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Statistics Courses

Explore 100% online Degrees and Certificates on Coursera

Google Cloud
Data Engineering with Google CloudGoogle Cloud
DeepLearning.AI
DeepLearning.AI TensorFlow DeveloperDeepLearning.AI
University of Chicago
Machine Learning for Analytics MasterTrack™ CertificateUniversity of Chicago
University of Illinois
Master of Business Administration (iMBA)University of Illinois
Arizona State University
Master of Computer ScienceArizona State University
University of Illinois at Urbana-Champaign
Master of Science in AccountingUniversity of Illinois at Urbana-Champaign
University of Colorado Boulder
Master of Science in Electrical EngineeringUniversity of Colorado Boulder
Macquarie University
Global Master of Business Administration (MBA)Macquarie University
HSE University
Master of Data ScienceHSE University
University of Illinois
Master of Computer Science in Data ScienceUniversity of Illinois
University of Illinois at Urbana-Champaign
Master of Computer ScienceUniversity of Illinois at Urbana-Champaign
University of Illinois at Urbana-Champaign
Master of Science in ManagementUniversity of Illinois at Urbana-Champaign
University of Michigan
Master of Applied Data ScienceUniversity of Michigan
Imperial College London
Global Master of Public HealthImperial College London
University of Michigan
Master of Public HealthUniversity of Michigan
Imperial College London
Master of Machine Learning and Data ScienceImperial College London
University of Colorado Boulder
Master of Science in Data ScienceUniversity of Colorado Boulder
Google Cloud
Data Engineering with Google Cloud 日本語版Google Cloud
IBM
IBM Machine LearningIBM
SAS
SAS ProgrammerSAS
SAS
SAS Statistical Business AnalystSAS
IBM
Analista de Datos de IBMIBM
SAS
SAS Visual Business AnalyticsSAS
IBM
IBM Data AnalystIBM
University of California, Davis
Spatial Data Analysis and Visualization MasterTrack™ ProgramUniversity of California, Davis
HSE University
Master of Data and Network AnalyticsHSE University
IBM
IBM AI EngineeringIBM
IBM
Bases de Inteligencia Artificial para TodosIBM
IBM
IBM Data ScienceIBM
IBM
IBM Applied AIIBM
IBM
Ciencia de Datos de IBMIBM
CertNexus
CertNexus Certified Ethical Emerging TechnologistCertNexus
CertNexus
CertNexus Certified Artificial Intelligence PractitionerCertNexus
Google Cloud
Data Engineering with Google CloudGoogle Cloud
DeepLearning.AI
DeepLearning.AI TensorFlow DeveloperDeepLearning.AI
University of Chicago
Machine Learning for Analytics MasterTrack™ CertificateUniversity of Chicago
University of Illinois
Master of Business Administration (iMBA)University of Illinois
Arizona State University
Master of Computer ScienceArizona State University
University of Illinois at Urbana-Champaign
Master of Science in AccountingUniversity of Illinois at Urbana-Champaign
University of Colorado Boulder
Master of Science in Electrical EngineeringUniversity of Colorado Boulder
Macquarie University
Global Master of Business Administration (MBA)Macquarie University
HSE University
Master of Data ScienceHSE University
University of Illinois
Master of Computer Science in Data ScienceUniversity of Illinois
University of Illinois at Urbana-Champaign
Master of Computer ScienceUniversity of Illinois at Urbana-Champaign
University of Illinois at Urbana-Champaign
Master of Science in ManagementUniversity of Illinois at Urbana-Champaign
University of Michigan
Master of Applied Data ScienceUniversity of Michigan
Imperial College London
Global Master of Public HealthImperial College London
University of Michigan
Master of Public HealthUniversity of Michigan
Imperial College London
Master of Machine Learning and Data ScienceImperial College London
University of Colorado Boulder
Master of Science in Data ScienceUniversity of Colorado Boulder
Google Cloud
Data Engineering with Google Cloud 日本語版Google Cloud
IBM
IBM Machine LearningIBM
SAS
SAS ProgrammerSAS
SAS
SAS Statistical Business AnalystSAS
IBM
Analista de Datos de IBMIBM
SAS
SAS Visual Business AnalyticsSAS
IBM
IBM Data AnalystIBM
University of California, Davis
Spatial Data Analysis and Visualization MasterTrack™ ProgramUniversity of California, Davis
HSE University
Master of Data and Network AnalyticsHSE University
IBM
IBM AI EngineeringIBM
IBM
Bases de Inteligencia Artificial para TodosIBM
IBM
IBM Data ScienceIBM
IBM
IBM Applied AIIBM
IBM
Ciencia de Datos de IBMIBM
CertNexus
CertNexus Certified Ethical Emerging TechnologistCertNexus
CertNexus
CertNexus Certified Artificial Intelligence PractitionerCertNexus
Google Cloud
Data Engineering with Google CloudGoogle Cloud
DeepLearning.AI
DeepLearning.AI TensorFlow DeveloperDeepLearning.AI
University of Chicago
Machine Learning for Analytics MasterTrack™ CertificateUniversity of Chicago

