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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

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Cluster Analysis, Association Mining, and Model Evaluation

      Skills you'll gain: Unsupervised Learning, Data Analysis, Regression Analysis, Statistical Analysis, Data Mining, Predictive Modeling, Predictive Analytics, Anomaly Detection, Statistical Modeling, Classification And Regression Tree (CART), Machine Learning, Correlation Analysis, Probability & Statistics, Scatter Plots, Market Analysis, Supervised Learning, AI Personalization, Cross Selling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      44 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Machine Learning with TensorFlow on Google Cloud em Português Brasileiro

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      92 reviews

      Intermediate · Specialization · 3 - 6 Months

    • P

      Packt

      The STATA OMNIBUS: Regression and Modelling with STATA

      Skills you'll gain: Stata, Regression Analysis, Statistical Modeling, Statistical Analysis, Advanced Analytics, Correlation Analysis, Statistical Visualization, Data Manipulation, Sampling (Statistics), Statistical Hypothesis Testing, Descriptive Statistics

      Beginner · Course · 3 - 6 Months

    • 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

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Data Science for Marketing

      Skills you'll gain: Marketing Analytics, Classification And Regression Tree (CART), Probability & Statistics, AI Personalization, Statistical Software, Statistical Methods, Regression Analysis, Data-Driven Decision-Making, Data Ethics, Unsupervised Learning, Statistical Modeling, Data Visualization, Customer Analysis, Statistical Analysis, Predictive Analytics, Marketing Effectiveness, Anomaly Detection, Statistical Hypothesis Testing, Advanced Analytics, Bayesian Network

      4.8
      Rating, 4.8 out of 5 stars
      ·
      11 reviews

      Intermediate · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Analyze Data in a Model Car Database with MySQL Workbench

      Skills you'll gain: MySQL Workbench, Data-Driven Decision-Making, Exploratory Data Analysis, MySQL, Business Analytics, Data Analysis, Database Design, SQL, Analytical Skills, Data Presentation, Technical Communication, Relational Databases

      4.7
      Rating, 4.7 out of 5 stars
      ·
      18 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      W

      Wesleyan University

      Data Analysis and Interpretation Capstone

      Skills you'll gain: Data Storytelling, Data Presentation, Exploratory Data Analysis, Data Analysis, Data Visualization, Analytical Skills, Report Writing, Data Management, Big Data, Statistical Analysis, Real Time Data, Research, Research Design

      4.7
      Rating, 4.7 out of 5 stars
      ·
      47 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Capstone Project: Advanced AI for Drug Discovery

      Skills you'll gain: Feature Engineering, Bioinformatics, Dimensionality Reduction, Predictive Modeling, Artificial Neural Networks, Pandas (Python Package), Verification And Validation, Unsupervised Learning, Scikit Learn (Machine Learning Library), Data Manipulation, Regression Analysis, Machine Learning Algorithms, Exploratory Data Analysis

      1.9
      Rating, 1.9 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Fundamentals of Scientific Research Under Uncertainty

      Skills you'll gain: Science and Research, Scientific Methods, Research, General Science and Research, Critical Thinking, Probability, Research Design, Probability & Statistics, Bayesian Statistics, Research Methodologies, Decision Making

      4.9
      Rating, 4.9 out of 5 stars
      ·
      34 reviews

      Beginner · Course · 1 - 3 Months

    • E

      EIT Digital

      Geometric Algorithms

      Skills you'll gain: Geometry, Algorithms, Computer Graphics, Data Structures, Graph Theory, Spatial Data Analysis, Computational Thinking, Geographic Information Systems, Theoretical Computer Science, Spatial Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Introduction to Time Series

      Skills you'll gain: Time Series Analysis and Forecasting, R Programming, Statistical Analysis, Statistical Software, Forecasting, Statistical Modeling, Data Analysis, Predictive Analytics, Exploratory Data Analysis, Statistical Visualization, Data Presentation, Probability & Statistics, Statistical Hypothesis Testing

      3.8
      Rating, 3.8 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Arranging and Visualizing Data in R

      Skills you'll gain: Exploratory Data Analysis, Rmarkdown, Tidyverse (R Package), Data Visualization Software, R Programming, Ggplot2, Data Wrangling, Scatter Plots, Data Manipulation, Histogram, Statistical Reporting, Scripting, Package and Software Management, Data Import/Export

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    Searches related to statistics

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    1…646566…107

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

    • Cluster Analysis, Association Mining, and Model Evaluation: University of California, Irvine
    • Machine Learning with TensorFlow on Google Cloud em Português Brasileiro: Google Cloud
    • The STATA OMNIBUS: Regression and Modelling with STATA: Packt
    • Causal Inference 2: Columbia University
    • Data Science for Marketing: University of Colorado System
    • Analyze Data in a Model Car Database with MySQL Workbench: Coursera Project Network
    • Data Analysis and Interpretation Capstone: Wesleyan University
    • Capstone Project: Advanced AI for Drug Discovery: LearnQuest
    • Fundamentals of Scientific Research Under Uncertainty: Johns Hopkins University
    • Geometric Algorithms: EIT Digital

    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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