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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: Free Trial
    Free Trial
    C

    Coursera

    Setting a Generative AI Strategy

    Skills you'll gain: AI Product Strategy, Generative AI, Strategic Thinking, Business Strategy, Business Planning, Customer experience strategy (CX), Customer Insights, Strategic Planning, Value Propositions, Productivity Software, Case Studies

    4.7
    Rating, 4.7 out of 5 stars
    ·
    76 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    A

    Amazon Web Services

    Developing Machine Learning Solutions

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Model Deployment, Machine Learning, Applied Machine Learning, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    100 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Modeling in AWS

    Skills you'll gain: Model Evaluation, AWS SageMaker, Predictive Modeling, Data Modeling, Amazon Web Services, Machine Learning, Machine Learning Algorithms, Performance Tuning

    2.6
    Rating, 2.6 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D
    U

    Multiple educators

    Object Oriented Programming in Java

    Skills you'll gain: Unit Testing, Data Structures, Event-Driven Programming, File I/O, Interactive Data Visualization, Java, Java Programming, User Interface (UI), Object Oriented Programming (OOP), JUnit, Debugging, Object Oriented Design, Computer Programming, Cryptography, Software Engineering, Performance Tuning, Algorithms, Data Analysis, Software Design, Problem Solving

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Linear Regression with R: Build & Optimize

    Skills you'll gain: Model Evaluation, Regression Analysis, Applied Machine Learning, Data Visualization, Statistical Modeling, Feature Engineering, Predictive Modeling, Data Analysis, R Programming, Predictive Analytics, Exploratory Data Analysis, Supervised Learning, Statistical Analysis, Correlation Analysis, Probability & Statistics, Data Manipulation, Linear Algebra, Statistical Hypothesis Testing

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Java Programming and Software Engineering Fundamentals

    Skills you'll gain: File I/O, Java Programming, Software Design, Debugging, Software Engineering, Javascript, Computer Programming, Event-Driven Programming, Encryption, Algorithms, Image Analysis, AI Personalization, Program Development, Data Processing, Statistical Analysis, Data Import/Export, Predictive Modeling, Integrated Development Environments, Data Analysis, Cascading Style Sheets (CSS)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22K reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Predict Ad Clicks Using Logistic Regression and XG-Boost

    Skills you'll gain: Model Evaluation, Scikit Learn (Machine Learning Library), Data Visualization, Feature Engineering, Data Preprocessing, Customer Analysis, Predictive Modeling, Predictive Analytics, Marketing Analytics, Applied Machine Learning, Logistic Regression, Data Cleansing, Data Manipulation, Advertising, Digital Advertising, Performance Analysis, Machine Learning, Python Programming, Deep Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Deep Learning with PyTorch

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Getting Started with Generative AI

    Skills you'll gain: Prompt Engineering, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Embeddings, Data Preprocessing, AI Personalization, Deep Learning, Model Evaluation, Transfer Learning, Model Deployment, Open Source Technology, Data Processing, Machine Learning, Data Cleansing, Data Visualization, Database Systems

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    GenAI for Paralegals: Streamlining Legal Drafting

    Skills you'll gain: Legal Technology, Legal Research, Responsible AI, Data Ethics, AI Security, Generative AI, AI Enablement, Workflow Management, Operational Efficiency, AI Workflows, Automation, Document Management, Ethical Standards And Conduct, Data Security

    4.5
    Rating, 4.5 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    F

    Fractal Analytics

    Introduction to Vertex AI

    Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Model Deployment, Google Cloud Platform, AI Enablement, Artificial Intelligence, Machine Learning, User Interface (UI), Cloud Computing, Complex Problem Solving, Scalability, Critical Thinking

    4.5
    Rating, 4.5 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Generative AI Architecture and Application Development

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Large Language Modeling, Generative Model Architectures, Generative AI, Data Ethics, Model Evaluation, Responsible AI, Prompt Engineering, Information Privacy, Natural Language Processing

    3.6
    Rating, 3.6 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 3 Months

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1…230231232…834

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

  • Setting a Generative AI Strategy: Coursera
  • Developing Machine Learning Solutions: Amazon Web Services
  • Modeling in AWS: Whizlabs
  • Object Oriented Programming in Java: Duke University
  • Linear Regression with R: Build & Optimize: EDUCBA
  • Java Programming and Software Engineering Fundamentals: Duke University
  • Predict Ad Clicks Using Logistic Regression and XG-Boost: Coursera
  • Deep Learning with PyTorch: Coursera
  • Getting Started with Generative AI: Edureka
  • GenAI for Paralegals: Streamlining Legal Drafting: 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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