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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.


More to explore:

Popular Exploratory Data Analysis Courses and Certifications


  • Status: New
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    E

    EDUCBA

    DP-900 Azure Data Fundamentals

    Skills you'll gain: Relational Databases, Power BI, Microsoft Azure, NoSQL, Cloud Deployment, Databases, Database Architecture and Administration, Data Integration, Data Visualization Software, SQL, Database Management Systems, Data Storage, Data Modeling, Data Warehousing, Infrastructure As A Service (IaaS), Platform As A Service (PaaS), Cloud Hosting, Cloud Security, Firewall

    4.8
    Rating, 4.8 out of 5 stars
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    18 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Whizlabs

    AWS: Data Management and Backups

    Skills you'll gain: Amazon S3, Cloud Storage, Data Management, Data Storage Technologies, Data Storage, Network Troubleshooting, Disaster Recovery

    Beginner · Course · 1 - 4 Weeks

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

    Google

    Get Started with Python

    Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Python Programming, NumPy, Pandas (Python Package), Data Analysis, Scripting, Data Manipulation, Data Visualization, Algorithms, Debugging

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.8K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Pennsylvania

    Inheritance and Data Structures in Java

    Skills you'll gain: File I/O, Java Programming, Eclipse (Software), Java, Debugging, Integrated Development Environments, Object Oriented Programming (OOP), Data Structures, Development Environment, Software Design, Programming Principles, Problem Solving

    4.6
    Rating, 4.6 out of 5 stars
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    106 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    J

    Johns Hopkins University

    R Programming

    Skills you'll gain: Statistical Analysis, R Programming, Statistical Programming, Data Analysis, Debugging, Simulations, Computer Programming Tools, Programming Principles, Data Manipulation, Data Structures, Performance Tuning, Data Import/Export

    4.5
    Rating, 4.5 out of 5 stars
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    22K reviews

    Intermediate · Course · 1 - 4 Weeks

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    U

    University of Leeds

    Data Science: How to Plan Projects, Research and Reflect

    Skills you'll gain: General Science and Research, Analytical Skills, Data Science, Communication, Technical Communication, Record Keeping, Critical Thinking

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
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    P

    Pearson

    Data Science Fundamentals Part 2: Unit 3

    Skills you'll gain: Predictive Modeling, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Statistical Inference, Business Analytics, Data Analysis, Statistical Analysis, Probability Distribution, Estimation, Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    University of Illinois Urbana-Champaign

    Data Analytics Foundations for Accountancy II

    Skills you'll gain: Anomaly Detection, Feature Engineering, Data Ethics, Machine Learning Algorithms, Classification Algorithms, Machine Learning, Statistical Machine Learning, Applied Machine Learning, Supervised Learning, Unsupervised Learning, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Decision Tree Learning, Data Mining, Exploratory Data Analysis, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
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    11 reviews

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    70+ JavaScript Challenges - Data Structures and Algorithms

    Skills you'll gain: Graph Theory, Javascript, Program Development, Programming Principles, Software Design Patterns, Computational Thinking, Debugging, Development Environment, Computer Science, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Real-time data visualization dashboard using Node-red

    Skills you'll gain: Dashboard, Data Preprocessing, Data Visualization Software, Real Time Data, Node.JS, Data Analysis, Application Programming Interface (API), Web Development Tools, JSON, Javascript

    4.3
    Rating, 4.3 out of 5 stars
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    18 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • U

    University of Colorado Boulder

    Master of Science in Data Science

    Skills you'll gain: User Story, New Product Development, Real-Time Operating Systems, Model Based Systems Engineering, Model Evaluation, Field-Programmable Gate Array (FPGA), Failure Analysis, Sustainable Business, Data Mining, Delegation Skills, Object Oriented Design, Sampling (Statistics), Proposal Writing, Supplier Management, Accountability, Data Ethics, Prompt Engineering, Sustainability Reporting, Database Design, Unsupervised Learning

    Earn a degree

    Degree · 1 - 4 Years

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

  • DP-900 Azure Data Fundamentals: EDUCBA
  • AWS: Data Management and Backups: Whizlabs
  • Data Science Fundamentals Part 1: Unit 2: Pearson
  • Get Started with Python: Google
  • Inheritance and Data Structures in Java: University of Pennsylvania
  • R Programming: Johns Hopkins University
  • Data Science: How to Plan Projects, Research and Reflect: University of Leeds
  • Data Science Fundamentals Part 2: Unit 3: Pearson
  • Data Analytics Foundations for Accountancy II: University of Illinois Urbana-Champaign
  • 70+ JavaScript Challenges - Data Structures and Algorithms: Packt

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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