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  • Exploratory Data Analysis

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: Trending in AI
    Trending in AI
    I

    IBM

    IBM AI Developer

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Software Development Life Cycle, Retrieval-Augmented Generation, Software Architecture, Computer Vision, LangChain, ChatGPT, Restful API, Responsive Web Design, Generative AI, Responsible AI, IBM Cloud, Data Ethics, Data Import/Export, AI Workflows, Python Programming, Engineering Software, Machine Learning, Data Science

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    81K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Y

    Yale University

    Introduction to Psychology

    Skills you'll gain: Psychology, Human Development, Clinical Psychology, Mental Health, Psychiatry, Human Learning, Child Development, Neurology, Culture, Social Sciences, Critical Thinking, Scientific Methods, Problem Solving

    4.9
    Rating, 4.9 out of 5 stars
    ·
    33K reviews

    Beginner · Course · 1 - 3 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

  • 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

  • C

    Coursera

    ML Production Systems

    Skills you'll gain: Model Deployment, Unit Testing, MLOps (Machine Learning Operations), Test Driven Development (TDD), Software Testing, Scalability, Dashboard, Feature Engineering, Continuous Integration, Kubernetes, Scikit Learn (Machine Learning Library), CI/CD, Performance Tuning, Tensorflow, Python Programming, Software Engineering, PyTorch (Machine Learning Library), Docker (Software), Containerization, Git (Version Control System)

    Intermediate · Specialization · 1 - 3 Months

  • C

    Coursera

    Power BI for Beginners: Interactive Dashboard Fundamentals

    Skills you'll gain: Key Performance Indicators (KPIs), Power BI, Dashboard, Data Visualization, Interactive Data Visualization, Data Storytelling, Data Presentation, Business Metrics, Performance Analysis, Data Visualization Software, Data Import/Export, Business Intelligence, Regional Sales, Sales Presentation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    74 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • U

    University of Washington

    Computational Neuroscience

    Skills you'll gain: Network Model, Supervised Learning, Machine Learning Algorithms, Artificial Neural Networks, Reinforcement Learning, Matlab, Mathematical Modeling, Computational Thinking, Recurrent Neural Networks (RNNs), Applied Mathematics, Physiology, Biology, Linear Algebra, Differential Equations, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • W

    Whizlabs

    Fundamentals of Machine Learning

    Skills you'll gain: Supervised Learning, Unsupervised Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, AWS SageMaker, Data Preprocessing, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Azure DevOps, Model Deployment, Microsoft Azure, Amazon Web Services, Deep Learning, Data Processing

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Optimize and Manage Your ML Codebase

    Skills you'll gain: MLOps (Machine Learning Operations), Version Control, Model Deployment, CI/CD, Git (Version Control System), Continuous Deployment, Performance Tuning, Continuous Integration, Software Development Methodologies, Software Versioning, Release Management, Continuous Delivery, PyTorch (Machine Learning Library), Performance Improvement, Software Testing

    Intermediate · Course · 1 - 4 Weeks

  • V

    Vanderbilt University

    Generative AI SQL Database Specialist with ChatGPT

    Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, Database Design, LLM Application, Productivity, OpenAI, Data Migration, Generative AI, AI Enablement, Software Documentation, SQL, Dashboard, Artificial Intelligence, Database Management, Data Visualization, Large Language Modeling, Gap Analysis, Data Analysis, Automation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    7.8K reviews

    Intermediate · Specialization · 1 - 3 Months

  • K

    KodeKloud

    ML Model Development and Tracking: Hands-on Guide

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Test Data, Model Evaluation, Data Synthesis, Development Environment, Claims Processing, Performance Tuning, Applied Machine Learning, Computer Hardware

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Machine Learning in the Enterprise

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Google Cloud Platform, AI Workflows, Data Management, Data Governance, Tensorflow, Data Preprocessing, Data Pipelines, Machine Learning, Predictive Modeling, Model Evaluation, Cloud Computing, Data Transformation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Intermediate · Course · 1 - 3 Months

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

  • IBM AI Developer: IBM
  • Introduction to Psychology : Yale University
  • Natural Language Processing with Attention Models: DeepLearning.AI
  • AI Agent Development Fundamentals: Coursera
  • ML Production Systems: Coursera
  • Power BI for Beginners: Interactive Dashboard Fundamentals: Coursera
  • Computational Neuroscience: University of Washington
  • Fundamentals of Machine Learning: Whizlabs
  • Optimize and Manage Your ML Codebase: Coursera
  • Generative AI SQL Database Specialist with ChatGPT: Vanderbilt University

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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