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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: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Successful Presentation

      Skills you'll gain: Public Speaking, Presentations, Verbal Communication Skills, Storytelling, Drive Engagement, Communication, Persuasive Communication, Non-Verbal Communication, Cognitive flexibility, Composure, Adaptability, Creativity

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.9K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Healthcare Marketplace

      Skills you'll gain: Competitive Analysis, Payment Systems, Intellectual Property, Health Systems, Healthcare Industry Knowledge, Commercialization, Pharmaceuticals, Leadership Development, Health Care Administration, Product Management, Medical Management, Go To Market Strategy, Regulatory Affairs, Medical Equipment and Technology, Organizational Structure, Market Opportunities, Health Care, Market Analysis, Cost Benefit Analysis, Health Care Procedure and Regulation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • N

      National Taiwan University

      BIM Fundamentals for Engineers

      Skills you'll gain: Building Information Modeling, Engineering Documentation, Data Modeling, 3D Modeling, Computer-Aided Design, Construction, Information Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.9K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      Unilever

      Supply Chain Management and Analytics

      Skills you'll gain: Demand Planning, Supply Chain Management, Supply Chain Planning, Process Improvement, Customer Demand Planning, Capacity Planning, Logistics Management, Supplier Management, Logistics, Analytics, Transportation Management, Corporate Sustainability, Scheduling, Inventory Management System, Production Schedule, Forecasting, Security Management, Expense Management, Operating Expense, Risk Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      392 reviews

      Beginner · Course · 1 - 3 Months

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

      Microsoft

      Data Analysis and Visualization with Python

      Skills you'll gain: Generative AI, Matplotlib, Plotly, Data Ethics, Data Cleansing, Data Manipulation, Exploratory Data Analysis, Pandas (Python Package), Data Transformation, Interactive Data Visualization, Data Visualization Software, Data Storytelling, Data Analysis, Scikit Learn (Machine Learning Library), Artificial Intelligence, Jupyter, Python Programming, Machine Learning

      4.3
      Rating, 4.3 out of 5 stars
      ·
      36 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Patient Safety

      Skills you'll gain: Patient Safety, Stakeholder Engagement, Change Management, Conflict Management, Systems Thinking, Solution Design, Health Systems, Data Analysis, Corrective and Preventive Action (CAPA), Risk Analysis, Data Presentation, Safety Assurance, Nursing Management, Continuous Quality Improvement (CQI), Data Visualization Software, Risk Management, Patient Flow, Safety Training, Collaboration, Health Care

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

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Introduction to Trading, Machine Learning & GCP

      Skills you'll gain: Machine Learning, Google Cloud Platform, Applied Machine Learning, Supervised Learning, Time Series Analysis and Forecasting, Financial Trading, Deep Learning, Statistical Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Securities Trading, Technical Analysis, Financial Forecasting, Quantitative Research, Financial Modeling, Forecasting, Regression Analysis

      4
      Rating, 4 out of 5 stars
      ·
      876 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Reliable Google Cloud Infrastructure: Design and Process

      Skills you'll gain: Application Deployment, Cloud Infrastructure, CI/CD, Cloud Security, Service Level Agreement, Microservices, Service Level, Google Cloud Platform, Network Architecture, API Design, Site Reliability Engineering, Cloud Computing Architecture, Kubernetes, Restful API, Cloud Storage, Cloud Applications, Key Performance Indicators (KPIs), DevOps, Data Storage, System Design and Implementation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.2K reviews

      Advanced · Course · 1 - 3 Months

    • E

      Eindhoven University of Technology

      Improving your statistical inferences

      Skills you'll gain: Statistical Inference, Scientific Methods, Statistical Hypothesis Testing, Quantitative Research, Bayesian Statistics, Statistical Analysis, Statistical Methods, Probability & Statistics, Sample Size Determination, Research, Data Collection, R Programming, Data Sharing, Probability Distribution

      4.9
      Rating, 4.9 out of 5 stars
      ·
      796 reviews

      Intermediate · Course · 1 - 3 Months

    • N

      Northeastern University

      Healthcare Analytics Essentials

      Skills you'll gain: Health Informatics, Business Analytics, Analytics, Patient Safety, Health Care, Health Administration, Healthcare Industry Knowledge, Statistical Analysis, Business Intelligence, Quantitative Research, Performance Measurement, Performance Metric, Data Analysis, Data-Driven Decision-Making, Descriptive Analytics, Peer Review, Data Collection

      4.6
      Rating, 4.6 out of 5 stars
      ·
      33 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Virginia

      Artificial Intelligence in Marketing

      Skills you'll gain: Marketing Strategies, Digital Transformation, Marketing, Marketing Analytics, Data-Driven Decision-Making, Artificial Intelligence, Algorithms, Business Strategy, Competitive Analysis, Network Analysis, Customer experience improvement, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      291 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Codio

      Programming in C++: A Hands-on Introduction

      Skills you'll gain: Data Import/Export, C++ (Programming Language), Object Oriented Programming (OOP), Data Validation, Object Oriented Design, Programming Principles, Computer Programming, Data Structures, File Management, Integrated Development Environments, Software Documentation, Computer Science, Pseudocode, Maintainability, Data Storage

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.3K reviews

      Beginner · Specialization · 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

    • Successful Presentation: University of Colorado Boulder
    • Healthcare Marketplace: University of Minnesota
    • BIM Fundamentals for Engineers: National Taiwan University
    • Supply Chain Management and Analytics: Unilever
    • Data Analysis and Visualization with Python: Microsoft
    • Patient Safety: Johns Hopkins University
    • Introduction to Trading, Machine Learning & GCP: Google Cloud
    • Reliable Google Cloud Infrastructure: Design and Process: Google Cloud
    • Improving your statistical inferences: Eindhoven University of Technology
    • Healthcare Analytics Essentials : Northeastern University

    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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