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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
      Free
      U

      University of London

      The Manager's Toolkit: A Practical Guide to Managing People at Work

      Skills you'll gain: People Management, Conflict Management, Human Resources Management and Planning, Employee Performance Management, Leadership and Management, Leadership, Performance Management, Business Leadership, Interviewing Skills, Compensation Management, Decision Making, Recruitment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.2K reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of California, Davis

      GIS Data Formats, Design and Quality

      Skills you'll gain: Spatial Data Analysis, Spatial Analysis, ArcGIS, Geographic Information Systems, Geospatial Mapping, Data Quality, Data Mapping, Data Modeling, Data Storage, Data Sharing, Data Manipulation, Relational Databases, Query Languages

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      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

    • U

      University of California, Davis

      Professional Skills for the Workplace

      Skills you'll gain: Problem Solving, Active Listening, Growth Mindedness, Adaptability, Emotional Intelligence, Relationship Management, Empathy, Brainstorming, Critical Thinking, Resilience, Communication Strategies, Social Skills, Creative Thinking, Professional Development, Personal Development, Constructive Feedback, Lifelong Learning, Positivity, Overcoming Obstacles, Self-Awareness

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.9K reviews

      Beginner · Specialization · 3 - 6 Months

    • K

      Kennesaw State University

      Six Sigma Green Belt

      Skills you'll gain: Statistical Process Controls, Statistical Hypothesis Testing, Process Capability, Team Management, Quality Improvement, Root Cause Analysis, Six Sigma Methodology, Lean Six Sigma, Lean Methodologies, Exploratory Data Analysis, Process Improvement, Quality Control, Probability & Statistics, Operational Excellence, Statistical Analysis, Process Analysis, Process Mapping, Correlation Analysis, Business Process Management, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Washington

      Machine Learning Foundations: A Case Study Approach

      Skills you'll gain: Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Computer Vision, Application Development, Predictive Modeling, Natural Language Processing, Text Mining, Data Mining, Information Architecture

      4.6
      Rating, 4.6 out of 5 stars
      ·
      14K reviews

      Mixed · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      AI for Medicine

      Skills you'll gain: Deep Learning, Statistical Analysis, Clinical Trials, Feature Engineering, Risk Modeling, Treatment Planning, Data Analysis, Precision Medicine, Decision Tree Learning, Predictive Modeling, Patient Treatment, Image Analysis, Machine Learning Methods, Applied Machine Learning, AI Personalization, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Medical Imaging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Intermediate · Specialization · 1 - 3 Months

    • U

      University of Colorado Boulder

      Databases for Data Scientists

      Skills you'll gain: Database Design, SQL, Database Management Systems, NoSQL, Relational Databases, Data Warehousing, Database Theory, Database Architecture and Administration, Databases, Database Systems, Database Management, Data Modeling, Query Languages, Big Data, Data Integrity, Data Access, Data Analysis, Data Manipulation, Data Processing, Transaction Processing

      Build toward a degree

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

      Beginner · Specialization · 3 - 6 Months

    • 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, Financial Analysis, Project Schedules, 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
      ·
      8.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      Duke University

      Introductory C Programming

      Skills you'll gain: Debugging, Maintainability, Programming Principles, Algorithms, Software Testing, Program Development, C (Programming Language), Pseudocode, Computational Thinking, Software Engineering, Simulations, System Programming, Data Structures, Software Development, Computer Programming, Command-Line Interface, Operating Systems, Development Environment, User Interface (UI), Data Import/Export

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      CertNexus

      Analyze Data

      Skills you'll gain: Data Analysis, Data Visualization, Statistical Analysis, Exploratory Data Analysis, Business Analytics, Analytical Skills, Data Processing, Data Transformation, Descriptive Statistics, Histogram, Scatter Plots, Applied Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      Università Bocconi

      Food & Beverage Management

      Skills you'll gain: Food and Beverage, Hospitality Management, Restaurant Management, Product Quality (QA/QC), Global Marketing, Market Dynamics, Business Strategy, Consumer Behaviour, Value Propositions, Competitive Analysis, Innovation, Brand Management, Growth Strategies

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

      Mixed · Course · 1 - 3 Months

    Exploratory Data Analysis learners also search

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

    • The Manager's Toolkit: A Practical Guide to Managing People at Work: University of London
    • GIS Data Formats, Design and Quality: University of California, Davis
    • Oil & Gas Industry Operations and Markets : Duke University
    • Professional Skills for the Workplace: University of California, Davis
    • Six Sigma Green Belt: Kennesaw State University
    • Machine Learning Foundations: A Case Study Approach: University of Washington
    • AI for Medicine: DeepLearning.AI
    • Databases for Data Scientists: University of Colorado Boulder
    • Éxito Profesional: University of California, Irvine
    • Introductory C Programming: Duke 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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