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    • Statistics

    Statistics Courses

    Statistics courses can help you learn how to collect, analyze, and interpret data to make informed decisions in fields like science, business, and healthcare.

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    Find the Best Statistics Course for Your Goals

    • Status: New
      New
      M

      Microsoft

      Microsoft Azure for AI and Machine Learning

      Skills you'll gain: MLOps (Machine Learning Operations), Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Data Pipelines, Network Troubleshooting, Cloud Computing, Software Versioning, CI/CD, Continuous Monitoring, Data Storage, Scalability, Data Quality, Data Transformation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      M

      Microsoft

      Advanced AI and Machine Learning Techniques and Capstone

      Skills you'll gain: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Artificial Intelligence, Machine Learning Methods, Scalability, Machine Learning, Distributed Computing, Tensorflow, Deep Learning, MLOps (Machine Learning Operations), Artificial Neural Networks, Ethical Standards And Conduct, Microsoft Azure, Information Privacy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Data Mining Foundations and Practice

      Skills you'll gain: Data Mining, Unsupervised Learning, Data Warehousing, Data Pipelines, Data Processing, Data Integration, Data Modeling, Data Science, Data Cleansing, Big Data, Supervised Learning, Data Transformation, Machine Learning Methods, Text Mining, Data Quality, Classification And Regression Tree (CART), Unstructured Data, Data Analysis, Data Presentation, Exploratory Data Analysis

      Build toward a degree

      4.1
      Rating, 4.1 out of 5 stars
      ·
      134 reviews

      Intermediate · Specialization · 1 - 3 Months

    • I

      IBM

      Data Science with R - Capstone Project

      Skills you'll gain: Shiny (R Package), Data Presentation, Exploratory Data Analysis, Data Wrangling, Predictive Modeling, Tidyverse (R Package), Data Science, Data Collection, Data Manipulation, Dashboard, Data Analysis, Data Cleansing, R Programming, Statistical Modeling, Regression Analysis, Ggplot2, Data Transformation, Web Scraping, SQL

      4.6
      Rating, 4.6 out of 5 stars
      ·
      94 reviews

      Intermediate · Course · 1 - 3 Months

    • B

      Banco Interamericano de Desarrollo

      Gestión con enfoque en riesgos en proyectos de desarrollo

      Skills you'll gain: Project Risk Management, Risk Management, Risk Analysis, Risk Mitigation, Project Design, Continuous Monitoring, Project Management, Decision Making, Prioritization, Probability & Statistics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      88 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Machine Learning with TensorFlow on Google Cloud en Español

      Skills you'll gain: Feature Engineering, Tensorflow, Exploratory Data Analysis, Data Quality, Applied Machine Learning, Keras (Neural Network Library), Machine Learning, Google Cloud Platform, MLOps (Machine Learning Operations), Data Strategy, Supervised Learning, Machine Learning Algorithms, Data Analysis, Performance Tuning, Big Data, Data Pipelines, Artificial Neural Networks, Data Ethics, Cloud Computing, Deep Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      448 reviews

      Intermediate · Specialization · 3 - 6 Months

    • S

      Splunk Inc.

      Splunk Search Expert 103

      Skills you'll gain: Splunk, Correlation Analysis, Performance Tuning, Data Manipulation, Data Analysis, Data Modeling, Transaction Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      45 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      D

      Duke University

      Inferenzstatistik

      Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Statistical Reporting, Statistical Analysis, Data Analysis, Probability & Statistics, Statistical Methods, Data Analysis Software, Statistical Software, R Programming, Sampling (Statistics), Probability Distribution, Software Installation

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Unsupervised Algorithms in Machine Learning

      Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Machine Learning Algorithms, Machine Learning, Data Science, Scikit Learn (Machine Learning Library), Python Programming, NumPy, Exploratory Data Analysis, Linear Algebra, Statistical Analysis

      Build toward a degree

      3.8
      Rating, 3.8 out of 5 stars
      ·
      22 reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      Illinois Tech

      Variable Selection, Model Validation, Nonlinear Regression

      Skills you'll gain: Statistical Inference, Regression Analysis, Statistical Methods, R Programming, Statistical Analysis, Statistical Modeling, Predictive Modeling, Advanced Analytics, Probability & Statistics, Data Validation

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      U

      University of Maryland, College Park

      Foundations of Digital Marketing

      Skills you'll gain: Search Engine Marketing, Pay Per Click Advertising, Marketing Analytics, Search Engine Optimization, Web Analytics, Web Analytics and SEO, Online Advertising, Data Presentation, Data Visualization, Analytics, Digital Marketing, Keyword Research, Apache Hadoop, Data-Driven Decision-Making, Digital Advertising, Return On Investment, A/B Testing, Advertising, Marketing Automation, Marketing Strategies

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      Illinois Tech

      Statistical Learning

      Skills you'll gain: Statistical Analysis, Data Analysis, Data Science, Statistical Programming, Statistical Methods, Statistical Machine Learning, Regression Analysis, Supervised Learning, Statistical Inference, Machine Learning, Unsupervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Feature Engineering

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    Searches related to statistics

    statistics for data science
    statistics with python
    statistics with r
    statistics for data analysis
    statistics for data science with python
    statistics foundations
    statistics in psychological research
    statistics and data analysis with excel, part 1
    1…525354…107

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

    • Microsoft Azure for AI and Machine Learning: Microsoft
    • Advanced AI and Machine Learning Techniques and Capstone: Microsoft
    • Data Mining Foundations and Practice: University of Colorado Boulder
    • Data Science with R - Capstone Project: IBM
    • Gestión con enfoque en riesgos en proyectos de desarrollo: Banco Interamericano de Desarrollo
    • Machine Learning with TensorFlow on Google Cloud en Español: Google Cloud
    • Splunk Search Expert 103: Splunk Inc.
    • Inferenzstatistik: Duke University
    • Unsupervised Algorithms in Machine Learning: University of Colorado Boulder
    • Variable Selection, Model Validation, Nonlinear Regression: Illinois Tech

    Why Learn Statistics?

    Statistics is the science of collecting, analyzing, and interpreting data to uncover patterns and inform decisions. It’s essential in fields like business, healthcare, social science, and data analytics. Learning statistics can help you make sense of data, support evidence-based thinking, and contribute to smarter outcomes in any field.

    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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