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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

      Columbia University

      Causal Inference 2

      Skills you'll gain: Statistical Inference, Econometrics, Advanced Analytics, Statistical Analysis, Regression Analysis, Time Series Analysis and Forecasting, Statistical Methods, Statistical Modeling, Research Design

      3.4
      Rating, 3.4 out of 5 stars
      ·
      14 reviews

      Advanced · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Measuring and Maximizing Impact of COVID-19 Contact Tracing

      Skills you'll gain: Epidemiology, Infectious Diseases, Technical Communication, Exploratory Data Analysis, Public Health, Data Analysis Software, Decision Support Systems

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.3K reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Feature Engineering and Bias Detection

      Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Text Mining, Applied Machine Learning, Data Transformation, Anomaly Detection, Exploratory Data Analysis, Natural Language Processing, Quality Assurance, Data Validation, Machine Learning Algorithms, Data Visualization

      4.4
      Rating, 4.4 out of 5 stars
      ·
      72 reviews

      Advanced · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Production Machine Learning Systems - Español

      Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Systems Architecture, Cloud Computing Architecture, Applied Machine Learning, Performance Tuning, Software Architecture, Kubernetes, Machine Learning, Distributed Computing, Scalability, Hybrid Cloud Computing, Statistical Inference, Data Processing, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      T

      Tecnológico de Monterrey

      Fundamentals of entrepreneurship in the family business

      Skills you'll gain: Value Propositions, Entrepreneurship, Ideation, Business Modeling, Sales Presentations, Innovation, New Business Development, Business Planning, Presentations, Business Strategies, Market Research, Trend Analysis

      Advanced · Course · 1 - 3 Months

    • G

      Google Cloud

      Exploring the Lineage of Data with Cloud Data Fusion

      Skills you'll gain: Google Cloud Platform, Data Pipelines, Data Migration, Data Lakes, Data Integration, Data Transformation, Exploratory Data Analysis

      Advanced · Project · Less Than 2 Hours

    Searches related to statistics

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    12345

    In summary, here are 6 of our most popular statistics courses

    • Causal Inference 2: Columbia University
    • Measuring and Maximizing Impact of COVID-19 Contact Tracing: Johns Hopkins University
    • AI Workflow: Feature Engineering and Bias Detection: IBM
    • Production Machine Learning Systems - Español: Google Cloud
    • Fundamentals of entrepreneurship in the family business: Tecnológico de Monterrey
    • Exploring the Lineage of Data with Cloud Data Fusion: Google Cloud

    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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