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    Results for "statistics"

    • Johns Hopkins University

      A Crash Course in Data Science

      Skills you'll gain: Data Science, Data Management, Data-Driven Decision-Making, Project Design, Performance Metric, Software Engineering, Machine Learning, Predictive Modeling, Statistical Inference

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

      Beginner · Course · 1 - 4 Weeks

    • DeepLearning.AI

      AI for Medical Diagnosis

      Skills you'll gain: Image Analysis, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Applied Machine Learning, Medical Imaging, Machine Learning Algorithms, Computer Vision, Deep Learning, Natural Language Processing, Medical Science and Research, Radiology, Artificial Neural Networks, Probability & Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New

      Illinois Tech

      Advanced Statistical Techniques for Data Science

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

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      37 reviews

      Intermediate · Specialization · 3 - 6 Months

    • University of Michigan

      Fitting Statistical Models to Data with Python

      Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Analysis, Statistical Programming, Regression Analysis, Predictive Modeling, Jupyter, Exploratory Data Analysis, Statistical Hypothesis Testing, Correlation Analysis, Probability Distribution

      4.4
      Rating, 4.4 out of 5 stars
      ·
      701 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Kennesaw State University

      Six Sigma Tools for Define and Measure

      Skills you'll gain: Data Collection, Lean Six Sigma, Six Sigma Methodology, Quality Improvement, Process Improvement, Business Process, Project Management, Project Planning, Customer experience improvement, Data Validation, Process Mapping, Statistics, Stakeholder Management, Statistical Analysis

      Build toward a degree

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

      Beginner · Course · 1 - 4 Weeks

    • University of London

      International Business Essentials

      Skills you'll gain: Financial Statements, Business Planning, Sampling (Statistics), Leadership and Management, Descriptive Statistics, Team Management, Team Building, Organizational Structure, Data Presentation, Professional Networking, Organizational Change, Communication, Business Mathematics, Business Strategy, Professionalism, Resource Allocation, Competitive Analysis, Linear Algebra, Mathematical Modeling, Business Strategies

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free

      University of Washington

      Computational Neuroscience

      Skills you'll gain: Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Neurology, Computer Science, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Biology, Linear Algebra, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 3 Months

    • SAS

      Introduction to Statistical Analysis: Hypothesis Testing

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, SAS (Software), Regression Analysis, Exploratory Data Analysis, Statistical Methods, Probability & Statistics, Statistical Modeling, Plot (Graphics), Data Literacy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      167 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Duke University

      Linear Regression and Modeling

      Skills you'll gain: Regression Analysis, Data Analysis Software, Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Correlation Analysis, Statistical Methods, Exploratory Data Analysis, Mathematical Modeling, Predictive Modeling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.8K reviews

      Beginner · Course · 1 - 4 Weeks

    • Johns Hopkins University

      Getting and Cleaning Data

      Skills you'll gain: Data Manipulation, Data Cleansing, Data Wrangling, Data Integration, Data Quality, Data Transformation, Data Import/Export, Data Collection, Data Management, Web Scraping, Data Access, R Programming, Exploratory Data Analysis, MySQL, File Management, SQL, Application Programming Interface (API)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      8.1K reviews

      Mixed · Course · 1 - 4 Weeks

    • DeepLearning.AI

      Natural Language Processing with Attention Models

      Skills you'll gain: Natural Language Processing, PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Tensorflow, Machine Learning Methods, Artificial Intelligence, Artificial Neural Networks, Text Mining, Data Processing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Duke University

      Business Metrics for Data-Driven Companies

      Skills you'll gain: Business Analytics, Business Metrics, Analytics, Business Process Improvement, Business Intelligence, Tableau Software, Data Analysis, Big Data, Key Performance Indicators (KPIs), Spreadsheet Software, Web Analytics, Data-Driven Decision-Making, Business Strategy, Digital Transformation, E-Commerce, Financial Services, SQL

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8.4K reviews

      Mixed · Course · 1 - 3 Months

    Searches related to statistics

    statistics with r
    statistics for data science
    statistics with python
    statistics for data science with python
    statistics and data analysis with r
    statistics foundations
    statistics and data analysis with excel, part 1
    statistics for data science essentials
    1…151617…106

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

    • A Crash Course in Data Science: Johns Hopkins University
    • AI for Medical Diagnosis: DeepLearning.AI
    • Advanced Statistical Techniques for Data Science: Illinois Tech
    • Fitting Statistical Models to Data with Python: University of Michigan
    • Six Sigma Tools for Define and Measure: Kennesaw State University
    • International Business Essentials: University of London
    • Computational Neuroscience: University of Washington
    • Introduction to Statistical Analysis: Hypothesis Testing: SAS
    • Linear Regression and Modeling : Duke University
    • Getting and Cleaning Data: Johns Hopkins University

    Frequently Asked Questions about Statistics

    Top statistics courses include Introduction to Statistics from Stanford University, Business Statistics and Analysis from Rice University, and Statistics with Python from the University of Michigan. These courses cover descriptive statistics, probability, hypothesis testing, and statistical modeling.‎

    Yes. Many statistics courses offer a free audit option, allowing you to access video lessons and reading materials without payment. If you want to complete assignments or earn a certificate, you’ll need to pay or apply for financial aid.‎

    You’ll learn how to collect, interpret, and present data; calculate key metrics like mean and standard deviation; and apply statistical techniques such as regression analysis, probability distributions, and confidence intervals. Some courses also include hands-on practice with Excel, R, or Python.‎

    Not necessarily. Many Coursera statistics courses are designed for beginners and explain core concepts step by step. Some basic comfort with numbers is helpful, but you don’t need advanced math experience to get started.‎

    Yes. Statistics is essential in fields like business, healthcare, data science, psychology, and research. Learning statistics on Coursera can help you analyze data, make informed decisions, and gain skills that are valuable in both academic and professional settings.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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