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    Results for "data visualization"

    • J

      Johns Hopkins University

      Measurement – Turning Concepts into Data

      Skills you'll gain: General Statistics, Research and Design, Data Analysis, Statistical Analysis, Basic Descriptive Statistics, Probability & Statistics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      74 reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Algorithms for DNA Sequencing

      Skills you'll gain: Algorithms, Bioinformatics, Computer Programming, Python Programming, Computational Thinking, Data Structures, Data Analysis, Programming Principles, Computational Logic, Computer Programming Tools

      4.7
      Rating, 4.7 out of 5 stars
      ·
      898 reviews

      Mixed · Course · 1 - 4 Weeks

    • M

      Microsoft

      Microsoft Azure Machine Learning for Data Scientists

      Skills you'll gain: Algorithms, Applied Machine Learning, Human Learning, Machine Learning, Machine Learning Algorithms, Machine Learning Software, Microsoft Azure, Cloud Computing, Regression, Training

      4.3
      Rating, 4.3 out of 5 stars
      ·
      152 reviews

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Vertex AI Tabular Data: Qwik Start

      Skills you'll gain: Cloud Computing, Data Model

      Intermediate · Project · Less Than 2 Hours

    • G

      Google Cloud

      Leveraging Unstructured Data with Cloud Dataproc on Google Cloud em Português Brasileiro

      Skills you'll gain: Databases, Computer Networking, Cloud Computing, Communication, Data Management, Business Analysis, Computer Architecture, Data Analysis, Network Security

      4.6
      Rating, 4.6 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 4 Weeks

    • W

      Wesleyan University

      Machine Learning for Data Analysis

      Skills you'll gain: Human Learning, Machine Learning

      4.2
      Rating, 4.2 out of 5 stars
      ·
      322 reviews

      Mixed · Course · 1 - 4 Weeks

    • Placeholder
      U

      University of Illinois Urbana-Champaign

      Text Retrieval and Search Engines

      Skills you'll gain: Machine Learning, Natural Language Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      953 reviews

      Mixed · Course · 1 - 3 Months

    • Placeholder
      D

      Duke University

      MLOps Platforms: Amazon SageMaker and Azure ML

      Skills you'll gain: Machine Learning, Microsoft Azure, Python Programming

      3.7
      Rating, 3.7 out of 5 stars
      ·
      38 reviews

      Advanced · Course · 1 - 3 Months

    • Placeholder
      J

      Johns Hopkins University

      Managing Data Analysis

      Skills you'll gain: Data Analysis, Exploratory Data Analysis, General Statistics, Probability & Statistics, Statistical Analysis, Correlation And Dependence, Critical Thinking, Data Management, Decision Making, Data Model, Leadership and Management, Communication

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • Placeholder
      M

      Microsoft

      Microsoft PL-300 Exam Preparation and Practice

      Skills you'll gain: Data Analysis, Data Model

      4.6
      Rating, 4.6 out of 5 stars
      ·
      292 reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      G

      Google Cloud

      Build and Execute MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors

      Skills you'll gain: PostgreSQL

      4.8
      Rating, 4.8 out of 5 stars
      ·
      12 reviews

      Beginner · Project · Less Than 2 Hours

    • Placeholder
      G

      Google Cloud

      Modernizing Data Lakes and Data Warehouses with Google Cloud

      Skills you'll gain: Cloud Computing, Cloud Storage, Data Warehousing, Google Cloud Platform

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.8K reviews

      Intermediate · Course · 1 - 3 Months

    Searches related to data visualization

    data visualization and communication with tableau
    data visualization with tableau
    data visualization and dashboards with excel and cognos
    data visualization with python
    data visualization in excel
    data visualization with r
    data visualization with advanced excel
    data visualization in tableau: create dashboards and stories
    1…575859…412

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

    • Measurement – Turning Concepts into Data: Johns Hopkins University
    • Algorithms for DNA Sequencing: Johns Hopkins University
    • Microsoft Azure Machine Learning for Data Scientists: Microsoft
    • Vertex AI Tabular Data: Qwik Start: Google Cloud
    • Leveraging Unstructured Data with Cloud Dataproc on Google Cloud em Português Brasileiro: Google Cloud
    • Machine Learning for Data Analysis: Wesleyan University
    • Text Retrieval and Search Engines: University of Illinois Urbana-Champaign
    • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
    • Managing Data Analysis: Johns Hopkins University
    • Microsoft PL-300 Exam Preparation and Practice: Microsoft

    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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