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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
      E

      EIT Digital

      The Impact of Technology

      Skills you'll gain: Technology Roadmaps, Technology Strategies, Business Strategy, Forecasting, Innovation, Emerging Technologies, Strategic Decision-Making, Trend Analysis, Business Transformation, Network Analysis, Competitive Analysis, Market Dynamics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      115 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      W

      Whizlabs

      Data Engineering in AWS

      Skills you'll gain: Data Collection, AWS SageMaker, Feature Engineering, Amazon Web Services, Data Migration, Data Cleansing, Data Manipulation, Jupyter, Dimensionality Reduction, Exploratory Data Analysis, Unsupervised Learning, Machine Learning

      3.9
      Rating, 3.9 out of 5 stars
      ·
      22 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      S

      Simplilearn

      Affiliate Marketing Course

      Skills you'll gain: Promotional Strategies, Marketing Channel, Email Marketing, Product Promotion, Content Marketing, Marketing Strategies, Social Media Marketing, Marketing, Blogs, Strategic Partnership, Trend Analysis, Performance Analysis, Marketing Analytics, Web Analytics and SEO, Market Trend, Relationship Building

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • 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: New
      New
      G

      Genentech

      Data Science with Real World Data in Pharma

      Skills you'll gain: Pharmaceuticals, Clinical Research, Clinical Trials, Statistical Analysis, Real Time Data, Data Analysis, Statistical Methods, Biostatistics, Data Science, Epidemiology, Health Informatics, Healthcare Industry Knowledge, Data Quality

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      YouTube como un canal estrategico

      Skills you'll gain: Content Performance Analysis, Drive Engagement, Content Strategy, Web Analytics, Social Media Content, Customer Engagement, Content Creation, Strategic Communication, Branding, Marketing Analytics, Social Media Strategy, Social Media, Marketing Channel, Video Production

      4.6
      Rating, 4.6 out of 5 stars
      ·
      80 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • P

      Pontificia Universidad Católica del Perú

      Comportamiento del Consumidor Digital

      Skills you'll gain: Consumer Behaviour, Business-To-Consumer, Data Collection, Target Market, Market Share, Market Research, Customer Insights, Digital Marketing, Business Ethics, Web Analytics, Technical Communication, Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      31 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Social Determinants of Health: Data to Action

      Skills you'll gain: Health Equity, Health Disparities, Health Systems, Community Health, Public Health, Health Informatics, Healthcare Ethics, Health Policy, Maternal Health, Public Health and Disease Prevention, Statistical Analysis, Systems Thinking, Statistical Software, Box Plots, Data Ethics, Research Methodologies, Correlation Analysis, Scatter Plots, Environmental Science, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      16 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Prediction Models with Sports Data

      Skills you'll gain: Forecasting, Data Processing, Predictive Analytics, Predictive Modeling, Data Analysis, Market Data, Performance Analysis, Analytics, Regression Analysis, Probability & Statistics, Data Manipulation, Probability, Ethical Standards And Conduct

      4.5
      Rating, 4.5 out of 5 stars
      ·
      39 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Introduction to the Tidyverse

      Skills you'll gain: Tidyverse (R Package), Data Wrangling, Data Cleansing, Data Transformation, Data Manipulation, R Programming, Data Science, Exploratory Data Analysis, Data Analysis, Ggplot2, File Management, Data Import/Export

      4.4
      Rating, 4.4 out of 5 stars
      ·
      50 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      EDUCBA

      Splunk Administration and Advanced Topics

      Skills you'll gain: Splunk, Data Modeling, Role-Based Access Control (RBAC), System Monitoring, Incident Response, User Accounts, Security Information and Event Management (SIEM), Machine Learning, Event Monitoring, Performance Tuning, Data Visualization, Threat Detection, Identity and Access Management, Anomaly Detection, Correlation Analysis, Data Analysis, Authentications, Data Collection, Configuration Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      45 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      Q

      Queen Mary University of London

      Research Instruments and Research Hypotheses

      Skills you'll gain: Research Reports, Statistical Hypothesis Testing, Survey Creation, Research Design, Statistical Analysis, Data Processing, Data Collection, Quantitative Research, Statistics, Data Analysis, Data Validation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      21 reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to statistics

    statistics with python
    statistics for data science
    statistics for data analysis
    statistics with r
    statistics in psychological research
    statistics for business
    statistics for data science with python
    statistics and data analysis with excel, part 1
    1…545556…107

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

    • The Impact of Technology: EIT Digital
    • Data Engineering in AWS: Whizlabs
    • Affiliate Marketing Course: Simplilearn
    • Data Science for Health Research: University of Michigan
    • Data Science with Real World Data in Pharma: Genentech
    • YouTube como un canal estrategico: Coursera Project Network
    • Comportamiento del Consumidor Digital: Pontificia Universidad Católica del Perú
    • Social Determinants of Health: Data to Action: University of Minnesota
    • Prediction Models with Sports Data: University of Michigan
    • Introduction to the Tidyverse: Johns Hopkins University

    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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