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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 California, Irvine

      Effective Problem-Solving and Decision-Making

      Skills you'll gain: Creative Problem-Solving, Problem Solving, Decision Making, Creativity, Organizational Effectiveness, Critical Thinking and Problem Solving, Strategic Decision-Making, Business Solutions, Key Performance Indicators (KPIs), Professional Development, Root Cause Analysis, Personal Development, Adaptability, Analytical Skills

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

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Copenhagen Business School

      Strategic Management

      Skills you'll gain: Strategic Thinking, Business Strategy, Business Strategies, Strategic Decision-Making, Strategic Leadership, Business Transformation, Technology Strategies, Competitive Analysis, Global Marketing, Market Share

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

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Deep Learning & Neural Networks with Keras

      Skills you'll gain: Keras (Neural Network Library), Deep Learning, Unsupervised Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Tensorflow, Image Analysis, Computer Vision, Natural Language Processing, Machine Learning Algorithms

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

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Introduction to Data Science and scikit-learn in Python

      Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, NumPy, Data Analysis, Data Processing, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning, Classification And Regression Tree (CART), Statistical Methods, Computer Programming, Data Structures

      3.7
      Rating, 3.7 out of 5 stars
      ·
      49 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Accounting Analytics

      Skills you'll gain: Financial Data, Financial Analysis, Financial Statement Analysis, Financial Forecasting, Business Analytics, Predictive Analytics, Analytics, Forecasting, Financial Statements, Accounting, Business Metrics, Performance Analysis, Anomaly Detection, Return On Investment, Key Performance Indicators (KPIs), Business Strategy

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      T

      Tecnológico de Monterrey

      Administración de Proyectos: Principios Básicos

      Skills you'll gain: Project Scoping, Stakeholder Management, Risk Analysis, Project Management Life Cycle, Stakeholder Engagement, Project Risk Management, Cost Management, Work Breakdown Structure, Risk Management, Change Control, Project Schedules, Communication Planning, Project Management, Project Controls, Project Performance, Project Planning, Earned Value Management, Project Documentation, Risk Mitigation, Cost Estimation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.9K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Creating Business Value with Data and Looker

      Skills you'll gain: Looker (Software), Dashboard, Data Governance, Digital Transformation, Real Time Data, Google Cloud Platform, Data Modeling, Data Management, Data Warehousing, Data Visualization Software, Data Analysis, Data Sharing, Big Data, Cloud Storage, Analytics, Business Intelligence, Data Presentation, Data Processing, Database Design, Performance Tuning

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

      Intermediate · Specialization · 3 - 6 Months

    • G

      Georgia Institute of Technology

      Mechanics of Materials I: Fundamentals of Stress & Strain and Axial Loading

      Skills you'll gain: Structural Analysis, Mechanical Engineering, Failure Analysis, Engineering Analysis, Mechanics, Engineering Calculations, Civil Engineering, Mathematical Modeling, Laboratory Testing, Engineering Design Process

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.5K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Finding, Sorting, & Filtering Data in Microsoft Excel

      Skills you'll gain: Microsoft Excel, Spreadsheet Software, Data Analysis Expressions (DAX), Business Intelligence, Data Entry

      4.7
      Rating, 4.7 out of 5 stars
      ·
      430 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      AI for Good

      Skills you'll gain: Disaster Recovery, Data Analysis, Jupyter, Exploratory Data Analysis, Data Ethics, Image Analysis, Emergency Response, Artificial Intelligence, Machine Learning, Predictive Modeling, Applied Machine Learning, Mitigation, Text Mining, Environmental Monitoring, Natural Language Processing, Unstructured Data, Information Privacy, Deep Learning, Data Processing, Forecasting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      467 reviews

      Beginner · Specialization · 1 - 3 Months

    • L

      LearnQuest

      Cloud Computing Basics (Cloud 101)

      Skills you'll gain: Cloud Computing, Cloud Services, Cloud Technologies, Cloud Infrastructure, Cloud Computing Architecture, Public Cloud, Infrastructure As A Service (IaaS), Serverless Computing, Amazon Web Services, Virtual Machines, Hybrid Cloud Computing, Software As A Service, Private Cloud, Microsoft Azure, Platform As A Service (PaaS), Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.5K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Fundamentals of Social Media Advertising

      Skills you'll gain: Paid media, Instagram, Online Advertising, Social Media, Social Media Campaigns, Advertising Campaigns, Advertising, Digital Advertising, Marketing Materials, Social Media Marketing, Social Media Content, Social Media Strategy, Facebook, Copywriting, Content Creation, Marketing, Information Privacy, Data Collection, Target Audience

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.5K reviews

      Beginner · 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

    • Effective Problem-Solving and Decision-Making: University of California, Irvine
    • Strategic Management: Copenhagen Business School
    • Introduction to Deep Learning & Neural Networks with Keras: IBM
    • Introduction to Data Science and scikit-learn in Python: LearnQuest
    • Accounting Analytics: University of Pennsylvania
    • Administración de Proyectos: Principios Básicos: Tecnológico de Monterrey
    • Creating Business Value with Data and Looker: Google Cloud
    • Mechanics of Materials I: Fundamentals of Stress & Strain and Axial Loading: Georgia Institute of Technology
    • Finding, Sorting, & Filtering Data in Microsoft Excel: Coursera Project Network
    • AI for Good: DeepLearning.AI

    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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