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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 Trial
    Free Trial
    U

    University of California, Davis

    Geographic Information Systems (GIS)

    Skills you'll gain: ArcGIS, GIS Software, Spatial Analysis, Data Storytelling, Spatial Data Analysis, Geographic Information Systems, Data Presentation, Geospatial Mapping, Public Health and Disease Prevention, Public Health, Land Management, Geospatial Information and Technology, Heat Maps, Data Sharing, Epidemiology, Community Health, Metadata Management, Image Analysis, Project Management, Global Positioning Systems

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Virginia

    Digital Product Management: Modern Fundamentals

    Skills you'll gain: New Product Development, Product Management, Innovation, Technical Product Management, Product Improvement, Customer Insights, Design and Product, Product Roadmaps, Design Thinking, Customer Engagement, Agile Methodology, Data-Driven Decision-Making, Web Analytics, Stakeholder Management, Business Modeling

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning on Google Cloud

    Skills you'll gain: Feature Engineering, Responsible AI, Generative AI, Tensorflow, Generative AI Agents, Keras (Neural Network Library), Exploratory Data Analysis, MLOps (Machine Learning Operations), Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Prompt Engineering, Data Strategy, OpenAI, Applied Machine Learning, Data Pipelines, AI Product Strategy, Supervised Learning, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    3.7K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Introduction to Discrete Mathematics for Computer Science

    Skills you'll gain: Graph Theory, Logical Reasoning, Cryptographic Protocols, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Probability Distribution, Network Analysis, Public Key Cryptography Standards (PKCS), Theoretical Computer Science, Bayesian Statistics, Python Programming, Data Structures, Algorithms, Arithmetic

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    P

    Peking University

    流行病学基础(上)

    Skills you'll gain: Epidemiology, Public Health and Disease Prevention, Public Health, Health Policy, Research Methodologies, Biostatistics, Infectious Diseases, Research Design, Chronic Diseases, Data Collection, Statistical Analysis, Risk Analysis, Descriptive Statistics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    25 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    COVID19 Data Analysis Using Python

    Skills you'll gain: Correlation Analysis, Seaborn, Data Cleansing, Data Visualization, Statistical Analysis, Data Manipulation, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Data Integration, Statistics, Infectious Diseases, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    2K reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    S

    Stanford University

    Game Theory II: Advanced Applications

    Skills you'll gain: Game Theory, Bidding, Social Sciences, Resource Allocation, Political Sciences, Economics, Behavioral Economics, Mathematical Theory & Analysis, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    650 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Beer Quality

    Skills you'll gain: ISO 9000 Series, Food Quality Assurance And Control, Food and Beverage, Production Process, Quality Assurance and Control, Quality Assessment, Quality Management, Hazard Analysis, Standard Operating Procedure, Statistical Process Controls, Water Quality, Microbiology, Chemistry, Process Control, Cost Control, Laboratory Testing, Manufacturing Processes, Descriptive Statistics, Analytical Chemistry, Product Testing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    48 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Preparing for Google Cloud Certification: Machine Learning Engineer

    Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Responsible AI, Generative AI, Tensorflow, Generative AI Agents, Google Cloud Platform, Dataflow, Keras (Neural Network Library), Exploratory Data Analysis, Machine Learning, Machine Learning Algorithms, Data Pipelines, Apache Airflow, Artificial Intelligence and Machine Learning (AI/ML), Real Time Data, Prompt Engineering, CI/CD, Cloud Infrastructure, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    4.9K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Executive Data Science

    Skills you'll gain: Data Quality, Exploratory Data Analysis, Employee Onboarding, Data Management, Team Motivation, Technical Communication, Data Analysis, Data Presentation, Project Management, Interviewing Skills, Data Science, Data-Driven Decision-Making, Management Training And Development, Organizational Leadership, Team Management, Workflow Management, Analytical Skills, Project Implementation, Leadership, Communication

    4.5
    Rating, 4.5 out of 5 stars
    ·
    11K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Linear Models for Data Science 2: Statistical Linear Models

    Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Integral Calculus

    4.6
    Rating, 4.6 out of 5 stars
    ·
    103 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    488 reviews

    Advanced · Course · 1 - 3 Months

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

  • Geographic Information Systems (GIS): University of California, Davis
  • Digital Product Management: Modern Fundamentals: University of Virginia
  • Machine Learning on Google Cloud: Google Cloud
  • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
  • 流行病学基础(上): Peking University
  • COVID19 Data Analysis Using Python: Coursera
  • Game Theory II: Advanced Applications: Stanford University
  • Beer Quality: University of California, Davis
  • Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
  • Executive Data Science: Johns Hopkins University

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