Showing 1716 total results for "statistics"

  • Statistics with Python by University of Michigan
    Statistics with Python
    University of Michigan
    SPECIALIZATION
    Rated 4.6 out of five stars. 2112 reviews
    4.6(2,112)
    83k students
    Beginner LevelBeginner
  • Basic Statistics by University of Amsterdam
    Basic Statistics
    University of Amsterdam
    COURSE
    Rated 4.6 out of five stars. 3553 reviews
    4.6(3,553)
    220k students
    Beginner LevelBeginner
  • Advanced Statistics for Data Science by Johns Hopkins University
    Advanced Statistics for Data Science
    Johns Hopkins University
    SPECIALIZATION
    Rated 4.5 out of five stars. 535 reviews
    4.5(535)
    85k students
    Advanced LevelAdvanced
  • Statistics with R by Duke University
    Statistics with R
    Duke University
    SPECIALIZATION
    Rated 4.7 out of five stars. 5907 reviews
    4.7(5,907)
    290k students
    Beginner LevelBeginner
  • Methods and Statistics in Social Sciences by University of Amsterdam
    Methods and Statistics in Social Sciences
    University of Amsterdam
    SPECIALIZATION
    Rated 4.6 out of five stars. 5732 reviews
    4.6(5,732)
    340k students
    Beginner LevelBeginner
  • Business Statistics and Analysis by Rice University
    Business Statistics and Analysis
    Rice University
    SPECIALIZATION
    Rated 4.7 out of five stars. 9124 reviews
    4.7(9,124)
    210k students
    Beginner LevelBeginner
  • Data Science: Statistics and Machine Learning by Johns Hopkins University
    Data Science: Statistics and Machine Learning
    Johns Hopkins University
    SPECIALIZATION
    Rated 4.4 out of five stars. 6579 reviews
    4.4(6,579)
    270k students
    Intermediate LevelIntermediate
  • Probability and Statistics: To p or not to p? by University of London
    Probability and Statistics: To p or not to p?
    University of London
    COURSE
    Rated 4.6 out of five stars. 1064 reviews
    4.6(1,064)
    53k students
    Beginner LevelBeginner
  • Biostatistics in Public Health by Johns Hopkins University
    Biostatistics in Public Health
    Johns Hopkins University
    SPECIALIZATION
    Rated 4.8 out of five stars. 1261 reviews
    4.8(1,261)
    31k students
    Beginner LevelBeginner
  • IBM Data Science by IBM
    IBM Data Science
    IBM
    PROFESSIONAL CERTIFICATE
    Rated 4.6 out of five stars. 68334 reviews
    4.6(68,334)
    730k students
    Beginner LevelBeginner
  • Improving your statistical inferences by Eindhoven University of Technology
    Improving your statistical inferences
    Eindhoven University of Technology
    COURSE
    Rated 4.9 out of five stars. 641 reviews
    4.9(641)
    51k students
    Intermediate LevelIntermediate
  • Bayesian Statistics: From Concept to Data Analysis by University of California, Santa Cruz
    Bayesian Statistics: From Concept to Data Analysis
    University of California, Santa Cruz
    COURSE
    Rated 4.6 out of five stars. 2602 reviews
    4.6(2,602)
    110k students
    Intermediate LevelIntermediate
  • Data Science by Johns Hopkins University
    Data Science
    Johns Hopkins University
    SPECIALIZATION
    Rated 4.5 out of five stars. 45082 reviews
    4.5(45,082)
    1.1m students
    Beginner LevelBeginner
  • Mathematics for Data Science by National Research University Higher School of Economics
    Mathematics for Data Science
    National Research University Higher School of Economics
    SPECIALIZATION
    Rated 4.4 out of five stars. 605 reviews
    4.4(605)
    50k students
    Beginner LevelBeginner
  • Design of Experiments by Arizona State University
    Design of Experiments
    Arizona State University
    SPECIALIZATION
    Rated 4.7 out of five stars. 109 reviews
    4.7(109)
    6.8k students
    Beginner LevelBeginner
  • Mathematics for Machine Learning by Imperial College London
    Mathematics for Machine Learning
    Imperial College London
    SPECIALIZATION
    Rated 4.6 out of five stars. 10303 reviews
    4.6(10,303)
    250k students
    Beginner LevelBeginner
  • Probabilistic Graphical Models by Stanford University
    Probabilistic Graphical Models
    Stanford University
    SPECIALIZATION
    Rated 4.6 out of five stars. 1397 reviews
    4.6(1,397)
    78k students
    Advanced LevelAdvanced
  • Business Analytics by University of Pennsylvania
    Business Analytics
    University of Pennsylvania
    SPECIALIZATION
    Rated 4.6 out of five stars. 14760 reviews
    4.6(14,760)
    330k students
    Beginner LevelBeginner
  • Applied Data Science with Python by University of Michigan
    Applied Data Science with Python
    University of Michigan
    SPECIALIZATION
    Rated 4.5 out of five stars. 28133 reviews
    4.5(28,133)
    690k students
    Intermediate LevelIntermediate
  • IBM Data Analyst by IBM
    IBM Data Analyst
    IBM
    PROFESSIONAL CERTIFICATE
    Rated 4.6 out of five stars. 31583 reviews
    4.6(31,583)
    420k students
    Beginner LevelBeginner

