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    • Exploratory Data Analysis

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    320 results for "exploratory data analysis"

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      IBM Skills Network

      Exploratory Data Analysis for Machine Learning

      Skills you'll gain: Data Analysis, Machine Learning, Business Analysis, Exploratory Data Analysis, Feature Engineering, Bayesian Statistics, NoSQL, Probability Distribution, Basic Descriptive Statistics, Computer Programming, Correlation And Dependence, Data Visualization, Deep Learning, Estimation, Python Programming, Regression, SQL, Statistical Programming, Statistical Tests

      4.6

      (1.1k reviews)

      Intermediate · Course · 1-3 Months

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      Coursera Project Network

      Exploratory Data Analysis With Python and Pandas

      Skills you'll gain: Business Analysis, Computer Programming, Data Analysis, Data Visualization, Exploratory Data Analysis, Plot (Graphics), Probability & Statistics, Python Programming, Statistical Programming

      4.5

      (350 reviews)

      Beginner · Guided Project · Less Than 2 Hours

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      Johns Hopkins University

      Exploratory Data Analysis

      Skills you'll gain: Data Analysis, Data Visualization Software, Exploratory Data Analysis, Software Visualization, Statistical Visualization, Business Analysis, Data Visualization, Plot (Graphics), Probability & Statistics

      4.7

      (6k reviews)

      Mixed · Course · 1-4 Weeks

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      MathWorks

      Exploratory Data Analysis with MATLAB

      Skills you'll gain: Business Analysis, Data Analysis, Exploratory Data Analysis, Probability & Statistics, Data Analysis Software, Mathematics, Matlab, Data Visualization, Plot (Graphics)

      4.8

      (770 reviews)

      Beginner · Course · 1-3 Months

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      University of Illinois at Urbana-Champaign

      Tools for Exploratory Data Analysis in Business

      Skills you'll gain: Data Analysis, Data Visualization, Business Analysis, Data Management, Exploratory Data Analysis, Probability & Statistics, Big Data, R Programming, Statistical Programming

      4.7

      (27 reviews)

      Beginner · Course · 1-4 Weeks

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      University of Michigan

      Exploratory Data Analysis for the Public Sector with ggplot

      Skills you'll gain: Data Visualization

      Intermediate · Course · 1-4 Weeks

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      Coursera Project Network

      Exploratory Data Analysis

      Skills you'll gain: Basic Descriptive Statistics, Business Analysis, Data Analysis, Data Visualization, Exploratory Data Analysis, Probability & Statistics, Python Programming

      4.2

      (134 reviews)

      Intermediate · Guided Project · Less Than 2 Hours

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      Coursera Project Network

      Exploratory Data Analysis in R

      Skills you'll gain: Business Analysis, Data Analysis, Exploratory Data Analysis, Probability & Statistics, R Programming, Statistical Programming

      4.4

      (10 reviews)

      Intermediate · Guided Project · Less Than 2 Hours

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      Coursera Project Network

      Exploratory Data Analysis with Seaborn

      Skills you'll gain: Business Analysis, Data Analysis, Data Visualization, Exploratory Data Analysis, Plot (Graphics), Probability & Statistics, Data Science, Machine Learning, Python Programming

      4.6

      (409 reviews)

      Intermediate · Guided Project · Less Than 2 Hours

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      Coursera Project Network

      Exploratory Data Analysis with Textual Data in R / Quanteda

      Skills you'll gain: Computer Programming, Data Analysis, Data Mining, Machine Learning, Natural Language Processing, R Programming, Statistical Programming

      4.9

      (7 reviews)

      Beginner · Guided Project · Less Than 2 Hours

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      Coursera Project Network

      Conducting Exploratory Data Analysis

      Skills you'll gain: Data Analysis

      Intermediate · Guided Project · Less Than 2 Hours

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      Google Cloud

      Exploratory Data Analysis Using AI Platform

      Intermediate · Project · Less Than 2 Hours

    Searches related to exploratory data analysis

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

    • Exploratory Data Analysis for Machine Learning: IBM Skills Network
    • Exploratory Data Analysis With Python and Pandas: Coursera Project Network
    • Exploratory Data Analysis: Johns Hopkins University
    • Exploratory Data Analysis with MATLAB: MathWorks
    • Tools for Exploratory Data Analysis in Business: University of Illinois at Urbana-Champaign
    • Exploratory Data Analysis for the Public Sector with ggplot: University of Michigan
    • Exploratory Data Analysis: Coursera Project Network
    • Exploratory Data Analysis in R: Coursera Project Network
    • Exploratory Data Analysis with Seaborn: Coursera Project Network
    • Exploratory Data Analysis with Textual Data in R / Quanteda: Coursera Project Network

    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.‎

    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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