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    • Exploratory Data Analysis

    Exploratory Data Analysis Courses Online

    Learn exploratory data analysis (EDA) for uncovering patterns and insights. Understand data visualization, summary statistics, and hypothesis testing.

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    Explore the Exploratory Data Analysis Course Catalog

    • Status: New
      New
      Status: Free Trial
      Free Trial
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      Packt

      Automation and Project Implementation in Azure Databricks

      Skills you'll gain: CI/CD, Databricks, Microsoft Azure, Data Architecture, Cloud Engineering, Secure Coding, Data Storage Technologies, Integration Testing, Automation, Restful API, Command-Line Interface, Systems Design, Data Pipelines, Software Design, GitHub

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
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      Packt

      Fundamentals of Azure Databricks

      Skills you'll gain: Databricks, Apache Spark, Microsoft Azure, Big Data, Data Lakes, Data Infrastructure, Data Processing, File Systems, Data Pipelines, User Accounts, Cloud Computing Architecture

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
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      LearnKartS

      Responsible AI with AWS Security and Governance

      Skills you'll gain: AWS Identity and Access Management (IAM), Data Governance, Identity and Access Management, Data Ethics, Amazon Web Services, Data Management, Generative AI, Cloud Security, Cyber Governance, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, MLOps (Machine Learning Operations), Data Security, Information Privacy

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
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      Packt

      Mastering MongoDB 7.0

      Skills you'll gain: MongoDB, Data Modeling, Query Languages, Data Security, Database Architecture and Administration, NoSQL, System Monitoring, Database Management, Role-Based Access Control (RBAC), Transaction Processing, Performance Tuning, Scalability, Encryption

      Intermediate · Course · 3 - 6 Months

    • Status: New
      New
      W

      Whizlabs

      Exam Prep AI-900: Microsoft Certified Azure AI Fundamentals

      Skills you'll gain: Generative AI, Microsoft Azure, Image Analysis, Computer Vision, OpenAI, Artificial Intelligence, Natural Language Processing, Machine Learning, Data Ethics, Deep Learning, Text Mining, Data Science

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
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      Whizlabs

      AWS: Analytics and Application Integration

      Skills you'll gain: AWS Kinesis, Amazon Web Services, Real Time Data, Apache Spark, Extract, Transform, Load, Data Processing, Dashboard, Full-Stack Web Development, Mobile Development Tools, Web Development Tools, Event-Driven Programming, Data Visualization

      Intermediate · Course · 1 - 4 Weeks

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

      University of Colorado Boulder

      Fundamentals of Visualization & Design with Tableau

      Skills you'll gain: Data Visualization, Data Visualization Software, Tableau Software, Interactive Data Visualization, Data Presentation, Data Import/Export, Data Storytelling

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
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      University of Illinois Urbana-Champaign

      Understanding the Healthcare Innovation Process I

      Skills you'll gain: Product Development, New Product Development, Risk Management, Product Design, Innovation, Healthcare Industry Knowledge, Industrial Design, Stakeholder Engagement, Market Analysis, Return On Investment, Health Technology, Project Management, Forecasting, Financial Analysis, Agile Methodology, Waterfall Methodology

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Introduction to Thermodynamics: Transferring Energy from Here to There

      Skills you'll gain: Mechanical Engineering, Thermal Management, HVAC, Engineering, Energy and Utilities, Physics, Engineering Analysis, Plant Operations and Management, Process Analysis, Environmental Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      Visio for Professionals: Diagrams & Flowchart Design

      Skills you'll gain: Microsoft Visio, Process Flow Diagrams, Collaborative Software, Process Design, Data Visualization, Process Mapping, Workflow Management, Business Workflow Analysis, Organizational Structure, Real Time Data, Data Integration, Process Improvement

      Intermediate · Course · 1 - 4 Weeks

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

      Simplilearn

      Introduction to Six Sigma Training

      Skills you'll gain: Lean Methodologies, Six Sigma Methodology, Lean Manufacturing, Process Improvement, Business Process, Quality Management, Process Mapping, Operational Efficiency, Continuous Improvement Process, Waste Minimization, Key Performance Indicators (KPIs), Root Cause Analysis, Product Development, Risk Analysis

