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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

    • C

      Coursera Project Network

      Machine Learning with PySpark: Customer Churn Analysis

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Analysis, PySpark, Data Processing, Data Cleansing, Data Transformation, Apache Spark, Data-Driven Decision-Making, Decision Tree Learning, Predictive Modeling, Predictive Analytics, Applied Machine Learning, Application Deployment, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      23 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      American History Through Baseball

      Skills you'll gain: Labor Relations, Labor Law, Culture, Social Studies, World History, Diversity Awareness, Cultural Diversity, Economic Development, Socioeconomics, Economics, Social Justice, Global Marketing, International Relations, Business Economics, Public History, Demography, Market Opportunities, Political Sciences, Trend Analysis, Governance

      4.5
      Rating, 4.5 out of 5 stars
      ·
      14 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      C

      CertNexus

      Follow a Machine Learning Workflow

      Skills you'll gain: Data Analysis, Data Collection, Workflow Management, MLOps (Machine Learning Operations), Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Data Cleansing, Applied Machine Learning, Predictive Modeling, Machine Learning, Data Modeling, Machine Learning Algorithms, Process Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Mining Quality Prediction Using Machine & Deep Learning

      Skills you'll gain: Regression Analysis, Predictive Modeling, Exploratory Data Analysis, Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Machine Learning, Decision Tree Learning, Deep Learning, Statistical Analysis, Data Analysis, Test Data, Artificial Neural Networks, Data Import/Export, Pandas (Python Package), Python Programming, Software Visualization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      67 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of Leeds

      Master of Science in Data Science (Statistics)

      Skills you'll gain: Data Ethics, Statistical Hypothesis Testing, Statistical Machine Learning, Regression Analysis, R (Software), Exploratory Data Analysis, Bayesian Statistics, Statistical Methods, Statistical Visualization, Classification And Regression Tree (CART), Network Analysis, Planning, Data Visualization, Data Manipulation, Dimensionality Reduction, Data Analysis, Statistical Inference, Statistical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Object Oriented Programming (OOP)

      Earn a degree

      Degree · 1 - 4 Years

    • Status: Free Trial
      Free Trial
      U

      University of Science and Technology of China

      信息社会的机遇和挑战

      Skills you'll gain: Social Studies, Social Sciences, Learning Strategies, World History, Personal Development, Sociology, Trend Analysis, Emerging Technologies, Automation, Digital Transformation, Information Technology, Artificial Intelligence

      4.5
      Rating, 4.5 out of 5 stars
      ·
      59 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      EDUCBA

      Splunk Administration and Advanced Topics

      Skills you'll gain: Splunk, Data Modeling, Role-Based Access Control (RBAC), System Monitoring, Incident Response, User Accounts, Security Information and Event Management (SIEM), Machine Learning, Event Monitoring, Systems Administration, Performance Tuning, Data Visualization, Threat Detection, Anomaly Detection, Continuous Monitoring, Correlation Analysis, Data Analysis, Authentications, Data Collection, Configuration Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      49 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Codio

      Data Science and Analysis Tools - from Jupyter to R Markdown

      Skills you'll gain: Rmarkdown, Plot (Graphics), Box Plots, Descriptive Statistics, Scatter Plots, Histogram, Jupyter, Matplotlib, Data Presentation, Ggplot2, Statistical Visualization, R (Software), Statistical Hypothesis Testing, Correlation Analysis, Data Visualization, Data Visualization Software, Data Analysis, Data Import/Export, R Programming, Python Programming

      3.9
      Rating, 3.9 out of 5 stars
      ·
      25 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Preview
      Preview
      I

      Institute for the Future

      Life After COVID-19: Get Ready for our Post-Pandemic Future

      Skills you'll gain: Organizational Leadership, Visionary, Crisis Management, Forecasting, Resilience, Risk Analysis, Adaptability, Systems Thinking, Strategic Thinking, Innovation, Change Management, Trend Analysis, Social Justice

      4.8
      Rating, 4.8 out of 5 stars
      ·
      55 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Build your first Machine Learning Pipeline using Dataiku

      Skills you'll gain: Data Import/Export, No-Code Development, Exploratory Data Analysis, Predictive Modeling, Machine Learning Methods, Applied Machine Learning, Data Pipelines, Data Manipulation, Data Analysis, Machine Learning, Predictive Analytics, Time Series Analysis and Forecasting

      4.5
      Rating, 4.5 out of 5 stars
      ·
      59 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Data Mining Project

      Skills you'll gain: Data Mining, Text Mining, Unstructured Data, Big Data, Data Analysis, Data Processing, Exploratory Data Analysis, Data Presentation, Data Visualization Software, Analysis, Natural Language Processing, Technical Writing, Algorithms

      4.4
      Rating, 4.4 out of 5 stars
      ·
      48 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Alberta Machine Intelligence Institute

      Optimizing Machine Learning Performance

      Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Business Operations, Machine Learning, Ethical Standards And Conduct, Applied Machine Learning, Business Strategy, Data Maintenance, Risk Mitigation, Performance Metric, Systems Integration, Stakeholder Communications

      4.4
      Rating, 4.4 out of 5 stars
      ·
      50 reviews

      Mixed · Course · 1 - 4 Weeks

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    1…717273…117

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

    • Machine Learning with PySpark: Customer Churn Analysis: Coursera Project Network
    • American History Through Baseball: University of Colorado Boulder
    • Follow a Machine Learning Workflow: CertNexus
    • Mining Quality Prediction Using Machine & Deep Learning: Coursera Project Network
    • Master of Science in Data Science (Statistics): University of Leeds
    • 信息社会的机遇和挑战: University of Science and Technology of China
    • Splunk Administration and Advanced Topics: EDUCBA
    • Data Science and Analysis Tools - from Jupyter to R Markdown: Codio
    • Life After COVID-19: Get Ready for our Post-Pandemic Future: Institute for the Future
    • Build your first Machine Learning Pipeline using Dataiku : Coursera Project Network

    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.

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