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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.


More to explore:

Popular Exploratory Data Analysis Courses and Certifications


  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Creating a Looker Modeled Query and Working with Quick Start

    Skills you'll gain: Looker (Software), Pivot Tables And Charts, Dashboard, Data Modeling, Exploratory Data Analysis, Data Analysis, Query Languages

    Beginner · Project · Less Than 2 Hours

  • Status: Preview
    Preview
    U

    University of Michigan

    파이썬의 데이터 과학 소개

    Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Statistical Analysis, Jupyter, Data Structures, Data Cleansing, Pivot Tables And Charts, Data Analysis, Data Preprocessing, Exploratory Data Analysis, Python Programming, Probability & Statistics, Data Import/Export

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Evaluate AI Risks: Adopt Smart Predictions

    Skills you'll gain: Model Evaluation, Data-Driven Decision-Making, Predictive Modeling, Risk Analysis, Strategic Decision-Making, Performance Metric, Technical Communication

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Machine Learning: Theory and Hands-on Practice with Python

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Deep Learning, Recurrent Neural Networks (RNNs), Machine Learning Algorithms, Model Evaluation, Exploratory Data Analysis, Dimensionality Reduction, Convolutional Neural Networks, Applied Machine Learning, Generative Adversarial Networks (GANs), Decision Tree Learning, Autoencoders, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Classification Algorithms, Artificial Neural Networks, Data Science, Machine Learning, Python Programming

    Build toward a degree

    3.4
    Rating, 3.4 out of 5 stars
    ·
    129 reviews

    Intermediate · Specialization · 3 - 6 Months

  • D

    Duke University

    Bayesian Statistics

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Analysis, Regression Analysis, Data Analysis, R Programming, Probability, Data-Driven Decision-Making, Model Evaluation, Probability Distribution

    3.8
    Rating, 3.8 out of 5 stars
    ·
    798 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Universidad de los Andes

    Integración y preparación de datos

    Skills you'll gain: Data Integration, Data Quality, Exploratory Data Analysis, Data Preprocessing, Data Transformation, Data Cleansing, Data Manipulation, Jupyter, Data Compilation, Data Visualization, Data Analysis, Data-Driven Decision-Making, Pandas (Python Package), Predictive Modeling, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    104 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Artificial Intelligence (AI)

    Skills you'll gain: Responsible AI, Generative AI, Natural Language Processing, Robotics, Business Logic, Risk Mitigation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    22K reviews

    Beginner · Course · 1 - 4 Weeks

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

    Coursera

    Design & Present Responsible AI Solutions

    Skills you'll gain: Responsible AI, Data Ethics, Data Storytelling, Presentations, Technical Communication, Artificial Intelligence, Stakeholder Communications, Ethical Standards And Conduct, Case Studies, Accountability, Risk Mitigation, Governance, Design, Stakeholder Analysis, Risk Management, Project Documentation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    Doing More with SAS Programming

    Skills you'll gain: SAS (Software), Data Manipulation, Data Transformation, Data Processing, Data Integration, Statistical Programming, Data Analysis, Data Presentation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    943 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    SAS

    Responsible Innovation and Trustworthy AI

    Skills you'll gain: Responsible AI, Data Ethics, AI Security, Regulatory Compliance, Artificial Intelligence, Business Ethics, Risk Analysis, SAS (Software), Compliance Training, Data Integrity, Human Centered Design, Accountability, Analytics, Diversity and Inclusion, Information Privacy, Data Governance, Data Analysis, Data Management, Model Deployment

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    The R Programming Environment

    Skills you'll gain: Tidyverse (R Package), Web Scraping, Data Manipulation, R Programming, Data Transformation, Data Cleansing, Big Data, Statistical Programming, Text Mining, Data Import/Export, Data Analysis, Data Structures, Performance Tuning, Application Programming Interface (API)

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Cervical Cancer Risk Prediction Using Machine Learning

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Data Analysis, Classification Algorithms, Data Preprocessing, Scikit Learn (Machine Learning Library), Predictive Modeling, Matplotlib, Pandas (Python Package), Applied Machine Learning, Data Visualization Software, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    44 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

  • Creating a Looker Modeled Query and Working with Quick Start: Google Cloud
  • 파이썬의 데이터 과학 소개: University of Michigan
  • Evaluate AI Risks: Adopt Smart Predictions: Coursera
  • Machine Learning: Theory and Hands-on Practice with Python: University of Colorado Boulder
  • Bayesian Statistics: Duke University
  • Integración y preparación de datos: Universidad de los Andes
  • Introduction to Artificial Intelligence (AI): IBM
  • Design & Present Responsible AI Solutions: Coursera
  • Doing More with SAS Programming: SAS
  • Responsible Innovation and Trustworthy AI : SAS

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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