Data Presentation

Data Presentation is the process of converting raw data into a visual or narrative format, enabling easier understanding, interpretation, and decision making. Coursera's Data Presentation catalogue teaches you how to effectively transform complex data into coherent, visually compelling information. You'll learn how to use various tools and techniques to create charts, graphs, dashboards, infographics, and other visual representations of data. Additionally, you'll understand how to narrate data-driven stories that can influence strategic decisions, and appreciate the importance of data aesthetics and design principles. The skillset will equip you to effectively communicate insights from data in industries such as business, healthcare, research, technology, and more.
89credentials
2online degrees
195courses

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Results for "data presentation"

  • Skills you'll gain: Looker (Software), Data Presentation, Analytics, Data Analysis, Dashboard, Big Data, Google Cloud Platform, Data Visualization Software, Data Processing, Data Warehousing, Data-Driven Decision-Making, Data Management, SQL, Databases, Cloud Storage

  • Skills you'll gain: Looker (Software), Dashboard, Data Analysis, Data Presentation, Data Storytelling, Analytics, SQL, Google Cloud Platform, Big Data, Data Visualization Software, Data Warehousing, Data-Driven Decision-Making, Relational Databases, Data Storage

  • Skills you'll gain: Looker (Software), Team Management, Interactive Data Visualization, Data Presentation, Data Management, User Accounts, Data Security, Scheduling, Data Sharing, Customer Support, Auditing

  • Skills you'll gain: Looker (Software), Data-Driven Decision-Making, Google Cloud Platform, Analytics, Data Presentation, Data Analysis, Big Data, Data Transformation, Data Manipulation, Business Intelligence, Data Cleansing, Data Visualization Software, Data Processing, Cloud Storage, Data Warehousing, SQL

  • Skills you'll gain: Statistical Hypothesis Testing, Probability & Statistics, Probability Distribution, Statistical Inference, Sampling (Statistics), Probability, Statistical Reporting, Statistical Modeling, Exploratory Data Analysis, Statistical Methods, Statistical Analysis, Bayesian Statistics, Descriptive Statistics, Data Analysis, Experimentation, Data Presentation, Estimation, Statistical Visualization, Correlation Analysis, Reliability