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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: Free Trial
    Free Trial
    S

    SkillUp

    Mastering Advanced Data and Analytics Features in Tableau

    Skills you'll gain: Tableau Software, Data Transformation, Data Integration, SQL Server Integration Services (SSIS), Data Visualization Software, Relational Databases, Data Management, Advanced Analytics, Data Manipulation, Data Analysis, Data Cleansing, Business Intelligence, Forecasting

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Data Persistence and Firebase Integration

    Skills you'll gain: Data Persistence, JSON, Data Store, User Interface (UI), User Interface and User Experience (UI/UX) Design, Database Development, Databases, Interactive Data Visualization, Debugging, Application Development, Mobile Development, Application Programming Interface (API), Data Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Virtualization, Docker, and Kubernetes for Data Engineering

    Skills you'll gain: Site Reliability Engineering, Docker (Software), Containerization, Kubernetes, Virtualization, Cloud Deployment, Devops Tools, Microservices, Application Deployment, Virtual Machines, Cloud Development, Database Management, Cloud-Based Integration, Scalability

    3.9
    Rating, 3.9 out of 5 stars
    ·
    42 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    GenAI for Data Engineers: Scaling with GenAI

    Skills you'll gain: Responsible AI, Prompt Engineering, Generative AI, AI Product Strategy, OpenAI, Data Pipelines, Data Modeling, ChatGPT, Data Transformation, Data Quality, Database Management, SQL

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Scrape and analyze data analyst job requirements with Python

    Skills you'll gain: Web Scraping, Data Visualization, Data Preprocessing, Data Cleansing, Exploratory Data Analysis, Scripting, Data Analysis, Data Manipulation, Data Import/Export, Extensible Markup Language (XML), Python Programming, Jupyter, GitHub

    3.3
    Rating, 3.3 out of 5 stars
    ·
    14 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • 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
    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: Preview
    Preview
    N

    Northeastern University

    Database to AI: Practical Data Analytics Integration

    Skills you'll gain: Database Management Systems, Data Modeling, Database Design, Database Systems, Big Data, Unified Modeling Language, Database Architecture and Administration, Data Storage Technologies, Data Management, Apache Hadoop, Apache Spark, Conceptual Design

    Mixed · Course · 1 - 4 Weeks

  • 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
    S

    SkillUp

    Enterprise Data Integration, Governance and Architecture

    Skills you'll gain: Data Security, Data Migration, Data Governance, Extract, Transform, Load, Cloud Storage, Data Architecture, Data Management, Data Integration, Data Storage, Enterprise Architecture, Data Quality, Personally Identifiable Information, Data Modeling, Incident Response, Security Controls, Information Privacy, Data Infrastructure, Data Warehousing, Threat Detection, Law, Regulation, and Compliance

    4.6
    Rating, 4.6 out of 5 stars
    ·
    60 reviews

    Advanced · Specialization · 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
    ·
    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

  • Mastering Advanced Data and Analytics Features in Tableau: SkillUp
  • Data Persistence and Firebase Integration: Packt
  • Virtualization, Docker, and Kubernetes for Data Engineering: Duke University
  • GenAI for Data Engineers: Scaling with GenAI: Coursera
  • Scrape and analyze data analyst job requirements with Python: Coursera
  • Data Science Fundamentals Part 2: Unit 2: Pearson
  • AWS: Compute and Data Transfer: Whizlabs
  • Database to AI: Practical Data Analytics Integration: Northeastern University
  • Linear Algebra and Regression Fundamentals for Data Science: University of Pittsburgh
  • Enterprise Data Integration, Governance and Architecture: SkillUp

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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