Data Visualization

Data Visualization is the practice of translating complex data sets into visual graphics for easy understanding and analysis. Coursera's Data Visualization catalogue teaches you to use visual elements like charts, graphs, and maps to present data more effectively. You'll learn about the principles of good visual design, how to create interactive visualizations, and how to use software tools to manipulate and present data. You'll also understand how to use color, size, and position effectively for better understanding and decision-making. This will enable you to communicate data insights more effectively, whether you're a data analyst, data scientist, statistician, or any professional dealing with data.
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Find the best Data Visualization course for your goals

  • Skills you'll gain: Public Speaking, Data Visualization, Microsoft Office, Concision, Communication, Business Writing, Business Strategy

  • Status: Free Trial

    Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Data Presentation, Statistics, Estimation, Probability, Data-Driven Decision-Making, Probability & Statistics, Statistical Inference, Statistical Hypothesis Testing, Probability Distribution, Data Visualization, Data Analysis, Histogram, Graphing

  • Skills you'll gain: Scikit Learn (Machine Learning Library), Tensorflow, Cloud Computing, Classification And Regression Tree (CART), Supervised Learning, Applied Machine Learning, Machine Learning Methods, Python Programming, Pandas (Python Package), Data Science, Machine Learning, Data Visualization, Data Processing

  • Status: New
    Status: Free Trial

    Skills you'll gain: Data Visualization, Microsoft Excel, Excel Formulas, Pivot Tables And Charts, Dashboard, Excel Macros, Data Analysis, Analytics, Data Cleansing, Data Processing, Regression Analysis, Descriptive Statistics

  • Skills you'll gain: Capital Budgeting, Pivot Tables And Charts, Dashboard, Microsoft Excel, Business Intelligence, Data Visualization, Financial Analysis, Key Performance Indicators (KPIs), Productivity Software, Business Metrics, Google Sheets, Financial Management, Data-Driven Decision-Making, Loans, Data Analysis Software

  • Status: Free Trial

    Duke University

    Skills you'll gain: Data Ethics, Exploratory Data Analysis, Web Scraping, Ggplot2, Data Visualization Software, Tidyverse (R Package), Data Visualization, Data Analysis, Responsible AI, Data Transformation, Statistical Methods, Data Science, Data Wrangling, R Programming, Data Cleansing, GitHub, Data Manipulation, Data Collection, Data Presentation, Version Control

  • Coursera Project Network

    Skills you'll gain: Budgeting, Data Visualization, Google Sheets, Spreadsheet Software, Presentations, Data Sharing

  • Skills you'll gain: Google Sheets, Data Visualization, User Feedback, Customer experience improvement, Customer Insights, Customer Analysis, Customer Service, Google Workspace, Trend Analysis, Performance Analysis, Analysis

  • Status: Free Trial

    Skills you'll gain: SAS (Software), Network Analysis, Text Mining, Spatial Analysis, Data Visualization, Geospatial Mapping, Data Manipulation, Data Analysis, Exploratory Data Analysis, Statistical Programming

  • Status: Free Trial

    Skills you'll gain: Splunk, Data Transformation, Data Manipulation, Data Analysis Expressions (DAX), Statistical Analysis, Data Processing, Data Synthesis, Time Series Analysis and Forecasting, Real Time Data, Data Analysis, Big Data, Data Science, Business Analytics, Data Visualization

  • Status: Free Trial

    Skills you'll gain: Data Storytelling, Data Visualization, Data Presentation, Data Visualization Software, Dashboard, Looker (Software), Data Modeling, Data Access, Business Analytics, UI/UX Strategy, Data Analysis, Data Governance, Performance Tuning, Cloud Services, Self Service Technologies, Version Control

  • Skills you'll gain: Exploratory Data Analysis, Box Plots, Correlation Analysis, Data Visualization, Scatter Plots, Data Cleansing, Data Manipulation, Pandas (Python Package), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Data Analysis, Probability & Statistics, Python Programming

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