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    Results for "statistical software"

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

      IBM

      IBM Data Science

      Skills you'll gain: Dashboard, Data Visualization Software, Data Visualization, Predictive Modeling, SQL, Unsupervised Learning, Plotly, Interactive Data Visualization, Supervised Learning, Exploratory Data Analysis, Jupyter, Data Wrangling, Data Literacy, Data Analysis, Data Mining, Matplotlib, Regression Analysis, Scikit Learn (Machine Learning Library), Generative AI, Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      145K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Introduction to Probability and Data with R

      Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Software, Descriptive Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.8K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Advanced Statistical Techniques for Data Science

      Skills you'll gain: Machine Learning Algorithms, Statistical Analysis, Bayesian Statistics, Statistical Inference, Data Visualization, Exploratory Data Analysis, Data Presentation, Regression Analysis, Statistical Methods, Data Cleansing, Applied Machine Learning, Analytics, Data Analysis, Machine Learning, Statistical Modeling, R Programming, Data Science, Probability & Statistics, Data Validation, Feature Engineering

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      41 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      G

      Google

      Google Project Management:

      Skills you'll gain: Quality Management, Project Management Life Cycle, Requirements Analysis, Project Scoping, Project Closure, Project Management, Project Planning, Agile Project Management, Continuous Improvement Process, Project Controls, Backlogs, Stakeholder Communications, Milestones (Project Management), Quality Assessment, Team Management, Agile Methodology, Project Documentation, Change Management, Interviewing Skills, Professional Development

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      131K reviews

      Beginner · Professional Certificate · 3 - 6 Months

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

      IBM

      IBM Full Stack Software Developer

      Skills you'll gain: Prompt Engineering, Istio, Software Development Life Cycle, Node.JS, Cloud Computing Architecture, Server Side, Application Deployment, React Redux, Kubernetes, Cloud Services, Restful API, Django (Web Framework), Software Architecture, Object-Relational Mapping, Git (Version Control System), Full-Stack Web Development, Cascading Style Sheets (CSS), Cloud Computing, Jupyter, Engineering Software

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      56K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Applied Software Engineering Fundamentals

      Skills you'll gain: Software Development Life Cycle, Linux Commands, Bash (Scripting Language), Restful API, Shell Script, Software Architecture, Development Environment, Git (Version Control System), GitHub, Flask (Web Framework), Version Control, File Management, Engineering Software, Jupyter, Unix Shell, Application Deployment, Software Design, Linux, Python Programming, Data Structures

      4.6
      Rating, 4.6 out of 5 stars
      ·
      48K reviews

      Beginner · Specialization · 3 - 6 Months

    What brings you to Coursera today?

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Software Engineering

      Skills you'll gain: Software Development Life Cycle, Software Architecture, Development Environment, Engineering Software, Software Design, Software Development Tools, Software Engineering, Program Development, Systems Development, Software Documentation, Software Design Patterns, Software Development Methodologies, Unified Modeling Language, Integrated Development Environments, Programming Principles, Application Development, Agile Methodology, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.6K reviews

      Beginner · Course · 1 - 3 Months

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

      IBM

      IBM DevOps and Software Engineering

      Skills you'll gain: User Story, CI/CD, Istio, Open Web Application Security Project (OWASP), Software Development Life Cycle, Continuous Integration, Linux Commands, Cloud Computing Architecture, Application Deployment, Test Driven Development (TDD), Gherkin (Scripting Language), Jenkins, Kubernetes, Restful API, DevOps, Git (Version Control System), Jupyter, Grafana, Software Engineering, Application Development

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      61K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Engineering

      Skills you'll gain: Prompt Engineering, Large Language Modeling, PyTorch (Machine Learning Library), Unsupervised Learning, Generative AI, Keras (Neural Network Library), Supervised Learning, Deep Learning, Reinforcement Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Generative AI Agents, Image Analysis, Data Manipulation, Natural Language Processing, Tensorflow, Machine Learning, Python Programming, Data Science

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      20K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Statistical Inference

      Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability & Statistics, Probability, Statistics, Bayesian Statistics, Statistical Methods, Statistical Modeling, Statistical Analysis, Probability Distribution, Sampling (Statistics), Sample Size Determination, Data Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      4.4K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Python for Data Science, AI & Development

      Skills you'll gain: Jupyter, Python Programming, Data Structures, Web Scraping, Data Manipulation, Programming Principles, Pandas (Python Package), Computer Programming, Object Oriented Programming (OOP), Restful API, NumPy, Application Programming Interface (API), Data Analysis, Data Import/Export, File Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      42K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Software Development Lifecycle

      Skills you'll gain: User Story, Agile Software Development, Software Design Patterns, Design Thinking, Software Development Methodologies, Software Design, Agile Methodology, Agile Project Management, Process Mapping, Software Engineering, Kanban Principles, Software Development Life Cycle, Software Quality Assurance, Application Security, Scrum (Software Development), Object Oriented Design, Software Architecture, User Experience Design, Software Quality (SQA/SQC), Requirements Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    1234…675

    In summary, here are 10 of our most popular statistical software courses

    • IBM Data Science: IBM
    • Introduction to Probability and Data with R: Duke University
    • Advanced Statistical Techniques for Data Science: Illinois Tech
    • Google Project Management:: Google
    • IBM Full Stack Software Developer: IBM
    • Applied Software Engineering Fundamentals: IBM
    • Introduction to Software Engineering: IBM
    • IBM DevOps and Software Engineering: IBM
    • IBM AI Engineering: IBM
    • Statistical Inference: Johns Hopkins University

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