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    • Data Visualization

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    994 results for "data visualization"

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      UNSW Sydney (The University of New South Wales)

      Designing the Future of Work

      Skills you'll gain: Entrepreneurship, Leadership and Management, Problem Solving, Research and Design, Adaptability, Business Analysis, Business Psychology, Business Transformation, Design and Product

      4.7

      (228 reviews)

      Beginner · Course · 1-4 Weeks

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      Coursera Project Network

      SARS-CoV-2 Protein Modeling and Drug Docking

      Skills you'll gain: Bioinformatics, Experiment, General Statistics, Probability & Statistics

      4.7

      (83 reviews)

      Intermediate · Guided Project · Less Than 2 Hours

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      Google

      Analyse de données avec la programmation R

      Skills you'll gain: R Programming, Statistical Programming

      Beginner · Course · 1-3 Months

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      University of Glasgow

      Explainable deep learning models for healthcare - CDSS 3

      Intermediate · Course · 1-4 Weeks

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      University of Colorado Boulder

      Introduction to Data Analytics for Business

      Skills you'll gain: Data Analysis, Basic Descriptive Statistics, Database Design, Database Theory, Databases, Data Management, Data Model, Data Structures, Exploratory Data Analysis, Business Analysis, Cloud Computing, SQL, Statistical Programming

      4.7

      (3k reviews)

      Mixed · Course · 1-4 Weeks

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      Cloudera

      Foundations for Big Data Analysis with SQL

      Skills you'll gain: Data Management, Databases, Big Data, Data Structures, SQL, Database Administration, Database Design, Database Theory, Computer Architecture, Data Analysis, Data Warehousing, Database Application, Distributed Computing Architecture, Statistical Programming

      4.8

      (1.1k reviews)

      Beginner · Course · 1-3 Months

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      Cloudera

      Analyzing Big Data with SQL

      Skills you'll gain: Data Management, Databases, SQL, Statistical Programming, Big Data, Apache, Cloud Computing, Cloud Platforms, Computer Architecture, Distributed Computing Architecture, Human Computer Interaction, Software Engineering, Theoretical Computer Science, User Experience, Computer Programming, Data Analysis, Programming Principles

      4.9

      (509 reviews)

      Beginner · Course · 1-3 Months

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      Duke University

      Cloud Virtualization, Containers and APIs

      Skills you'll gain: DevOps, Cloud Computing, Continuous Delivery, Kubernetes, Operations Management, Strategy and Operations

      4.5

      (72 reviews)

      Beginner · Course · 1-4 Weeks

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      Intel

      Data Platform, Cloud Networking and AI in the Cloud

      Skills you'll gain: Cloud Computing, Cloud Platforms, Databases

      Beginner · Course · 1-4 Weeks

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      Cloudera

      Managing Big Data in Clusters and Cloud Storage

      Skills you'll gain: Big Data, Data Management, Databases, SQL, Statistical Programming, Cloud Computing, Cloud Storage, Data Structures, Theoretical Computer Science, Apache, Computer Architecture, Computer Programming, Data Model, Distributed Computing Architecture, Programming Principles

      4.7

      (284 reviews)

      Beginner · Course · 1-3 Months

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      Microsoft

      Introduction to Microsoft Azure Cloud Services

      Skills you'll gain: Cloud Computing, Microsoft Azure, Cloud Infrastructure, Cloud Management, Data Management, Databases, Leadership and Management, SQL, Statistical Programming

      4.6

      (1.5k reviews)

      Beginner · Course · 1-4 Weeks

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      IBM Skills Network

      Introduction to Cloud Computing

      Skills you'll gain: Cloud Computing, Cloud Engineering, Cloud Infrastructure, Cloud Applications, Cloud Management, Cloud Platforms, Cloud Storage, DevOps, IBM Cloud, Network Security, Software As A Service, Software Engineering, BlockChain, Computer Architecture, Computer Graphics, Computer Programming, Finance, Human Computer Interaction, Interactive Design, Operating Systems, Security Engineering, Software Architecture, Software Framework, System Programming, Theoretical Computer Science

      4.7

      (3.4k reviews)

      Beginner · Course · 1-3 Months

    Searches related to data visualization

    data visualization in excel
    data visualization with tableau
    data visualization with r
    data visualization & dashboarding with r
    data visualization in tableau: create dashboards and stories
    data visualization with tableau project
    data visualization in microsoft powerpoint
    data visualization with python
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    In summary, here are 10 of our most popular data visualization courses

    • Designing the Future of Work: UNSW Sydney (The University of New South Wales)
    • SARS-CoV-2 Protein Modeling and Drug Docking: Coursera Project Network
    • Analyse de données avec la programmation R: Google
    • Explainable deep learning models for healthcare - CDSS 3: University of Glasgow
    • Introduction to Data Analytics for Business: University of Colorado Boulder
    • Foundations for Big Data Analysis with SQL: Cloudera
    • Analyzing Big Data with SQL: Cloudera
    • Cloud Virtualization, Containers and APIs: Duke University
    • Data Platform, Cloud Networking and AI in the Cloud: Intel
    • Managing Big Data in Clusters and Cloud Storage: Cloudera

    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.‎

    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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