Descriptive Analytics

Descriptive Analytics is the examination of data and information to understand what has happened in the past. Coursera's Descriptive Analytics catalogue teaches you how to interpret historical data to analyze trends, patterns, and business performances. You'll learn how to use different statistical techniques, data aggregation and data mining methods to interpret data and provide valuable insights. This skill is essential for data-driven decision making in various roles such as data analysts, business intelligence professionals or managers. Furthermore, you'll gain a deep understanding of how to use descriptive analytics tools and methodologies to transform raw data into an easy-to-understand format for comprehensive and actionable business insights.
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Results for "descriptive analytics"

  • Status: Free Trial

    Skills you'll gain: Data Analysis, Analytics, Statistical Analysis, Data-Driven Decision-Making, Data Mining, Spreadsheet Software, Exploratory Data Analysis, Descriptive Analytics, Quantitative Research, Data Processing, Data Cleansing, Data Collection, Statistics, R (Software), Predictive Analytics, Data Presentation, Data Visualization, SQL

  • Status: Free Trial

    University of Pennsylvania

    Skills you'll gain: Digital Transformation, Supply Chain Management, E-Commerce, Supply Chain, Analytics, Business Analytics, Descriptive Analytics, Customer experience strategy (CX), Predictive Analytics, Data-Driven Decision-Making

  • Status: Free Trial

    University of California, Irvine

    Skills you'll gain: Data Storytelling, Dashboard, Data Presentation, Data Visualization, Data Visualization Software, Interactive Data Visualization, Statistical Visualization, Tableau Software, Data Ethics, Exploratory Data Analysis, Scatter Plots, Heat Maps, Data Analysis, Descriptive Analytics, Geospatial Information and Technology, Analytical Skills, Application Deployment, Network Analysis, Financial Data, Data Integrity

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Data Mining, Data Warehousing, Data Pipelines, Data Processing, Data Integration, Data Modeling, Data Cleansing, Data Transformation, Data Quality, Data Analysis, Descriptive Analytics, Exploratory Data Analysis

  • Status: Free Trial

    University of Maryland, College Park

    Skills you'll gain: Online Advertising, Data Presentation, Data Visualization, Digital Advertising, Advertising, Analytics, Big Data, Social Media Strategy, Social Media, Data Ethics, Marketing, Social Media Marketing, Data-Driven Decision-Making, Business Analytics, Advertising Campaigns, Return On Investment, Descriptive Analytics, Law, Regulation, and Compliance, Trend Analysis, Customer Engagement

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