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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: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals Part 2: Unit 2

    Skills you'll gain: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    From Data to Decisions: Making Predictions with AI

    Skills you'll gain: Data Presentation, Regression Analysis, Statistical Analysis, Statistical Reporting, Correlation Analysis, Technical Communication, Probability & Statistics, Scatter Plots, Data Analysis, Predictive Analytics, Generative AI, Statistical Modeling

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Calculus through Data & Modeling: Limits & Derivatives

    Skills you'll gain: Calculus, Mathematical Software, Data Analysis, Mathematical Theory & Analysis, Derivatives, Graphing, Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    209 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    AWS: Compute and Data Transfer

    Skills you'll gain: Serverless Computing, Amazon Web Services, Cloud Computing Architecture, Solution Architecture, Containerization, Data Migration, Cloud Deployment, Data Pipelines, Cloud Solutions, Data Processing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Statistics with Python

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Modeling, Statistical Methods, Statistical Inference, Bayesian Statistics, Data Visualization, Statistics, Matplotlib, Statistical Visualization, Statistical Software, Probability & Statistics, Model Evaluation, Statistical Analysis, Jupyter, Statistical Programming, Statistical Machine Learning, Regression Analysis, Data Visualization Software, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.3K reviews

    Beginner · Specialization · 1 - 3 Months

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

    University of Pittsburgh

    Linear Algebra and Regression Fundamentals for Data Science

    Skills you'll gain: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Data Visualization, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning

    Build toward a degree

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Source Systems, Data Ingestion, and Pipelines

    Skills you'll gain: Apache Airflow, Data Pipelines, Dataflow, Data Integration, Infrastructure as Code (IaC), Terraform, Extract, Transform, Load, Amazon CloudWatch, IT Automation, Data Quality, Amazon Web Services, CI/CD, Data Processing, Data Transformation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    127 reviews

    Intermediate · Course · 1 - 4 Weeks

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

    Pearson

    Data Science Fundamentals Part 1: Unit 2

    Skills you'll gain: Extract, Transform, Load, Data Transformation, Data Integration, Web Scraping, Data Pipelines, JSON, Object Oriented Programming (OOP), Extensible Markup Language (XML), Data Modeling, Application Programming Interface (API), Relational Databases

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Advanced Data Applications and Integration

    Skills you'll gain: Rmarkdown, Web Scraping, Geospatial Information and Technology, Microsoft Azure, Cloud Storage, Interactive Data Visualization, R Programming, Data Collection, Cloud Services, Data Manipulation, Data Science, Data Visualization Software, Data Integration, Data Analysis, Data Ethics, Application Programming Interface (API)

    Beginner · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Introduction to Bayesian Statistics for Data Science

    Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Statistical Methods, Data Ethics, Data Science, Probability, Regression Analysis, Probability Distribution, Calculus

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Object-Oriented Data Structures in C++

    Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Development Environment, Engineering Software, Computer Programming, Data Structures, Debugging, Program Development

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • B

    Ball State University

    Master of Science in Data Science

    Skills you'll gain: Data Ethics, Graph Theory, Data Collection, Supervised Learning, File Systems, SQL, Software Development Methodologies, Statistical Hypothesis Testing, Statistical Methods, Data Wrangling, Logistic Regression, SAS (Software), Object Oriented Programming (OOP), Spatial Analysis, Text Mining, Financial Data, Artificial Intelligence, Health Informatics, Natural Language Processing, R Programming

    Earn a degree

    Degree · 1 - 4 Years

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

  • Data Science Fundamentals Part 2: Unit 2: Pearson
  • From Data to Decisions: Making Predictions with AI: Vanderbilt University
  • Calculus through Data & Modeling: Limits & Derivatives: Johns Hopkins University
  • AWS: Compute and Data Transfer: Whizlabs
  • Statistics with Python: University of Michigan
  • Linear Algebra and Regression Fundamentals for Data Science: University of Pittsburgh
  • Source Systems, Data Ingestion, and Pipelines: DeepLearning.AI
  • Data Science Fundamentals Part 1: Unit 2: Pearson
  • Advanced Data Applications and Integration: Microsoft
  • Introduction to Bayesian Statistics for Data Science: 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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