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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

    • T

      Tecnológico de Monterrey

      Visualización de Datos - Gestión Empresarial

      Skills you'll gain: Data Storytelling, Power BI, Data Presentation, Tableau Software, Data Visualization Software, Data-Driven Decision-Making, Interactive Data Visualization, Dashboard, Plotly, Business Intelligence, Exploratory Data Analysis, Data Analysis Expressions (DAX), Data Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      Data Ingestion, Exploration & Visualization in Qlik Sense

      Skills you'll gain: Data Visualization Software, Data Modeling, Dashboard, Interactive Data Visualization, Data Presentation, Data Manipulation, Data Transformation, Data Cleansing, Data Import/Export, Data Analysis, Key Performance Indicators (KPIs)

      4.9
      Rating, 4.9 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      RStudio for Six Sigma - Hypothesis Testing

      Skills you'll gain: Statistical Hypothesis Testing, Correlation Analysis, Six Sigma Methodology, R Programming, Statistical Analysis, Regression Analysis, Probability & Statistics, Data Literacy, Descriptive Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      10 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Capstone Project: Predicting Safety Stock

      Skills you'll gain: Time Series Analysis and Forecasting, Feature Engineering, Inventory Management System, Inventory Management, Demand Planning, Matplotlib, Inventory Control, Predictive Modeling, Forecasting, Exploratory Data Analysis, Predictive Analytics, Data Visualization, Pandas (Python Package), Data Analysis, Product Knowledge, Statistical Modeling, Data Wrangling, Data Manipulation, Data Transformation

      4.2
      Rating, 4.2 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • L

      LearnKartS

      Tableau for Data Visualization and Analysis

      Skills you'll gain: Tableau Software, Forecasting, Data Visualization Software, Dashboard, Interactive Data Visualization, Data Storytelling, Time Series Analysis and Forecasting, Trend Analysis, Data Modeling, Exploratory Data Analysis, Data Analysis, Geospatial Mapping, Data Integration, Systems Integration

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Perform basic data analysis tasks using Java streams

      Skills you'll gain: Data Import/Export, Data Analysis, Exploratory Data Analysis, Java, Data Manipulation, Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Climate Science for Everyone

      Skills you'll gain: Environmental Issue, Environment, Physical Science, Energy and Utilities, Environmental Science, International Relations, Pollution Prevention, Environmental Policy, Mitigation, Trend Analysis, Simulations

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      SAS

      Creating Features for Time Series Data

      Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Feature Engineering, Statistical Analysis, Data Analysis, Data Transformation, Exploratory Data Analysis, Unsupervised Learning, Dimensionality Reduction, Probability & Statistics, Machine Learning Algorithms

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      F

      Fred Hutchinson Cancer Center

      Researcher's guide to omic fundamentals

      Skills you'll gain: Bioinformatics, Molecular Biology, Data Processing, Data Analysis, Data Literacy, Exploratory Data Analysis, Metadata Management, R Programming, Scientific Methods, Data Quality, Data Validation

      3.8
      Rating, 3.8 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SAS

      Data Literacy Essentials

      Skills you'll gain: Data-Driven Decision-Making, Data Presentation, Data Literacy, Data Analysis, Trend Analysis, Data Ethics, Research, Analytical Skills

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      Understanding Large Language Models in Business

      Skills you'll gain: Large Language Modeling, Trend Analysis, Real Time Data, Analytics, OpenAI, Business Marketing, Prompt Engineering, Business Strategy, Application Programming Interface (API), Business Modeling, Generative AI, ChatGPT, Technology Roadmaps, Software Development, Natural Language Processing, Artificial Neural Networks, Content Marketing, Artificial Intelligence, Customer experience improvement

      4.5
      Rating, 4.5 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Measuring Total Data Quality

      Skills you'll gain: Data Quality, Quantitative Research, Data Validation, Data Collection, Data Processing, Data Analysis, Data Access, Statistical Analysis, Sampling (Statistics)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to statistics

    statistics with python
    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…818283…107

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

    • Visualización de Datos - Gestión Empresarial: Tecnológico de Monterrey
    • Data Ingestion, Exploration & Visualization in Qlik Sense: Coursera Instructor Network
    • RStudio for Six Sigma - Hypothesis Testing: Coursera Project Network
    • Capstone Project: Predicting Safety Stock : LearnQuest
    • Tableau for Data Visualization and Analysis: LearnKartS
    • Perform basic data analysis tasks using Java streams: Coursera Project Network
    • Climate Science for Everyone: Duke University
    • Creating Features for Time Series Data: SAS
    • Researcher's guide to omic fundamentals: Fred Hutchinson Cancer Center
    • Data Literacy Essentials: 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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