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  • Descriptive Statistics

Descriptive Statistics Courses

Descriptive statistics courses can help you learn how to summarize data sets, calculate measures of central tendency, and assess variability. You can build skills in interpreting frequency distributions, creating visual data representations, and performing hypothesis testing. Many courses introduce tools like Excel, R, or Python for data analysis, allowing you to apply these skills in practical scenarios, such as analyzing survey results or evaluating experimental data.


Popular Descriptive Statistics Courses and Certifications


  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Analyze Agent Performance: Build and Test

    Skills you'll gain: Statistical Hypothesis Testing, AI Workflows, LangChain, Generative AI Agents, CrewAI, Statistical Methods, Statistical Analysis, Data Transformation, Agentic systems, Statistical Inference, Business Intelligence, Performance Testing, Key Performance Indicators (KPIs), Data-Driven Decision-Making, Performance Metric, Descriptive Analytics, Business Metrics, Data Analysis, Correlation Analysis, Event Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning

    Skills you'll gain: Applied Machine Learning, Classification Algorithms, Model Evaluation, Regression Analysis, AI Personalization, Machine Learning, Unsupervised Learning, Predictive Modeling, Supervised Learning, Bayesian Statistics, Logistic Regression, Statistical Modeling, Deep Learning, Feature Engineering, Data Mining, Decision Tree Learning, Data Preprocessing, Statistical Machine Learning, Text Mining, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Systems Analyst

    Skills you'll gain: Data Storytelling, Process Mapping, Process Analysis, Business Analysis, Interactive Data Visualization, Business Process Improvement, Stakeholder Analysis, Process Optimization, Data Visualization, IBM Cognos Analytics, Requirements Management, Process Design, Systems Design, Systems Analysis, Communication Planning, Business Process Modeling, Information Technology, Release Management, Database Management, Agile Methodology

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.8K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Supervised Learning, Feature Engineering, Classification Algorithms, Data Cleansing, Statistical Inference, Data Preprocessing, Data Access, Applied Machine Learning, Statistical Methods, Model Evaluation, Data Quality, Probability & Statistics, Data Analysis, Machine Learning Algorithms, Regression Analysis, Exploratory Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.3K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    R

    Real Madrid Graduate School Universidad Europea

    How Did We Get Here?The Development of Analytics in Football

    Skills you'll gain: Analytics, Performance Analysis, Descriptive Analytics, Business Analytics, Data-Driven Decision-Making, Data Analysis, Media and Communications, Analysis, Predictive Analytics, Performance Measurement, Data Collection, Small Data, Big Data, Spatial Analysis, Research, Performance Reporting, Learning Styles, Innovation, Leadership, Communication

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Epidemiology in Public Health Practice

    Skills you'll gain: Epidemiology, Public Health, Data Presentation, Public Health and Disease Prevention, Trend Analysis, Geographic Information Systems, Data Visualization Software, Chronic Diseases, GIS Software, Health Systems, Health Policy, Infectious Diseases, Health Care, Biostatistics, Risk Analysis, Investigation, Community Health, Data Analysis, Social Determinants Of Health, Statistics

    4.7
    Rating, 4.7 out of 5 stars
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    4.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    E

    Emory University

    Meaningful Marketing Insights

    Skills you'll gain: Pivot Tables And Charts, Marketing Analytics, Descriptive Statistics, Microsoft Excel, Regression Analysis, Data Analysis, Data-Driven Decision-Making, Marketing, Marketing Effectiveness, Exploratory Data Analysis, Consumer Behaviour, Statistical Analysis, Data Manipulation

    4.3
    Rating, 4.3 out of 5 stars
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    290 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Tools for Data Science

    Skills you'll gain: Jupyter, IBM Cloud, Data Visualization Software, R (Software), Computer Programming Tools, Development Environment, Exploratory Data Analysis, Data Science, Integrated Development Environments, Data Analysis, GitHub, Python Programming, Scala Programming

    4.5
    Rating, 4.5 out of 5 stars
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    30K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Regression Models

    Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Logistic Regression, Data Analysis, Model Evaluation, Probability & Statistics, Statistical Inference

    4.4
    Rating, 4.4 out of 5 stars
    ·
    3.4K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Exploratory Data Analysis for Machine Learning

    Skills you'll gain: Feature Engineering, Data Cleansing, Statistical Inference, Data Preprocessing, Data Access, Statistical Methods, Data Quality, Probability & Statistics, Data Analysis, Statistical Hypothesis Testing, Exploratory Data Analysis, Artificial Intelligence, Data Science, Data Transformation, Jupyter, Pandas (Python Package), Machine Learning, Box Plots, Scatter Plots, SQL

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.5K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Introduction to Logic and Critical Thinking

    Skills you'll gain: Deductive Reasoning, Critical Thinking, Logical Reasoning, Analysis, Diagram Design, Probability, Sampling (Statistics), Persuasive Communication, Research, Sample Size Determination, Writing, Case Studies, Oral Expression, Correlation Analysis, Communication, Scientific Methods, Information Architecture, Business Communication, Interactive Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Data Visualization with Tableau

    Skills you'll gain: Data Storytelling, Dashboard, Proposal Development, Key Performance Indicators (KPIs), Data Presentation, Tableau Software, Data Visualization, Data Mapping, Data Visualization Software, Interactive Data Visualization, Data Literacy, Exploratory Data Analysis, Graphing, Histogram, Scatter Plots, Tree Maps, Data-Driven Decision-Making, Statistical Visualization, Performance Analysis, Storyboarding

    4.5
    Rating, 4.5 out of 5 stars
    ·
    8.3K reviews

    Beginner · Specialization · 3 - 6 Months

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In summary, here are 10 of our most popular descriptive statistics courses

  • Analyze Agent Performance: Build and Test: Coursera
  • Machine Learning: University of Washington
  • IBM Systems Analyst: IBM
  • IBM Introduction to Machine Learning: IBM
  • How Did We Get Here?The Development of Analytics in Football: Real Madrid Graduate School Universidad Europea
  • Epidemiology in Public Health Practice: Johns Hopkins University
  • Meaningful Marketing Insights: Emory University
  • Tools for Data Science: IBM
  • Regression Models: Johns Hopkins University
  • Exploratory Data Analysis for Machine Learning: IBM

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