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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 Colorado System

      Applied Kalman Filtering

      Skills you'll gain: Bayesian Network, Linear Algebra, Numerical Analysis, Mathematical Modeling, Estimation, Matlab, Statistical Modeling, Advanced Mathematics, Simulations, Applied Mathematics, Control Systems, Time Series Analysis and Forecasting, Global Positioning Systems, Simulation and Simulation Software, Probability & Statistics, System Implementation, Systems Of Measurement, Statistical Methods, Differential Equations, Performance Tuning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      21 reviews

      Intermediate · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Data Visualization in Tableau: Create Dashboards and Stories

      Skills you'll gain: Data Storytelling, Data Presentation, Data-Driven Decision-Making, Interactive Data Visualization, Dashboard, Data Visualization Software, Tableau Software, Data Analysis, Exploratory Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      42 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • S

      SAS

      Practical SAS Programming and Certification Review

      Skills you'll gain: SAS (Software), Data Import/Export, Statistical Analysis, Data Analysis, Statistical Programming, Data Manipulation, Exploratory Data Analysis, Data Transformation, Data Cleansing, Computer Programming

      4.9
      Rating, 4.9 out of 5 stars
      ·
      356 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      ANOVA and Experimental Design

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Analysis, Data Ethics, Statistical Modeling, Data Science, A/B Testing, Data Analysis, Regression Analysis, Probability & Statistics, Sample Size Determination

      Build toward a degree

      3.9
      Rating, 3.9 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Mathematical Foundations and Quantum Mechanics Essentials

      Skills you'll gain: Applied Mathematics, Mathematics and Mathematical Modeling, Linear Algebra, Probability, Mathematical Modeling, Computer Science, Algebra, Probability & Statistics, Statistics, Physics, Mechanics, Emerging Technologies

      4.3
      Rating, 4.3 out of 5 stars
      ·
      28 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Columbia University

      Decision Making and Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Markov Model, Data-Driven Decision-Making, Decision Support Systems, Simulations, Probability & Statistics

      4.3
      Rating, 4.3 out of 5 stars
      ·
      20 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Interactive Statistical Data Visualization 101

      Skills you'll gain: Plotly, Plot (Graphics), Statistical Visualization, Box Plots, Scatter Plots, Interactive Data Visualization, Data Visualization Software, Histogram

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Tools for Exploratory Data Analysis in Business

      Skills you'll gain: Data Storytelling, Extract, Transform, Load, Business Analytics, Business Intelligence, Exploratory Data Analysis, Data Quality, Analytics, Data Visualization Software, Data Analysis, Power BI, Alteryx, Descriptive Statistics, Statistical Methods, Data Transformation, R Programming

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      50 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      Universidade de São Paulo

      Estatística não-paramétrica para a tomada de decisão

      Skills you'll gain: Sample Size Determination, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Statistical Methods, Data-Driven Decision-Making, Quantitative Research, Statistical Analysis, Decision Making, Probability Distribution

      4.4
      Rating, 4.4 out of 5 stars
      ·
      138 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Logistic Regression with NumPy and Python

      Skills you'll gain: Matplotlib, Data Visualization, Seaborn, Exploratory Data Analysis, NumPy, Data Analysis, Jupyter, Machine Learning, Python Programming, Supervised Learning, Regression Analysis, Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      393 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Judgmental Business Forecasting in Excel

      Skills you'll gain: Forecasting, Time Series Analysis and Forecasting, Business Metrics, Strategic Thinking, Business Economics, Key Performance Indicators (KPIs), Exploratory Data Analysis, Microsoft Excel, Decision Making, Statistical Methods, Regression Analysis, Data Analysis, Probability & Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      59 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Michigan

      Llama for Python Programmers

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Application Development, Generative AI, Python Programming, Natural Language Processing, Open Source Technology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 4 Weeks

    Searches related to statistics

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    1…495051…107

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

    • Applied Kalman Filtering: University of Colorado System
    • Data Visualization in Tableau: Create Dashboards and Stories: Coursera Project Network
    • Practical SAS Programming and Certification Review: SAS
    • ANOVA and Experimental Design: University of Colorado Boulder
    • Mathematical Foundations and Quantum Mechanics Essentials: Packt
    • Decision Making and Reinforcement Learning: Columbia University
    • Interactive Statistical Data Visualization 101: Coursera Project Network
    • Tools for Exploratory Data Analysis in Business: University of Illinois Urbana-Champaign
    • Estatística não-paramétrica para a tomada de decisão: Universidade de São Paulo
    • Logistic Regression with NumPy and Python: 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.

    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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