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    • Data Visualization

    Data Visualization Courses Online

    Learn data visualization techniques for presenting data effectively. Understand how to create charts, graphs, and dashboards using various tools.

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    Explore the Data Visualization Course Catalog

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      G

      Google Cloud

      Responsible AI for Developers: Privacy & Safety - Українська

      Skills you'll gain: Information Privacy, Cloud Security, Personally Identifiable Information, Google Cloud Platform, Data Ethics, Generative AI, Data Security, Open Source Technology, Safety and Security, Artificial Intelligence, Machine Learning Methods

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Gemini in Google Sheets - Português Brasileiro

      Skills you'll gain: Google Sheets, Google Workspace, Generative AI, Spreadsheet Software, Data Management

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Smart Analytics, Machine Learning and AI on GC - 한국어

      Skills you'll gain: Google Cloud Platform, Unstructured Data, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Big Data, Cloud API, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Jupyter

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Building Resilient Streaming Analytics Systems on GC - 한국어

      Skills you'll gain: Data Pipelines, Google Cloud Platform, Real Time Data, Data Processing, Big Data, Analytics, Cloud Services, Performance Tuning, Scalability

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      A

      Amazon Web Services

      Amazon Connect: Introduction to the Administrative Interface

      Skills you'll gain: Dashboard, Business Reporting, Management Reporting, Performance Reporting, Ad Hoc Reporting, Real Time Data, Call Center Experience, Administrative Support, Trend Analysis, Workforce Management

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini in Google Drive - 简体中文

      Skills you'll gain: Google Workspace, Document Management, Generative AI, File Management, Real Time Data, Information Architecture

      Beginner · Course · 1 - 4 Weeks

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      Status: New
      New
      G

      Google Cloud

      Cloud NGFW: Migrate VPC Firewall Rules that use Network Tags

      Skills you'll gain: Google Cloud Platform, Cloud Security, Network Security, Network Administration, Firewall, Data Migration

      Intermediate · Project · Less Than 2 Hours

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      Status: New
      New
      G

      Google Cloud

      Introducción al análisis de datos en Google Cloud

      Skills you'll gain:

      Beginner · Course · 1 - 3 Months

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      P

      Pontificia Universidad Católica de Chile

      Certificado en Introducción a la Ciencia de Datos

      Skills you'll gain: Predictive Analytics, Unsupervised Learning, Data Cleansing, Exploratory Data Analysis, Dimensionality Reduction, Data Science, Descriptive Analytics, Supervised Learning, Regression Analysis, Visualization (Computer Graphics), Data Visualization, Machine Learning Algorithms, Data-Driven Decision-Making, Data Processing, Time Series Analysis and Forecasting, Data Visualization Software, Statistical Machine Learning, Statistical Visualization, Machine Learning, Matplotlib

      Credit offered

      Mastertrack · 6 - 12 Months

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      Status: New
      New
      G

      Google Cloud

      Comprende Cloud Spanner

      Skills you'll gain:

      Intermediate · Course · 1 - 3 Months

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      U

      University of Pittsburgh

      Master of Data Science

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

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      U

      Universidad de los Andes

      Analítica de datos: visualización, predicción y toma de decisiones Certificado MasterTrack®

      Skills you'll gain: Network Analysis, Data Storytelling, Predictive Modeling, Marketing Analytics, Cash Flows, Matplotlib, Financial Data, Financial Statement Analysis, Portfolio Management, Data Cleansing, Advertising, Applied Machine Learning, Statistical Machine Learning, Machine Learning, Data Visualization, Random Forest Algorithm, Operations Research, Natural Language Processing, Mathematical Modeling, Systems Analysis

      Credit offered

      Mastertrack · 6 - 12 Months

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

    • Responsible AI for Developers: Privacy & Safety - Українська: Google Cloud
    • Gemini in Google Sheets - Português Brasileiro: Google Cloud
    • Smart Analytics, Machine Learning and AI on GC - 한국어: Google Cloud
    • Building Resilient Streaming Analytics Systems on GC - 한국어: Google Cloud
    • Amazon Connect: Introduction to the Administrative Interface: Amazon Web Services
    • Gemini in Google Drive - 简体中文: Google Cloud
    • Cloud NGFW: Migrate VPC Firewall Rules that use Network Tags: Google Cloud
    • Introducción al análisis de datos en Google Cloud: Google Cloud
    • Certificado en Introducción a la Ciencia de Datos: Pontificia Universidad Católica de Chile
    • Comprende Cloud Spanner: Google Cloud

    Frequently Asked Questions about Data Visualization

    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.‎

    If you're looking for the best free data visualization courses available, try auditing one of these courses Data Visualization Specialization, Excel Data Analytics and Visualization Specialization, Fundamentals of Data Visualization Course, Data Visualization and Dashboarding with R Specialization or Data Analysis and Visualization Foundations Specialization. In the audit version, you can assess most of the material but will not be able to submit assignments or receive grades or a certificate for your work unless you upgrade.‎

    For those seeking to get started in data visualization, the Data Visualization with Tableau offers valuable insight into topics such as practices, theories, and tools used in data visualization. Additionally, the Data Analysis and Visualization Foundations Specialization covers the fundamentals of data visualization. For those wishing to learn R programming for data visualization methods, the Data Visualization and Dashboarding with R Specialization is a great option. Those looking for data visualization with Python can sign up for Python for Data Visualization and for Tableau, Data Visualization with Tableau provides an introduction to analytics and data visualization.‎

    For those looking to excel in advanced data visualization, Coursera offers an extensive range of courses. These include the Excel, Data Visualization & Analytics Specialization, Fundamentals of Data Visualization, Python for Data Visualization, Excel for Data Visualization, and Data Visualization Project.‎

    Online Data Visualization courses offer a convenient and flexible way to enhance your knowledge or learn new Data Visualization skills. Choose from a wide range of Data Visualization courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Data Visualization, 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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