      Beginner · Course · 1 - 4 Weeks

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

      University of Minnesota

      Business Model & Product Pitch

      Skills you'll gain: Business Modeling, Entrepreneurship, Growth Strategies, Price Negotiation, Business Planning, Financial Modeling, Cost Accounting, Product Strategy, Product Development, New Product Development, Business Strategies, Value Propositions, Presentations, Business Metrics, Customer Acquisition Management, Market Analysis, Fundraising

      Beginner · Course · 1 - 3 Months

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

    • Automation and Project Implementation in Azure Databricks: Packt
    • Fundamentals of Azure Databricks: Packt
    • Responsible AI with AWS Security and Governance: LearnKartS
    • Mastering MongoDB 7.0: Packt
    • Exam Prep AI-900: Microsoft Certified Azure AI Fundamentals: Whizlabs
    • AWS: Analytics and Application Integration: Whizlabs
    • Fundamentals of Visualization & Design with Tableau: University of Colorado Boulder
    • Understanding the Healthcare Innovation Process I: University of Illinois Urbana-Champaign
    • Introduction to Thermodynamics: Transferring Energy from Here to There: University of Michigan
    • Visio for Professionals: Diagrams & Flowchart Design: Coursera Instructor Network

    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)

    Frequently Asked Questions about Exploratory Data Analysis

    Exploratory data analysis (EDA) is an approach to data analysis used to investigate sets of data, summarize their characteristics, and figure out how to best work with data to get answers while providing a visual to help businesses, scientists, researchers, and analysts learn more from that data. Exploratory data analysis makes it easier to find patterns and anomalies in data, and it can be used to determine what the data reveals beyond modeling. It's useful as a step in creating sophisticated data models and analysis. EDA tools include clustering/dimension reduction techniques to create graphs, K-means clustering, and predictive modeling, including linear regression. There are four main types of exploratory data analysis, including univariate non-graphical, univariate graphical, multivariate nongraphical, and multivariate graphical. All of these types describe the data, but graphical exploratory data analysis provides a more complete picture created by the data.‎

    If you're passionate about working with numbers and transforming them to tell a story that influences others, learning about exploratory data analysis can help you forge a career based on that passion. It's a solid start to jobs in data science, but you'll also gain a variety of related skills, including coding using Python and R, data cleansing, and predictive modeling. Beyond starting a new career or advancing your existing one, there are benefits for anyone who chooses to learn about exploratory data analysis, including solid problem-solving skills, the ability to find connections between data and real-world problems, and gaining useful tools to guide major decisions ranging from getting the most out of marketing campaigns to maximizing project executions to hiring key players for organizations.‎

    If you're looking for a career in transforming large volumes of data into actionable advice and solutions, a career in exploratory data analytics could be your ideal path, particularly if you're passionate about using data to evaluate whether the statistical methods you intend to use for analyzing that data are the most effective options. This fast-growing field is in-demand, with skilled, knowledgeable exploratory data analysts among the most highly sought professionals across multiple industries. Exploratory data analysis is somewhat like solving puzzles, piecing data-driven insights together to help employers and clients make well-informed business decisions based on sound data that's been evaluated for assumptions, errors, and trends. You might work on Wall Street for a hedge fund or investment bank. You could work in healthcare, insurance, retail, or marketing, among other industries.‎

    Online courses on Coursera give you the opportunity to do everything from gaining experience in fundamentals to earning professional certification. If you're new to the field, beginner courses like Exploratory Data Analysis with MATLAB can help you build a foundation in data analysis and data visualization. If you're looking to advance your skills, you might explore your options to gain professional certification through IBM's IBM Data Analyst offering. Or you could opt for a specialization, like the Data Science option from Johns Hopkins, which combines courses and applied learning to help you build firsthand knowledge and skills that you'll be able to apply in business settings.‎

    Online Exploratory Data Analysis courses offer a convenient and flexible way to enhance your knowledge or learn new Exploratory Data Analysis skills. Choose from a wide range of Exploratory Data Analysis courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Exploratory Data Analysis, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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