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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: Free
    Free
    U

    University of Pennsylvania

    Calculus: Single Variable Part 4 - Applications

    Skills you'll gain: Calculus, Integral Calculus, Applied Mathematics, Probability & Statistics, Geometry, Probability, Advanced Mathematics, Torque (Physics), Statistics, Mechanics, Mathematical Modeling, Physics

    4.9
    Rating, 4.9 out of 5 stars
    ·
    280 reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Deep Learning with ANN in Python: Build & Optimize

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Customer Analysis, Predictive Modeling, Data Processing, Feature Engineering, Predictive Analytics, Exploratory Data Analysis, Data Cleansing, Software Installation

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    U

    University of Pennsylvania

    AI and Machine Learning Essentials with Python

    Skills you'll gain: Statistical Machine Learning, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Regression Analysis, Data Processing, Agentic systems, Data Science, Artificial Intelligence, Artificial Neural Networks, Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    38 reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of Colorado Boulder

    Master of Science in Electrical and Computer Engineering

    Skills you'll gain: Object Oriented Design, User Story, Real-Time Operating Systems, Systems Engineering, Field-Programmable Gate Array (FPGA), New Product Development, Failure Analysis, Sustainable Business, Data Mining, Delegation Skills, Unsupervised Learning, Proposal Writing, Sampling (Statistics), Supplier Management, Computer Vision, Accountability, Data Ethics, Sustainability Reporting, Statistical Modeling, Goal Setting

    Earn a degree

    Degree · 1 - 4 Years

  • Status: Free Trial
    Free Trial
    U

    University of Maryland, College Park

    Framework for Data Collection and Analysis

    Skills you'll gain: Surveys, Data Collection, Research Design, Data Quality, Data Analysis, Data Validation, Sampling (Statistics), Big Data, Statistical Methods

    4.2
    Rating, 4.2 out of 5 stars
    ·
    773 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Processing, Data Cleansing, Machine Learning, Regression Analysis, Data Manipulation, Business Analytics, Feature Engineering, Random Forest Algorithm, Statistical Modeling, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
    ·
    445 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Project Scheduling: Estimate Activity Durations

    Skills you'll gain: Project Estimation, Project Schedules, Work Breakdown Structure, Estimation, Scheduling, Timelines, Project Planning, Project Management, Probability & Statistics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    198 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    Meta

    Marketing Analytics Foundation

    Skills you'll gain: Data Collection, Marketing, Marketing Analytics, Google Analytics, Digital Marketing, Application Programming Interface (API), Personally Identifiable Information, Web Analytics, Information Privacy, Data Integration, Analytics, Facebook, Data Analysis, Data-Driven Decision-Making, Advertising

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.3K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    K

    Kennesaw State University

    Six Sigma Advanced Analyze Phase

    Skills you'll gain: Statistical Hypothesis Testing, Six Sigma Methodology, Lean Six Sigma, Process Improvement, Quality Improvement, Process Optimization, Statistical Analysis, Statistics, Data Analysis, Variance Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    979 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    K

    Kennesaw State University

    The Analyze Phase for the 6 σ Black Belt

    Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Statistical Hypothesis Testing, Statistical Analysis, Analysis, Statistical Inference, Process Analysis, Correlation Analysis, Data Analysis, Probability & Statistics, Risk Analysis, Regression Analysis, Sample Size Determination, Sampling (Statistics)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    52 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    GIS, Mapping, and Spatial Analysis

    Skills you'll gain: ArcGIS, Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, GIS Software, Data Mapping, Geospatial Information and Technology, Data Visualization, Metadata Management, Query Languages, Global Positioning Systems, Quantitative Research, Data Compilation, Typography, Data Manipulation, Data Storytelling, Data Modeling, Design Elements And Principles, Image Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Mathematical Foundations and Quantum Mechanics Essentials

    Skills you'll gain: Probability, Linear Algebra, Probability & Statistics, Statistics, Mathematical Theory & Analysis, Computational Logic, Applied Mathematics, Advanced Mathematics, Computer Science, Algebra, Physics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    57 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Calculus: Single Variable Part 4 - Applications: University of Pennsylvania
  • Deep Learning with ANN in Python: Build & Optimize: EDUCBA
  • AI and Machine Learning Essentials with Python: University of Pennsylvania
  • Master of Science in Electrical and Computer Engineering: University of Colorado Boulder
  • Framework for Data Collection and Analysis: University of Maryland, College Park
  • Supervised Machine Learning: Classification: IBM
  • Project Scheduling: Estimate Activity Durations: Coursera
  • Marketing Analytics Foundation: Meta
  • Six Sigma Advanced Analyze Phase: Kennesaw State University
  • The Analyze Phase for the 6 σ Black Belt: Kennesaw State University

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