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    Results for "data visualization"

    • Status: Free
      Free
      U

      University of Geneva

      Chemical Biology

      Skills you'll gain: Life Sciences, Scientific Visualization, Physics, Scientific Methods, Image Analysis, Research

      4.7
      Rating, 4.7 out of 5 stars
      ·
      138 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Build a Machine Learning Web App with Streamlit and Python

      Skills you'll gain: Machine Learning Algorithms, Dashboard, Interactive Data Visualization, Data Visualization Software, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Web Applications, Predictive Modeling, Classification And Regression Tree (CART), Python Programming, Application Development, Pandas (Python Package)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      400 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • F

      Fundação Instituto de Administração

      Data & Finance for the future

      Skills you'll gain: Financial Statement Analysis, Financial Statements, Financial Analysis, Business Analytics, Regression Analysis, Business Valuation, Descriptive Statistics, Data Analysis, Data-Driven Decision-Making, Statistical Inference, Financial Accounting, Balance Sheet, Cash Flows, Competitive Analysis, Financial Modeling, International Finance, Business Economics, Economics, Economic Development, Market Dynamics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      435 reviews

      Intermediate · Specialization · 3 - 6 Months

    • A

      Amazon Web Services

      Data Analytics and Databases on AWS

      Skills you'll gain: Extract, Transform, Load, Data-Driven Decision-Making, Amazon Web Services, Data Warehousing, Big Data, Databases, Business Analytics, NoSQL, Data Analysis, Unstructured Data, Data Processing, SQL, Relational Databases, Data Visualization Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      44 reviews

      Beginner · Course · 1 - 4 Weeks

    • R

      Rutgers the State University of New Jersey

      Supply Chain Analytics

      Skills you'll gain: Demand Planning, Competitive Intelligence, Strategic Sourcing, Customer Demand Planning, Competitive Analysis, Procurement, Market Intelligence, Supply Chain, Supplier Management, Inventory Management, Vendor Management, Management Consulting, Inventory Control, Supply Chain Management, Inventory Accounting, Forecasting, Inventory and Warehousing, Business Strategy, Business Intelligence, Supplier Performance Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Qlik Sense for Beginners: Analyze and Visualize Data

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

      4.1
      Rating, 4.1 out of 5 stars
      ·
      13 reviews

      Intermediate · Guided Project · Less Than 2 Hours

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      D

      Duke University

      Scripting with Python and SQL for Data Engineering

      Skills you'll gain: Web Scraping, MySQL, SQL, JSON, Scripting, Data Manipulation, Data Structures, Database Software, Database Management, Databases, Data Import/Export, Data Storage Technologies, Spatial Analysis, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      97 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      Status: Free
      Free
      R

      Rutgers the State University of New Jersey

      Analyzing the Universe

      Skills you'll gain: Data Analysis Software, Spatial Data Analysis, Image Analysis, Scientific Visualization, Science and Research, Physics, Physical Science, General Science and Research, Probability & Statistics, Research, Scientific Methods

      4.8
      Rating, 4.8 out of 5 stars
      ·
      230 reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      U

      University at Buffalo

      Data-Driven Process Improvement

      Skills you'll gain: Process Mapping, Data Collection, Process Improvement, Business Process, Data Strategy, Data-Driven Decision-Making, Performance Measurement, Business Intelligence, Business Analytics, Operational Performance Management, Gap Analysis, Key Performance Indicators (KPIs), Data Quality, Internet Of Things

      4.7
      Rating, 4.7 out of 5 stars
      ·
      223 reviews

      Beginner · Course · 1 - 4 Weeks

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      C

      Codio

      Programming in C++: A Hands-on Introduction

      Skills you'll gain: Data Import/Export, C++ (Programming Language), Object Oriented Programming (OOP), Data Validation, Object Oriented Design, Programming Principles, Computer Programming, Data Integrity, Data Structures, File Management, Integrated Development Environments, Software Documentation, Computer Science, Pseudocode, Data Storage

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Placeholder
      Status: Free
      Free
      M

      MathWorks

      Data Science Companion

      Skills you'll gain: Data Science, Data Processing, Machine Learning, Supervised Learning, Geographic Information Systems, Big Data, Data Visualization, Data Analysis, Amazon Web Services, Cloud Computing, Matlab, Data Cleansing, Regression Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      Status: [object Object]
      New AI skills
      A

      Adobe

      Adobe Marketing Specialist

      Skills you'll gain: Social Media Content, Target Audience, Content Creation, Marketing Channel, Content Marketing, Generative AI, Social Media, Design, Social Media Strategy, Design Elements And Principles, Typography, Social Media Marketing, Visual Design, Graphic and Visual Design, Marketing Analytics, Marketing Effectiveness, Marketing Strategies, Adobe Creative Cloud, Data Integrity, Creativity

      4.6
      Rating, 4.6 out of 5 stars
      ·
      276 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    Searches related to data visualization

    data visualization with tableau
    data visualization with python
    data visualization for genome biology
    data visualization with advanced excel
    data visualization in excel
    data visualization and dashboards with excel and cognos
    data visualization with r
    data visualization fundamentals
    1…717273…489

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

    • Chemical Biology: University of Geneva
    • Build a Machine Learning Web App with Streamlit and Python: Coursera Project Network
    • Data & Finance for the future: Fundação Instituto de Administração
    • Data Analytics and Databases on AWS: Amazon Web Services
    • Supply Chain Analytics: Rutgers the State University of New Jersey
    • Qlik Sense for Beginners: Analyze and Visualize Data: Coursera Project Network
    • Scripting with Python and SQL for Data Engineering: Duke University
    • Analyzing the Universe: Rutgers the State University of New Jersey
    • Data-Driven Process Improvement: University at Buffalo
    • Programming in C++: A Hands-on Introduction: Codio

    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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