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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: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Stability and Capability in Quality Improvement

      Skills you'll gain: Process Capability, Statistical Process Controls, Statistical Analysis, Data Analysis Software, R Programming, Quality Control, Statistical Methods, Process Analysis, Data Transformation, Statistical Hypothesis Testing, Process Improvement, Probability Distribution

      Build toward a degree

      4
      Rating, 4 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Our Place in the Cosmos

      Skills you'll gain: Environmental Monitoring, Physical Science, Geographic Information Systems, Physics, Environmental Science, Spatial Analysis, Environment, General Science and Research, Remote Access Systems, Life Sciences, Laboratory Research, Biology, Scientific Methods, Research, Timelines, Systems Of Measurement, Storytelling

      4.2
      Rating, 4.2 out of 5 stars
      ·
      23 reviews

      Beginner · Course · 1 - 3 Months

    • N

      Northeastern University

      Practical AI for Professionals

      Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Business Strategy, Machine Learning, Business Strategies, Data Management, Data Processing, Computer Vision, Unstructured Data, Predictive Modeling, Natural Language Processing

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Introduction to Archaeology : Archaeology as Science

      Skills you'll gain: Scientific Methods, Anthropology, Social Sciences, Environmental Science, Research, Laboratory Research, Ancient History, General Science and Research, Investigation, Culture, Geographic Information Systems, Environment, Spatial Analysis, Data Collection, Geospatial Information and Technology

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Interpretable machine learning applications: Part 3

      Skills you'll gain: Artificial Neural Networks, Tensorflow, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Financial Forecasting, Business Analytics, Predictive Modeling, Deep Learning, Machine Learning, Commercial Lending, Decision Making, Mortgage Loans, Exploratory Data Analysis, Consumer Lending

      4.5
      Rating, 4.5 out of 5 stars
      ·
      20 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science Decisions in Time

      Skills you'll gain: Precision Medicine, Game Theory, Reinforcement Learning, Data-Driven Decision-Making, Clinical Trials, Bioinformatics, Data Analysis, Image Analysis, Analytics, Markov Model, Bayesian Statistics, Time Series Analysis and Forecasting, Decision Tree Learning, Business Analytics, Data Science, Strategic Decision-Making, Anomaly Detection, Computational Thinking, Cybersecurity, Algorithms

      Intermediate · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Demand Planning in RStudio: Create Demand Forecast

      Skills you'll gain: Demand Planning, Supply Chain Planning, Production Planning, Forecasting, Time Series Analysis and Forecasting, Trend Analysis, Inventory Management System, Plot (Graphics), R Programming, Data Visualization, Statistical Programming

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Data Science for Health Research

      Skills you'll gain: Exploratory Data Analysis, Rmarkdown, Statistical Modeling, Tidyverse (R Package), Data Visualization Software, Regression Analysis, R Programming, Statistical Methods, Ggplot2, Data Wrangling, Statistical Inference, Probability & Statistics, Scatter Plots, Data Manipulation, Predictive Analytics, Correlation Analysis, Histogram, Classification And Regression Tree (CART), Data Analysis, Statistical Analysis

      5
      Rating, 5 out of 5 stars
      ·
      9 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      F

      Fractal Analytics

      Foundations of Machine Learning

      Skills you'll gain: Applied Machine Learning, Machine Learning, Supervised Learning, Regression Analysis, Decision Tree Learning, Machine Learning Algorithms, Feature Engineering, Unsupervised Learning, Application Deployment, Predictive Modeling, Statistical Modeling, Data Processing, Anomaly Detection, Data Manipulation, Data Cleansing, Exploratory Data Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SAS

      Analyzing Time Series and Sequential Data

      Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Forecasting, Feature Engineering, Statistical Analysis, Data Analysis, Statistical Methods, Regression Analysis, Data Transformation, Exploratory Data Analysis, Predictive Modeling, Applied Machine Learning, Advanced Analytics, Statistical Modeling, Unsupervised Learning, Bayesian Statistics, Automation, Anomaly Detection, Data Processing, Data Manipulation

      5
      Rating, 5 out of 5 stars
      ·
      10 reviews

      Intermediate · Specialization · 3 - 6 Months

    • B

      Board Infinity

      Data Visualization with Tableau

      Skills you'll gain: Data Storytelling, Data Presentation, Dashboard, Data Visualization Software, Interactive Data Visualization, Tableau Software, Data Transformation, Exploratory Data Analysis, Scatter Plots, Heat Maps, Histogram, Data Manipulation, Data Import/Export

      3.7
      Rating, 3.7 out of 5 stars
      ·
      13 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Corporate Finance Institute

      Advanced Tableau - Table Calculations

      Skills you'll gain: Tableau Software, Data Presentation, Data Storytelling, Data Visualization Software, Dashboard, Key Performance Indicators (KPIs), Trend Analysis, Data Analysis, Business Metrics

      4.3
      Rating, 4.3 out of 5 stars
      ·
      9 reviews

      Advanced · Course · 1 - 3 Months

    Searches related to statistics

    statistics with python
    statistics for data science
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    statistics in psychological research
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    1…727374…106

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

    • Stability and Capability in Quality Improvement: University of Colorado Boulder
    • Our Place in the Cosmos: University of Colorado Boulder
    • Practical AI for Professionals: Northeastern University
    • Introduction to Archaeology : Archaeology as Science: Rice University
    • Interpretable machine learning applications: Part 3: Coursera Project Network
    • Data Science Decisions in Time: Johns Hopkins University
    • Demand Planning in RStudio: Create Demand Forecast: Coursera Project Network
    • Data Science for Health Research: University of Michigan
    • Foundations of Machine Learning : Fractal Analytics
    • Analyzing Time Series and Sequential Data: SAS

    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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