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    • Data Visualization

    篩選依據

    ''data visualization'的 972 個結果

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      Coursera Project Network

      Formatieren mit Microsoft Excel

      您將獲得的技能: Data Science

      Beginner · Guided Project · Less Than 2 Hours

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      Coursera Project Network

      Einführung in die Datenvisualisierung mit Microsoft Excel

      您將獲得的技能: Microsoft Excel

      Beginner · Guided Project · Less Than 2 Hours

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      Coursera Project Network

      توقع حضور المواعيد الطبية باستخدام Python

      您將獲得的技能: Data Analysis, Feature Engineering, Machine Learning

      Intermediate · Guided Project · Less Than 2 Hours

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      Coursera Project Network

      Use Type and Fonts in Adobe Illustrator

      您將獲得的技能: Digital Marketing, Web Design

      Intermediate · Guided Project · Less Than 2 Hours

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      Google Cloud

      Consuming Customer Specific Datasets from Data Sharing Partners using BigQuery

      您將獲得的技能: Cloud Computing, Data Management

      Beginner · Project · Less Than 2 Hours

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      Coursera Project Network

      Créer un diagramme d’affinité avec Creately

      您將獲得的技能: Data Analysis

      Beginner · Guided Project · Less Than 2 Hours

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      Coursera Project Network

      نظره عامة عن البيانات المصورة باستخدام Tableau

      您將獲得的技能: Data Analysis, Tableau Software

      Beginner · Guided Project · Less Than 2 Hours

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      Google Cloud

      Analytics as a Service for Data Sharing Partners

      您將獲得的技能: Cloud Computing, Data Management

      Beginner · Project · Less Than 2 Hours

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      Google Cloud

      Data Publishing on BigQuery using Authorized Views for Data Sharing Partners

      您將獲得的技能: Cloud Computing, Data Management

      Beginner · Project · Less Than 2 Hours

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      免費

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      The Hong Kong University of Science and Technology

      Python and Statistics for Financial Analysis

      您將獲得的技能: Business Analysis, Computer Programming, Data Analysis, Financial Analysis, Python Programming, Statistical Programming, Finance, Investment Management, Probability & Statistics, Probability Distribution, Statistical Analysis, Basic Descriptive Statistics, Correlation And Dependence, General Statistics, Regression, Risk Management, Securities Trading, Statistical Tests, Accounting, Estimation

      4.4

      (3.6k 條評論)

      Intermediate · Course · 1-4 Weeks

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      Google Cloud

      Visualizing Data with Google Data Studio

      您將獲得的技能: Google Cloud Platform

      Intermediate · Project · Less Than 2 Hours

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      Coursera Project Network

      Visualization for Statistical Analysis

      您將獲得的技能: Exploratory Data Analysis, R Programming

      Beginner · Guided Project · Less Than 2 Hours

    與 data visualization 相關的搜索

    data visualization with python
    data visualization with tableau
    data visualization in excel
    data visualization with r
    data visualization and communication with tableau
    data visualization and dashboards with excel and cognos
    data visualization with tableau project
    data visualization with advanced excel
    1…626364…81

    總之,這是我們最受歡迎的 data visualization 門課程中的 10 門

    • Formatieren mit Microsoft Excel: Coursera Project Network
    • Einführung in die Datenvisualisierung mit Microsoft Excel: Coursera Project Network
    • توقع حضور المواعيد الطبية باستخدام Python: Coursera Project Network
    • Use Type and Fonts in Adobe Illustrator: Coursera Project Network
    • Consuming Customer Specific Datasets from Data Sharing Partners using BigQuery: Google Cloud
    • Créer un diagramme d’affinité avec Creately: Coursera Project Network
    • نظره عامة عن البيانات المصورة باستخدام Tableau: Coursera Project Network
    • Analytics as a Service for Data Sharing Partners: Google Cloud
    • Data Publishing on BigQuery using Authorized Views for Data Sharing Partners: Google Cloud
    • Python and Statistics for Financial Analysis: The Hong Kong University of Science and Technology

    關於 數據可視化 的常見問題

    • Data visualization, which is sometimes called information visualization, is the representation of datasets through graphical means such as charts, maps, visual analytics interfaces such as dashboards, and interactive visualizations. A picture is worth a thousand words - or a thousand lines of a spreadsheet - and the ability to convey key relationships within complex datasets and insights from data analysis in a visually compelling way is critically important to making sense of our world.

      While data visualizations may be as simple as a bar graph created in Microsoft Excel, the complexity, size, and velocity of datasets in the big data era often demand more powerful approaches. Specialized programs such as Tableau Software and the D3.js JavaScript library are widely used in the business world to create dynamic data visualizations, which may even incorporate real-time data streams. For particularly complex tasks, data virtualization software may also be used as middleware to integrate multiple sources and types of data into a format suitable for use with these visualization programs.‎

    • The ability to create data visualizations are increasingly expected in a variety of jobs, making these skills highly valuable as well as portable. Whether you’re a financial analyst at a hedge fund displaying a real-time dashboard of portfolio risk or a data journalist creating an interactive visualization map of the spread of Covid-19, compelling data visualizations can increase the impact of your work and give you an edge in your career.

      Management analysts are particularly attuned to the value of good data visualizations. These consultants must make convincing recommendations for organizational changes to upper-level management and busy executives, and powerful graphics can be essential to making these cases effectively. According to the Bureau of Labor Statistics, management analysts earned a median annual wage of $85,260 as of 2019, and these jobs are expected to grow much faster than average as more and more companies seek advice on navigating today’s fast-changing business world.‎

    • Yes! Coursera lets you learn remotely about data visualization and related topics with courses and Specializations from top-ranked schools like New York University, University of California, Davis, and the University of Illinois at Urbana-Champaign. You can also take courses from industry leaders like IBM and PwC, one of the top management consultancies in the world. Online learning with Coursera is an especially good fit for mid-career professionals seeking to add data visualization capabilities to their skill set, as you can complete coursework on a flexible schedule that fits into your existing work life.‎

    • Some skills you might want to have before learning data visualization include mathematics, Excel, and some coding experience. Specifically, learning popular programming languages like R and Python can be useful for analyzing the data you want to present in a visual format. Strong data analysis skills are usually essential because you should be able to interpret data accurately to avoid misleading the people viewing the final product. In addition to technology skills, you can put to use other skills in a data visualization role, such as problem-solving, artistic skills, and communication skills.‎

    • The right kind of person for a role in data visualization has a combination of technology, business, and communication skills. They typically know how to collect, analyze, and interpret data quickly and accurately using programming languages like R, Python, and JavaScript and tools such as Tableau, PowerBI, or Microsoft Excel. Someone with strong communication skills also tends to work well in this field. Being able to listen to the needs of the client and create a data visualization tool that accurately represents the data in a way that the audience understands is useful.‎

    • If you're comfortable working with large amounts of data and are passionate about making sure people understand the available data about a project, program, or concern, learning data visualization may be a good choice for you. You'll likely have opportunities to help others by sharing important data in a format that’s visually appealing and easy to interpret. Learning data visualization can add to your skillset if you've previously studied or worked as a graphic designer or data analyst. You may choose to learn a programming language so you can develop your own data warehouse or another visualization tool to showcase the data you analyze, or you can decide to explore the variety of methods used to create visual displays of data.‎

    此常見問題解答內容僅供參考。建議學生多做研究,確保所追求的課程和其他證書符合他們的個人、專業和財務目標。
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