Descriptive Statistics

Descriptive Statistics is a branch of statistics that deals with the organization, summarization, and interpretation of quantitative data. Coursera's Descriptive Statistics catalogue teaches you how to effectively analyze and interpret data using statistical techniques. You'll learn about measures of central tendency, dispersion, skewness, and kurtosis. Additionally, you'll understand how to create and interpret data visualizations such as histograms, box plots, and scatter plots. This skill is essential for roles in data analysis, market research, social sciences, and any field that requires data-driven decision making.

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Results for "Descriptive Statistics"

  • Coursera

    Skills you'll gain: Descriptive Statistics, Data Analysis, Tableau Software, Statistical Visualization, Statistical Reporting, Business Analytics, Descriptive Analytics, Exploratory Data Analysis, Data Visualization, Data Storytelling, Dashboard Creation, Plot (Graphics), Seaborn, Dashboard, Data Presentation, Matplotlib, Analysis, Statistical Analysis, Data-Driven Decision-Making, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Coursera

    Skills you'll gain: Descriptive Statistics, Statistical Programming, R Programming, R (Software), Statistical Reporting, Data Quality, Data Preprocessing, Data Cleansing, Statistics, Data Processing, Statistical Methods, Statistical Software, Data Analysis Software, Statistical Analysis, Data Import/Export

    4.6 stars, 93 reviews, Beginner, Guided Project, Less Than 2 Hours

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  • Coursera

    Skills you'll gain: Descriptive Statistics, Data Analysis, Exploratory Data Analysis, Quantitative Research, R Programming, Statistical Analysis, Histogram, R (Software), Statistical Methods, Statistical Programming, Probability & Statistics, Descriptive Analytics, Statistics, Statistical Software, Data Science

    4.8 stars, 52 reviews, Beginner, Guided Project, Less Than 2 Hours

  • Coursera

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