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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
    D

    DeepLearning.AI

    Custom Models, Layers, and Loss Functions with TensorFlow

    Skills you'll gain: Tensorflow, Transfer Learning, Deep Learning, Keras (Neural Network Library), Convolutional Neural Networks, Artificial Neural Networks, Model Evaluation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    Duke University

    R을 사용한 확률 및 데이터 소개

    Skills you'll gain: Exploratory Data Analysis, Sampling (Statistics), Probability Distribution, Bayesian Statistics, Data Analysis, Statistical Analysis, Probability, R Programming, Statistics, Quantitative Research, Descriptive Statistics, Statistical Inference

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Build a Machine Learning Web App with Streamlit and Python

    Skills you'll gain: Machine Learning Algorithms, Data Visualization, Dashboard, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Data Science, Python Programming, Pandas (Python Package)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    414 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Clinical Natural Language Processing

    Skills you'll gain: Natural Language Processing, Text Mining, Clinical Informatics, Clinical Documentation, Clinical Data Management, R Programming, Google Cloud Platform, Health Informatics, Unstructured Data, Data Processing

    3.7
    Rating, 3.7 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    488 reviews

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Introduction to D3.js

    Skills you'll gain: Data Visualization Software, Data Visualization, Interactive Data Visualization, Visualization (Computer Graphics), JSON, Data Mapping, Javascript

    3.7
    Rating, 3.7 out of 5 stars
    ·
    7 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    R

    Real Madrid Graduate School Universidad Europea

    AI in Sports: The Approach of a Club

    Skills you'll gain: Artificial Intelligence, Performance Analysis, Automation, Personalized Service, Digital Transformation, Augmented and Virtual Reality (AR/VR), Technology Strategies, Innovation, Internet Of Things, Machine Learning, Big Data, Ethical Standards And Conduct, Deep Learning, Analytical Skills, Predictive Analytics, Health Technology, Data Analysis, Natural Language Processing, User Experience, Data Security

    4.8
    Rating, 4.8 out of 5 stars
    ·
    14 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Birla Institute of Technology & Science, Pilani

    Linear Algebra for Machine Learning & AI

    Skills you'll gain: Linear Algebra, Numerical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Applied Mathematics, Data Analysis, Machine Learning, Dimensionality Reduction, Artificial Neural Networks, Data Manipulation

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Responsible AI - Principles and Ethical Considerations

    Skills you'll gain: Responsible AI, Data Ethics, AI Security, Artificial Intelligence, Ethical Standards And Conduct, Information Privacy, Personally Identifiable Information, Data Governance, Data Security, Governance, Complex Problem Solving, Critical Thinking

    4.5
    Rating, 4.5 out of 5 stars
    ·
    21 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Practical AI for Professionals

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, AI Enablement, Artificial Intelligence, Responsible AI, Data Analysis, Descriptive Statistics, Technology Strategies, Business Strategy, Machine Learning, Data Management, Data Preprocessing, Computer Vision, Unstructured Data, Predictive Modeling, Natural Language Processing

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    G

    Google

    Functions and Conditional Statements

    Skills you'll gain: Software Design, Computational Logic, Computer Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    20 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    BiteSize Python for Intermediate Learners

    Skills you'll gain: Matplotlib, Object Oriented Programming (OOP), Plotly, Seaborn, Data Visualization Software, Object Oriented Design, Data Visualization, Pandas (Python Package), NumPy, Statistical Visualization, Interactive Data Visualization, Software Documentation, Scatter Plots, Box Plots, Heat Maps, Data Structures, Maintainability, Programming Principles, Data Import/Export, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14 reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Custom Models, Layers, and Loss Functions with TensorFlow: DeepLearning.AI
  • R을 사용한 확률 및 데이터 소개: Duke University
  • Build a Machine Learning Web App with Streamlit and Python: Coursera
  • Clinical Natural Language Processing: University of Colorado System
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Introduction to D3.js: Coursera
  • AI in Sports: The Approach of a Club: Real Madrid Graduate School Universidad Europea
  • Linear Algebra for Machine Learning & AI: Birla Institute of Technology & Science, Pilani
  • Responsible AI - Principles and Ethical Considerations: Fractal Analytics
  • Practical AI for Professionals: Northeastern 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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