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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: Free Trial
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    IBM

    AI Workflow: Feature Engineering and Bias Detection

    Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Preprocessing, Data Transformation, MLOps (Machine Learning Operations), Anomaly Detection, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Model Evaluation, Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Data Visualization, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    76 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Ein Crashkurs in Datenwissenschaft

    Skills you'll gain: Data Science, Data Management, Organizational Effectiveness, Data Analysis, Data-Driven Decision-Making, Project Design, Data Presentation, Exploratory Data Analysis, Machine Learning, Predictive Modeling, Statistical Inference

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Artificial Intelligence Ethics in Action

    Skills you'll gain: Responsible AI, Data Ethics, OpenAI, Artificial Intelligence, Large Language Modeling, Ethical Standards And Conduct, Analytical Skills, Analysis, Machine Learning, Game Theory, Generative AI, Predictive Modeling

    4.6
    Rating, 4.6 out of 5 stars
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    338 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Bayesian Statistics: Techniques and Models

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Model Evaluation, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Data Analysis, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
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    495 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Amsterdam

    Inferential Statistics

    Skills you'll gain: Regression Analysis, Statistical Inference, Statistics, Logistic Regression, R Programming

    4.3
    Rating, 4.3 out of 5 stars
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    607 reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    C

    Coursera

    Fine-Tune & Optimize Generative AI Models

    Skills you'll gain: Hugging Face, Large Language Modeling, MLOps (Machine Learning Operations), Generative AI, Artificial Intelligence and Machine Learning (AI/ML), AI Product Strategy, Transfer Learning, Applied Machine Learning, AI Personalization, Model Deployment, Model Evaluation, Responsible AI, Performance Tuning, Model Based Systems Engineering, Program Evaluation, Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, Generative AI, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Deep Learning, Model Evaluation, Responsible AI, Artificial Neural Networks, Data Ethics, Machine Learning, Image Quality, Unsupervised Learning, Information Privacy, Data Synthesis

    4.7
    Rating, 4.7 out of 5 stars
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    2.4K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    TensorFlow: Advanced Techniques

    Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics), Performance Tuning, Network Architecture

    4.8
    Rating, 4.8 out of 5 stars
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    1.7K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Design Prompts for Everyday Work Tasks

    Skills you'll gain: Prompt Engineering, Brainstorming, Email Automation, AI Enablement, Concision, Large Language Modeling, Business Writing, Productivity, Organizational Skills

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    BiteSize Python: NumPy and Pandas

    Skills you'll gain: Pandas (Python Package), NumPy, Data Structures, Data Import/Export, Data Manipulation, Data Cleansing, Statistical Methods, Data Analysis, Exploratory Data Analysis

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    L

    LearnQuest

    Lead the AI-Enabled Business Transformation

    Skills you'll gain: AI Enablement, Regulatory Requirements, Responsible AI, Compliance Management, Business Transformation, Risk Analysis, Regulation and Legal Compliance, Business Solutions, Cross-Functional Team Leadership, Key Performance Indicators (KPIs), Digital Transformation, Business Risk Management, Scalability, Risk Management, Culture Transformation, Cross-Functional Collaboration, Data-Driven Decision-Making, Employee Training

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning with Python

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Machine Learning, Dimensionality Reduction, Decision Tree Learning, Python Programming, Logistic Regression, Classification Algorithms, Feature Engineering

    4.7
    Rating, 4.7 out of 5 stars
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    18K reviews

    Intermediate · Course · 1 - 3 Months

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

  • AI Workflow: Feature Engineering and Bias Detection: IBM
  • Ein Crashkurs in Datenwissenschaft: Johns Hopkins University
  • Artificial Intelligence Ethics in Action: LearnQuest
  • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
  • Inferential Statistics: University of Amsterdam
  • Fine-Tune & Optimize Generative AI Models: Coursera
  • Generative Adversarial Networks (GANs): DeepLearning.AI
  • TensorFlow: Advanced Techniques: DeepLearning.AI
  • Design Prompts for Everyday Work Tasks: Google
  • BiteSize Python: NumPy and Pandas: University of Colorado Boulder

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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