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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


  • G

    Google Cloud

    Redacting Sensitive Data with Cloud Data Loss Prevention

    Skills you'll gain: Cloud Security, Data Loss Prevention, Data Security, Personally Identifiable Information, Information Privacy, Cloud Computing, Google Cloud Platform, Cloud Services

    Beginner · Project · Less Than 2 Hours

  • G

    Google Cloud

    Exploring the Lineage of Data with Cloud Data Fusion

    Skills you'll gain: Google Cloud Platform, Data Pipelines, Data Migration, Data Lakes, Data Integration, Data Transformation, Exploratory Data Analysis, Cloud Management, Data Management, DevOps

    Advanced · Project · Less Than 2 Hours

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

    Coursera

    Analyze AI SEO Data for Impact

    Skills you'll gain: Web Analytics and SEO, Data Storytelling, Analytics, Statistical Methods, Statistical Analysis, Performance Reporting

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Data Visualization Fundamentals in Python

    Skills you'll gain: Data Storytelling, Data Presentation, Plot (Graphics), Data Visualization, Matplotlib, Interactive Data Visualization, Data Visualization Software, Seaborn, Data Analysis, Graphic and Visual Design, Python Programming, Jupyter, Pandas (Python Package), Data Manipulation, NumPy

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals, Part 1

    Skills you'll gain: Extract, Transform, Load, Data Validation, Data Transformation, Applied Machine Learning, Object-Relational Mapping, Data Wrangling, Data Cleansing, Data Manipulation, Data Integration, Web Scraping, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Data Modeling, Data Science, Python Programming, Scikit Learn (Machine Learning Library), Extensible Markup Language (XML), Data Analysis

    Beginner · Specialization · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Finalize a Data Science Project

    Skills you'll gain: Machine Learning, Data Storytelling, Stakeholder Engagement, Data Presentation, Stakeholder Communications, MLOps (Machine Learning Operations), Web Applications, Model Deployment, Project Closure, Data-Driven Decision-Making, Data Visualization, Data Science, Communication, Automation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Data Cleaning & Processing with Copilot in Excel

    Skills you'll gain: Data Cleansing, Prompt Engineering, Data Processing, Microsoft Excel, Data Manipulation, Microsoft Copilot, Data Preprocessing, Data Quality, Data Transformation, Data Integrity, Data Validation, Data-Driven Decision-Making, Excel Formulas, Data Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    46 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Advanced Data Structures in Java

    Skills you'll gain: Graph Theory, Data Structures, Java Programming, Java, Object Oriented Design, Software Design, Algorithms, Theoretical Computer Science, Maintainability, Object Oriented Programming (OOP), Network Routing, Computational Thinking, Application Development

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Python Foundations for Data Handling

    Skills you'll gain: Matplotlib, Data Visualization Software, Data Structures, Data Manipulation, Pandas (Python Package), NumPy, Exploratory Data Analysis, Python Programming, Data Preprocessing, Scripting, Scripting Languages

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Python for Data Visualization: Matplotlib & Seaborn

    Skills you'll gain: Matplotlib, Histogram, Plot (Graphics), Data Visualization, Seaborn, Scatter Plots, Data Visualization Software, Statistical Visualization, Graphing, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    77 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    G

    Georgia Institute of Technology

    Materials Data Sciences and Informatics

    Skills you'll gain: Materials science, Informatics, Data Science, Data Mining, Data Integration, Data-Driven Decision-Making, Data Processing, Systems Design, Big Data, Structural Analysis, Statistics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    351 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Getting Started with Data Visualization in R

    Skills you'll gain: Rmarkdown, Data Visualization, Statistical Visualization, Ggplot2, Data Import/Export, Data Visualization Software, R Programming, Tidyverse (R Package), Statistical Reporting, Data Manipulation, Scatter Plots, Data Wrangling, Histogram

    4.7
    Rating, 4.7 out of 5 stars
    ·
    301 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Redacting Sensitive Data with Cloud Data Loss Prevention: Google Cloud
  • Exploring the Lineage of Data with Cloud Data Fusion: Google Cloud
  • Analyze AI SEO Data for Impact: Coursera
  • Data Visualization Fundamentals in Python: University of Pittsburgh
  • Data Science Fundamentals, Part 1: Pearson
  • Finalize a Data Science Project: CertNexus
  • Data Cleaning & Processing with Copilot in Excel : Microsoft
  • Advanced Data Structures in Java: University of California San Diego
  • Python Foundations for Data Handling: Packt
  • Python for Data Visualization: Matplotlib & Seaborn: 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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