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    Results for "data visualization"

    • I

      IBM

      What is Data Science?

      Skills you'll gain: Data Mining, Big Data, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Data-Driven Decision-Making, Business Logic, Deep Learning, Machine Learning, Artificial Intelligence

      4.7
      Rating, 4.7 out of 5 stars
      ·
      74K reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Data Analysis with Python

      Skills you'll gain: Data Wrangling, Data Cleansing, Data Analysis, Data Manipulation, Data Transformation, Data Import/Export, Exploratory Data Analysis, Predictive Analytics, Statistical Analysis, Regression Analysis, Predictive Modeling, Pandas (Python Package), Scikit Learn (Machine Learning Library), Statistical Modeling, Machine Learning Methods, Feature Engineering, Python Programming, Data Pipelines, NumPy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19K reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google

      Analyze Data to Answer Questions

      Skills you'll gain: Data Validation, Spreadsheet Software, Data Analysis, Data Manipulation, Excel Formulas, Query Languages, Pivot Tables And Charts, SQL, Data Transformation, Database Management, Data Import/Export, Constructive Feedback

      4.6
      Rating, 4.6 out of 5 stars
      ·
      11K reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google

      Google Data Analytics Capstone: Complete a Case Study

      Skills you'll gain: Interviewing Skills, Data Analysis, Data Processing, Analytical Skills, Artificial Intelligence, Business Analytics, R Programming, Recruitment, Data-Driven Decision-Making, Data Storytelling, Project Documentation, Presentations, Portfolio Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      17K reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      IBM Generative AI Engineering

      Skills you'll gain: Generative AI, Data Wrangling, Unit Testing, Statistical Methods, ChatGPT, Keras (Neural Network Library), Unsupervised Learning, Natural Language Processing, Data Cleansing, Jupyter, Data Analysis, Deep Learning, Data Manipulation, Regression Analysis, PyTorch (Machine Learning Library), Data Transformation, Artificial Intelligence, Data Import/Export, Data Ethics, Exploratory Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      79K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      Applied Data Science with R

      Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Shiny (R Package), Data Visualization, Data Wrangling, Dashboard, Exploratory Data Analysis, Statistical Visualization, Relational Databases, Data Analysis, Ggplot2, Database Design, Data Presentation, SQL, Plot (Graphics), Database Management, Data Manipulation, R Programming, Web Scraping

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Placeholder
      U

      University of California, Davis

      Learn SQL Basics for Data Science

      Skills you'll gain: Data Governance, Presentations, Feature Engineering, A/B Testing, Data Cleansing, SQL, Apache Spark, Distributed Computing, Descriptive Statistics, Data Lakes, Data Storytelling, Peer Review, Exploratory Data Analysis, Data Quality, Data Pipelines, Databricks, JSON, Statistical Analysis, Query Languages, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      18K reviews

      Beginner · Specialization · 3 - 6 Months

    • Placeholder
      P

      PwC

      Data Analysis and Presentation Skills: the PwC Approach

      Skills you'll gain: Analytics, Business Analytics, Data Analysis, Microsoft PowerPoint, Presentations, Excel Formulas, Data-Driven Decision-Making, Dashboard, Data Storytelling, Business Intelligence, Microsoft Excel, Customer Analysis, Data Visualization, Data Presentation, Data Visualization Software, Big Data, Target Market, Data Cleansing, Public Speaking, Spreadsheet Software

      4.6
      Rating, 4.6 out of 5 stars
      ·
      11K reviews

      Beginner · Specialization · 3 - 6 Months

    • Placeholder
      I

      IBM

      Applied Data Science Capstone

      Skills you'll gain: Plotly, Exploratory Data Analysis, Predictive Modeling, Interactive Data Visualization, Data Science, Data-Driven Decision-Making, Data Storytelling, Data Presentation, Data Analysis, Pandas (Python Package), Web Scraping, Statistical Machine Learning, Data Wrangling, Data Collection

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.2K reviews

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      I

      IBM

      IBM Business Analyst

      Skills you'll gain: Data Storytelling, Requirements Elicitation, Business Process Modeling, Business Analysis, Data Presentation, Process Analysis, Resource Allocation, Data Visualization, Interactive Data Visualization, Stakeholder Management, Process Optimization, Business Requirements, Requirements Management, Data Modeling, Risk Analysis, Requirements Analysis, Excel Formulas, Microsoft Excel, Data Cleansing, Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Placeholder
      U

      University of Michigan

      Python Data Structures

      Skills you'll gain: Data Structures, Python Programming, Data Manipulation, Development Environment, File Management, Data Analysis, Computer Programming, Software Installation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      96K reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      U

      University of California, Davis

      SQL for Data Science

      Skills you'll gain: Data Governance, SQL, Data Quality, Query Languages, Data Manipulation, Data Modeling, Relational Databases, Data Science, Data Analysis, Database Management Systems, Descriptive Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      17K reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to data visualization

    data visualization with tableau
    data visualization with advanced excel
    data visualization with python
    data visualization for genome biology
    data visualization in excel
    data visualization and dashboards with excel and cognos
    data visualization with r
    data visualization fundamentals
    1…101112…283

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

    • What is Data Science? : IBM
    • Data Analysis with Python: IBM
    • Analyze Data to Answer Questions: Google
    • Google Data Analytics Capstone: Complete a Case Study: Google
    • IBM Generative AI Engineering: IBM
    • Applied Data Science with R: IBM
    • Learn SQL Basics for Data Science: University of California, Davis
    • Data Analysis and Presentation Skills: the PwC Approach: PwC
    • Applied Data Science Capstone: IBM
    • IBM Business Analyst: IBM

    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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