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    • Exploratory Data Analysis

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    323 results for "exploratory data analysis"

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      Wesleyan University

      Regression Modeling in Practice

      Skills you'll gain: Advertising, Algebra, Business Analysis, Communication, Computer Programming, Data Analysis, Econometrics, General Statistics, Leadership and Management, Machine Learning, Machine Learning Algorithms, Marketing, Mathematics, Probability & Statistics, Python Programming, Regression, Statistical Analysis, Statistical Programming

      4.4

      (273 reviews)

      Mixed · Course · 1-4 Weeks

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      Fundação Instituto de Administração

      Análise de Dados Quantitativos

      Skills you'll gain: Data Analysis, SPSS, Statistical Programming, General Statistics

      4.5

      (16 reviews)

      Beginner · Course · 1-4 Weeks

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      Fundação Instituto de Administração

      Pesquisa de Mercado e Estratégia de Marketing

      Skills you'll gain: Marketing, Data Analysis, Market Analysis, SPSS, Statistical Programming, General Statistics

      4.6

      (19 reviews)

      Beginner · Specialization · 3-6 Months

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      Johns Hopkins University

      Gestion de l’analyse des données

      4.5

      (6 reviews)

      Mixed · Course · 1-4 Weeks

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      SAS

      Building a Large-Scale, Automated Forecasting System

      Intermediate · Course · 1-3 Months

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      University of Illinois at Urbana-Champaign

      Data Modeling and Regression Analysis in Business

      Skills you'll gain: Data Management, Probability & Statistics, Statistical Programming, Accounting, Statistical Analysis

      4.3

      (52 reviews)

      Intermediate · Course · 1-4 Weeks

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      Free

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      Universidad Austral

      Principios esenciales de diseño en Tableau

      Skills you'll gain: Business Analysis, Data Visualization, Data Visualization Software

      4.3

      (18 reviews)

      Beginner · Course · 1-4 Weeks

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      Coursera Project Network

      Azure Synapse Analytics: desde el DWH, hasta PowerBI y Spark

      Skills you'll gain: Cloud Computing, Microsoft Azure, Power BI

      4.2

      (6 reviews)

      Intermediate · Guided Project · Less Than 2 Hours

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      Fundação Instituto de Administração

      Análise de Segmentação de Mercado

      Beginner · Course · 1-4 Weeks

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      Google Cloud

      Launching into Machine Learning em Português Brasileiro

      Skills you'll gain: Machine Learning, Tensorflow

      4.5

      (31 reviews)

      Beginner · Course · 1-3 Months

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      Coursera Project Network

      Introdução a Machine Learning em uma Competição do Kaggle

      Skills you'll gain: Machine Learning, Python Programming

      Beginner · Guided Project · Less Than 2 Hours

    Searches related to exploratory data analysis

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    exploratory data analysis with textual data in r / quanteda
    1…24252627

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

    • Regression Modeling in Practice: Wesleyan University
    • Análise de Dados Quantitativos: Fundação Instituto de Administração
    • Pesquisa de Mercado e Estratégia de Marketing: Fundação Instituto de Administração
    • Gestion de l’analyse des données: Johns Hopkins University
    • Building a Large-Scale, Automated Forecasting System: SAS
    • Data Modeling and Regression Analysis in Business: University of Illinois at Urbana-Champaign
    • Principios esenciales de diseño en Tableau: Universidad Austral
    • Azure Synapse Analytics: desde el DWH, hasta PowerBI y Spark: Coursera Project Network
    • Análise de Segmentação de Mercado: Fundação Instituto de Administração
    • Launching into Machine Learning em Português Brasileiro: Google Cloud

    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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