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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

      DeepLearning.AI

      Natural Language Processing

      Skills you'll gain: Natural Language Processing, Supervised Learning, Markov Model, Text Mining, Dimensionality Reduction, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Machine Learning Methods, Data Processing, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence, Algorithms, Keras (Neural Network Library), Linear Algebra, Data Cleansing, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.1K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      C

      Campus BBVA

      Business Analytics

      Skills you'll gain: Data Storytelling, Data-Driven Decision-Making, Business Analytics, Dashboard, Data Quality, Data Analysis, Descriptive Statistics, Business Intelligence, Statistical Methods, Data Management, Probability & Statistics, Statistical Inference, Statistics, Big Data

      4.5
      Rating, 4.5 out of 5 stars
      ·
      162 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      V

      Vanderbilt University

      AI Agent Developer

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI Agents, Generative AI, OpenAI, Ideation, Verification And Validation, Data Validation, Data Presentation, Productivity, AI Personalization, Document Management, Python Programming, Agentic systems, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Personalized Service, Large Language Modeling, Risk Management Framework, Expense Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.9K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: AI skills
      AI skills
      I

      IBM

      IBM AI Product Manager

      Skills you'll gain: Prompt Engineering, Generative AI, New Product Development, Product Management, Product Lifecycle Management, Product Development, Innovation, Product Roadmaps, Large Language Modeling, ChatGPT, Artificial Intelligence, Product Planning, Commercialization, Product Strategy, Project Management Life Cycle, Data Ethics, OpenAI, Stakeholder Engagement, Artificial Intelligence and Machine Learning (AI/ML), Stakeholder Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      26K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • D

      DeepLearning.AI

      Convolutional Neural Networks

      Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, PyTorch (Machine Learning Library), Artificial Intelligence, Data Processing, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      42K reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      Business Data Management and Communication

      Skills you'll gain: Data Storytelling, Revenue Recognition, Financial Statements, Data Presentation, Data Visualization, Accrual Accounting, Cash Flows, Financial Accounting, Data Collection, Bookkeeping, Income Statement, Data Visualization Software, Business Valuation, Tidyverse (R Package), Balance Sheet, Data Quality, Data Processing, Business Analytics, Asset Management, Analytics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Illinois Urbana-Champaign

      Financial Analysis of Organizations

      Skills you'll gain: Financial Statements, Financial Statement Analysis, Financial Forecasting, Financial Accounting, Income Statement, Balance Sheet, Financial Analysis, Revenue Forecasting, Cash Flow Forecasting, Financial Data, Financial Modeling, Cash Flows, Equities, Business Valuation, Financial Planning, Capital Expenditure

      4.5
      Rating, 4.5 out of 5 stars
      ·
      117 reviews

      Beginner · Course · 1 - 4 Weeks

    • V

      Vanderbilt University

      Generative AI Automation

      Skills you'll gain: Prompt Engineering, ChatGPT, Ideation, Verification And Validation, Data Validation, Data Presentation, Productivity, Generative AI, Document Management, Data Synthesis, Image Analysis, Data Capture, Artificial Intelligence, OpenAI, Large Language Modeling, Data Analysis, Organizational Skills, Risk Management Framework, Computer Vision, Microsoft Excel

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      S

      Stanford University

      Organizational Analysis

      Skills you'll gain: Organizational Structure, Decision Making, Organizational Leadership, Organizational Change, Professional Networking, Strategic Decision-Making, Business, Social Sciences, Culture, Sociology, Analysis, Resource Management, Learning Theory, Innovation, Negotiation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Generative AI Fundamentals

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, OpenAI, Data Ethics, Large Language Modeling, Leadership and Management, Business Leadership, Strategic Leadership, Business Ethics, Legal Risk, IBM Cloud, Google Cloud Platform, Artificial Intelligence, Program Development, Artificial Neural Networks, Business Development, Deep Learning, Content Creation, Business Transformation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.8K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Pennsylvania

      AI Fundamentals for Non-Data Scientists

      Skills you'll gain: Generative AI, Big Data, Machine Learning, Customer Data Management, Tensorflow, Artificial Intelligence, Deep Learning, Algorithms, Process Optimization, Data Analysis, Artificial Neural Networks, Natural Language Processing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      729 reviews

      Mixed · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Executive Data Science

      Skills you'll gain: Data Quality, Exploratory Data Analysis, Employee Onboarding, Data Management, Team Motivation, Technical Communication, Data Analysis, Data Presentation, Project Management, Interviewing Skills, Data Science, Data-Driven Decision-Making, Management Training And Development, Organizational Leadership, Data Strategy, Team Management, Analytical Skills, Project Implementation, Team Building, Project Design

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11K reviews

      Beginner · Specialization · 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

    • Natural Language Processing: DeepLearning.AI
    • Business Analytics: Campus BBVA
    • AI Agent Developer: Vanderbilt University
    • IBM AI Product Manager: IBM
    • Convolutional Neural Networks: DeepLearning.AI
    • Business Data Management and Communication: University of Illinois Urbana-Champaign
    • Financial Analysis of Organizations: University of Illinois Urbana-Champaign
    • Generative AI Automation: Vanderbilt University
    • Organizational Analysis : Stanford University
    • Generative AI Fundamentals: IBM

    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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