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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

    • U

      University of Colorado Boulder

      의사 결정을 위한 비즈니스 분석

      Skills you'll gain: Business Analytics, Risk Analysis, Business Intelligence, Strategic Decision-Making, Data Analysis, Decision Making, Trend Analysis, Process Optimization, Simulation and Simulation Software, Market Analysis, Microsoft Excel, Unsupervised Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Data Catalog: Qwik Start

      Skills you'll gain: Metadata Management, Google Cloud Platform, Big Data, Exploratory Data Analysis, Data Management, Data Access, Cloud API

      Beginner · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      American History Through Baseball

      Skills you'll gain: Labor Relations, Labor Law, Culture, Social Studies, World History, Cultural Diversity, Economic Development, Socioeconomics, Social Justice, Global Marketing, Anthropology, Business Economics, Demography, Social Sciences, Market Opportunities, Economics, Public Safety and National Security, International Relations, Trend Analysis, Political Sciences

      4.4
      Rating, 4.4 out of 5 stars
      ·
      13 reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Naive Bayes 101: Resume Selection with Machine Learning

      Skills you'll gain: Data Visualization, Matplotlib, Plot (Graphics), Exploratory Data Analysis, Text Mining, Applied Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Pandas (Python Package), Natural Language Processing, Predictive Modeling, Machine Learning, Data Processing, Unstructured Data, Data Analysis, Machine Learning Algorithms, Data Manipulation, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      17 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Launching into Machine Learning em Português Brasileiro

      Skills you'll gain: Exploratory Data Analysis, Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, MLOps (Machine Learning Operations), Machine Learning Algorithms, Supervised Learning, Google Cloud Platform, Data Processing, Data Analysis, Predictive Modeling, Big Data, Statistical Analysis, Sampling (Statistics), Regression Analysis, Performance Tuning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      32 reviews

      Beginner · Course · 1 - 3 Months

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

      Microsoft

      Data Analysis and Visualization with Generative AI in Excel

      Skills you'll gain: Microsoft Excel, Data Storytelling, Predictive Modeling, Data Visualization Software, Microsoft Copilot, Data Analysis, Data-Driven Decision-Making, Business Reporting, Forecasting, Data Manipulation, Trend Analysis, Generative AI Agents, Natural Language Processing

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      From Data to Insights with Google Cloud 日本語版

      Skills you'll gain: Google Cloud Platform, SQL, Machine Learning, Big Data, Data Cleansing, Data Transformation, Applied Machine Learning, Dashboard, Database Management, Data Management, Cloud Infrastructure, Exploratory Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Data Processing, Data Visualization Software, Data Architecture, Predictive Modeling, Data Integration, Query Languages

      4.5
      Rating, 4.5 out of 5 stars
      ·
      13 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      S

      SAS

      Distributed Programming in SAS® Viya® for Data Analysts

      Skills you'll gain: SAS (Software), Data Manipulation, Data Validation, Data Analysis, Data Access, Exploratory Data Analysis, Cloud Computing, Distributed Computing, Cloud Services, Data Processing, Data Transformation, Statistical Programming, Data Management, Cloud Computing Architecture, Data Import/Export, Servers, Statistical Software, SQL, Query Languages

      4.9
      Rating, 4.9 out of 5 stars
      ·
      13 reviews

      Beginner · Specialization · 3 - 6 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

    • C

      Coursera Project Network

      Exploratory vs Confirmatory data analysis using Python

      Skills you'll gain: Exploratory Data Analysis, Tree Maps, Geographic Information Systems, Plotly, Data Analysis, Interactive Data Visualization, Data Visualization Software, Jupyter, Statistical Analysis, Pandas (Python Package)

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Association Rules Analysis

      Skills you'll gain: Unsupervised Learning, Anomaly Detection, Machine Learning Methods, Data Mining, Applied Machine Learning, Feature Engineering, Exploratory Data Analysis, Data Processing, Data Analysis, Machine Learning Algorithms, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      From Data To Decision With AI

      Skills you'll gain: Statistical Methods, Data Presentation, Regression Analysis, Generative AI, Data Literacy, Statistical Analysis, Data-Driven Decision-Making, Technical Communication, Probability & Statistics, Data Analysis, Exploratory Data Analysis, Descriptive Statistics, Statistical Hypothesis Testing, Predictive Analytics, Data Storytelling, Box Plots, Analytical Skills, Artificial Intelligence, Plot (Graphics), Forecasting

      4.4
      Rating, 4.4 out of 5 stars
      ·
      9 reviews

      Beginner · Specialization · 1 - 3 Months

    Searches related to statistics

    statistics with python
    statistics for data science
    statistics with r
    statistics for data analysis
    statistics for data science with python
    statistics in psychological research
    statistics for business
    statistics foundations
    1…767778…106

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

    • 의사 결정을 위한 비즈니스 분석: University of Colorado Boulder
    • Data Catalog: Qwik Start: Google Cloud
    • American History Through Baseball: University of Colorado Boulder
    • Naive Bayes 101: Resume Selection with Machine Learning: Coursera Project Network
    • Launching into Machine Learning em Português Brasileiro: Google Cloud
    • Data Analysis and Visualization with Generative AI in Excel: Microsoft
    • From Data to Insights with Google Cloud 日本語版: Google Cloud
    • Distributed Programming in SAS® Viya® for Data Analysts: SAS
    • Arranging and Visualizing Data in R : University of Michigan
    • Exploratory vs Confirmatory data analysis using 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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