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    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

    • N

      National Taiwan University

      機器人學一 (Robotics (1))

      Skills you'll gain: Automation Engineering, Mechanical Engineering, Linear Algebra, Engineering Calculations, Trigonometry, Applied Mathematics, Control Systems, Mathematical Modeling, Spatial Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      63 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Compare Stock Returns with Google Sheets

      Skills you'll gain: Risk Analysis, Google Sheets, Financial Analysis, Quantitative Research, Spreadsheet Software, Statistical Analysis, Statistics, Securities (Finance), Probability & Statistics

      4.3
      Rating, 4.3 out of 5 stars
      ·
      666 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of Colorado System

      Genetic Epidemiology Foundations

      Skills you'll gain: Epidemiology, Biostatistics, Statistical Analysis, Correlation Analysis, Medical Science and Research, Data Quality, Probability & Statistics, Molecular Biology, Statistical Methods, Regression Analysis, Data Validation, Biology

      4.5
      Rating, 4.5 out of 5 stars
      ·
      50 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Introduction to Generative AI for Data Analysis

      Skills you'll gain: Prompt Engineering, Generative AI, Data Ethics, Data Cleansing, OpenAI, Data Analysis, ChatGPT, Artificial Intelligence, Data Transformation, Data Quality, Power BI, Exploratory Data Analysis, Anomaly Detection

      4.4
      Rating, 4.4 out of 5 stars
      ·
      47 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Sampling People, Networks and Records

      Skills you'll gain: Sampling (Statistics), Sample Size Determination, Data Collection, Surveys, Quantitative Research, Statistical Methods, Statistical Software, Probability & Statistics, Probability, Research Methodologies, Network Analysis

      4.3
      Rating, 4.3 out of 5 stars
      ·
      104 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Data Analysis and Visualization with Python

      Skills you'll gain: Generative AI, Matplotlib, Plotly, Data Ethics, Data Cleansing, Data Manipulation, Exploratory Data Analysis, Pandas (Python Package), Data Transformation, Interactive Data Visualization, Data Visualization Software, Data Storytelling, Data Analysis, Scikit Learn (Machine Learning Library), Artificial Intelligence, Jupyter, Python Programming, Machine Learning

      4.2
      Rating, 4.2 out of 5 stars
      ·
      35 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Measurement Systems Analysis

      Skills you'll gain: Correlation Analysis, Statistical Visualization, Data Visualization, Statistical Analysis, Data Analysis, Box Plots, Systems Of Measurement, Data Quality, Run Chart, R Programming, Scatter Plots, Regression Analysis, Statistical Methods, Verification And Validation, Continuous Monitoring, Statistical Hypothesis Testing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Business Priorities and Data Ingestion

      Skills you'll gain: Design Thinking, Data Science, Artificial Intelligence, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Quality, Business Priorities, NumPy, IBM Cloud, Python Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      164 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      EIT Digital

      The Impact of Technology

      Skills you'll gain: Technology Roadmaps, Technology Strategies, Business Strategy, Forecasting, Innovation, Emerging Technologies, Strategic Decision-Making, Trend Analysis, Business Transformation, Network Analysis, Competitive Analysis, Market Dynamics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      115 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Probabilistic Deep Learning with TensorFlow 2

      Skills you'll gain: Generative AI, Tensorflow, Deep Learning, Image Analysis, Bayesian Statistics, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Dimensionality Reduction

      4.7
      Rating, 4.7 out of 5 stars
      ·
      109 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      AI and Machine Learning Algorithms and Techniques

      Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Statistical Machine Learning, Predictive Modeling, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Decision Tree Learning, Business Logic, Dimensionality Reduction, Data Modeling, Performance Metric

      4.7
      Rating, 4.7 out of 5 stars
      ·
      30 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Machine Learning with TensorFlow Google Cloud 日本語版

      Skills you'll gain: Feature Engineering, Tensorflow, Google Cloud Platform, Data Quality, Keras (Neural Network Library), Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Supervised Learning, Data Processing, Machine Learning Algorithms, MLOps (Machine Learning Operations), Jupyter, Data Pipelines, Big Data, Deep Learning, Artificial Neural Networks, Dataflow, Artificial Intelligence and Machine Learning (AI/ML), Data Transformation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      152 reviews

      Intermediate · Specialization · 3 - 6 Months

    Searches related to statistics

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    statistics for data science
    statistics for business
    statistics for data analysis
    statistics with r
    statistics in psychological research
    statistics for data science with python
    statistics and data analysis with excel, part 1
    1…434445…107

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

    • 機器人學一 (Robotics (1)): National Taiwan University
    • Compare Stock Returns with Google Sheets: Coursera Project Network
    • Genetic Epidemiology Foundations: University of Colorado System
    • Introduction to Generative AI for Data Analysis: Microsoft
    • Sampling People, Networks and Records: University of Michigan
    • Data Analysis and Visualization with Python: Microsoft
    • Measurement Systems Analysis: University of Colorado Boulder
    • AI Workflow: Business Priorities and Data Ingestion: IBM
    • The Impact of Technology: EIT Digital
    • Probabilistic Deep Learning with TensorFlow 2: Imperial College London

    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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