, Strategic Decision-Making, Operational Efficiency, Data-Driven Decision-Making, Process Optimization, Strategic Planning, Business Ethics

    4.8
    Rating, 4.8 out of 5 stars
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    17 reviews

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    PySpark: Apply & Evaluate Predictive ML Models

    Skills you'll gain: Model Evaluation, PySpark, Apache Spark, Logistic Regression, Predictive Modeling, Applied Machine Learning, Unsupervised Learning, Decision Tree Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Machine Learning Algorithms, Data Pipelines

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    CloverETL: Design, Analyze & Optimize Workflows

    Skills you'll gain: Data Mapping, Extract, Transform, Load, Data Validation, Workflow Management, JSON, Fraud detection, Extensible Markup Language (XML), Metadata Management, Process Design, Data Integration, Data Cleansing, Data Transformation, Data Pipelines, Data Processing, Data Modeling, Data Analysis

    Mixed · Course · 1 - 4 Weeks

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    Coursera

    GenAI for Talent Acquisition: Smarter Candidate Screening

    Skills you'll gain: Prompt Engineering, Applicant Tracking Systems, Google Gemini, Talent Acquisition, Recruitment, HR Tech, Generative AI, Microsoft Power Automate/Flow, ChatGPT, Business Process Automation, Automation, Diversity Equity and Inclusion Initiatives, Ethical Standards And Conduct

    4.8
    Rating, 4.8 out of 5 stars
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    6 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Edureka

    Generative AI and Prompt Engineering Essentials

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Large Language Modeling, ChatGPT, Generative Model Architectures, LLM Application, Responsible AI, AI Security, Model Evaluation, Natural Language Processing, Artificial Intelligence, Model Deployment, Context Management

    4.4
    Rating, 4.4 out of 5 stars
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    8 reviews

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Evaluating Large Language Model Outputs: A Practical Guide

    Skills you'll gain: Responsible AI, Large Language Modeling, Model Evaluation, Generative AI, Data Ethics, Google Cloud Platform, Quality Assessment, Image Quality, Human Factors, Performance Metric

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Foundations of No-Code AI for Real-World Applications: LearnQuest
  • 신경망 및 딥 러닝: DeepLearning.AI
  • Build Regression, Classification, and Clustering Models: CertNexus
  • GenAI in Litigation and Dispute Resolution: Coursera
  • IBM DevOps and Software Engineering: IBM
  • DeepSeek R1 AI: 25 Real World Projects in AI for Beginners: Packt
  • AI in Workforce Management: Coursera
  • PySpark: Apply & Evaluate Predictive ML Models: EDUCBA
  • CloverETL: Design, Analyze & Optimize Workflows: EDUCBA
  • GenAI for Talent Acquisition: Smarter Candidate Screening: Coursera

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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