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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

    • D

      Duke University

      Oil & Gas Industry Operations and Markets

      Skills you'll gain: Market Dynamics, Energy and Utilities, Operating Cost, Transportation Operations, Production Process, Supply Chain, Market Data, Market Trend, Cost Estimation, Global Marketing, Market Analysis, International Finance, Natural Resource Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.2K reviews

      Mixed · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      Root Cause Analysis: Principles and Benefits

      Skills you'll gain: Root Cause Analysis, Operational Efficiency, Corrective and Preventive Action (CAPA), Continuous Improvement Process, Product Quality (QA/QC), Process Improvement, Operational Excellence, Proactivity, Complex Problem Solving

      4.5
      Rating, 4.5 out of 5 stars
      ·
      72 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Data Science Challenge

      Skills you'll gain: Applied Machine Learning, Jupyter, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Data Science, Python Programming, Predictive Analytics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      163 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Dynamic Public Speaking

      Skills you'll gain: Public Speaking, Persuasive Communication, Presentations, Verbal Communication Skills, Microsoft PowerPoint, Oral Expression, Communication, Storytelling, Critical Thinking, Motivational Skills, Constructive Feedback, Performing Arts, Concision, Drive Engagement, Communication Strategies, Target Audience, Writing, Non-Verbal Communication, Problem Solving, Composure

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • W

      West Virginia University

      Forensic Accounting and Fraud Examination

      Skills you'll gain: Auditing, Loss Prevention, Internal Controls, Financial Controls, Threat Detection, Anomaly Detection, Financial Auditing, Cybersecurity, Financial Data, Cyber Operations, Investigation, Criminal Investigation and Forensics, Analytics, Specialized Accounting, Cyber Attacks, Security Awareness, Big Data, Accounting, Business Ethics, Compliance Reporting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.1K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Vertex AI Search for Retail

      Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Serverless Computing, Real Time Data, Dashboard, Cloud Infrastructure, Identity and Access Management, Big Data, Data Visualization Software, Data Integration, Cloud Security, Performance Tuning, Applied Machine Learning, Data Security, MLOps (Machine Learning Operations), CI/CD, Data Processing, Data Warehousing, Artificial Intelligence and Machine Learning (AI/ML)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      16K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Virginia

      Introduction to Personal Branding

      Skills you'll gain: Branding, Brand Strategy, Brand Management, Personal Attributes, Digital Assets, Social Media, Personally Identifiable Information, Computer Security Awareness Training, Self-Awareness, Social Media Strategy, Information Privacy, Constructive Feedback

      4.4
      Rating, 4.4 out of 5 stars
      ·
      8.8K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Éxito Profesional

      Skills you'll gain: Work Breakdown Structure, Business Writing, Cash Management, Critical Thinking, Team Leadership, Negotiation, Time Management, Entrepreneurship, Financial Statements, Project Schedules, Financial Analysis, Feasibility Studies, Verbal Communication Skills, Scheduling, Concision, Team Building, Problem Solving, Business Management, People Management, Leadership

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      N

      Northwestern University

      Organizational Leadership

      Skills you'll gain: Influencing, Persuasive Communication, Design Thinking, Data-Driven Decision-Making, Leadership, Strategic Communication, Innovation, Collaboration, Crisis Management, Negotiation, Organizational Leadership, Ideation, Team Leadership, Resource Allocation, Human Centered Design, Teamwork, Motivational Skills, Corporate Communications, Marketing Strategies, Marketing Analytics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Introduction to Discrete Mathematics for Computer Science

      Skills you'll gain: Graph Theory, Logical Reasoning, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Network Analysis, Public Key Cryptography Standards (PKCS), Algorithms, Theoretical Computer Science, Python Programming, Data Structures, Cybersecurity, Arithmetic, Computer Programming, Mathematical Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      S

      SAS

      Getting Started with SAS Programming

      Skills you'll gain: SAS (Software), Data Import/Export, Data Validation, Data Access, Data Manipulation, Exploratory Data Analysis, Data Analysis, SQL, Data Presentation, Microsoft Excel, Descriptive Statistics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SAP

      SAP Technology Consultant

      Skills you'll gain: Digital Transformation, Cloud Computing Architecture, Stakeholder Engagement, Consulting, Systems Design, Relationship Management, Business Consulting, Cloud Computing, Technical Design, Solution Design, User Feedback, Product Strategy, Technical Consulting, Customer Engagement, Cybersecurity, System Implementation, Professional Networking, Project Management, SAP Applications, Test Planning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    Exploratory Data Analysis learners also search

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

    • Oil & Gas Industry Operations and Markets : Duke University
    • Root Cause Analysis: Principles and Benefits: Coursera Instructor Network
    • Data Science Challenge: Coursera Project Network
    • Dynamic Public Speaking: University of Washington
    • Forensic Accounting and Fraud Examination: West Virginia University
    • Vertex AI Search for Retail: Google Cloud
    • Introduction to Personal Branding: University of Virginia
    • Éxito Profesional: University of California, Irvine
    • Organizational Leadership: Northwestern University
    • Introduction to Discrete Mathematics for Computer Science: University of California San Diego

    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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