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

  • Statistics with Python: University of Michigan
  • Basic Statistics: University of Amsterdam
  • Advanced Statistics for Data Science: Johns Hopkins University
  • Statistics with R: Duke University
  • Methods and Statistics in Social Sciences: University of Amsterdam
  • Business Statistics and Analysis: Rice University
  • Data Science: Statistics and Machine Learning: Johns Hopkins University
  • Probability and Statistics: To p or not to p?: University of London
  • Biostatistics in Public Health: Johns Hopkins University
  • IBM Data Science: IBM

Frequently Asked Questions about Statistics

  • Statistics is the science of organizing, analyzing, and interpreting large numerical datasets, with a variety of goals. Descriptive statistics such as mean, median, mode and standard deviation summarize the characteristics of a dataset; statistical inference seeks to determine the characteristics of a large population from a representative sample through statistical hypothesis testing; and statistical regression techniques establish the correlations between an dependent variable and one or more independent variables.

    A familiarity with statistics is critically important for describing and understanding our world. From stock market volatility to political polling to the three-point percentage of your favorite basketball player, statistics help to make the complexity of the world comprehensible - and tell us what to expect. The era of big data has made the use of statistics even more necessary, and data science software like Python and R programming have made data analysis techniques more powerful and more accessible than ever.

  • Just as statistics have become more important for making sense of our world, an ability to understand and use statistics has become increasingly essential for a variety of careers. Whether you are working in business, government, or academia, it is increasingly expected that assertions and decisions are backed up by data. Thus, you’ll need a familiarity with statistics whether you’re an operations manager preparing a presentation on process improvements for a CEO or a policy analyst writing a research paper on criminal justice reform for a legislator.

    If you have a passion for building Markov chain models or debating the relative merits of frequentist and Bayesian statistics, you can pursue a career as a full-time statistician. According to the Bureau of Labor Statistics, statisticians earned a median annual salary of $91,160 as of May 2019, and these jobs are expected to grow much faster than average due to the demand for keen statistical analysis across all fields. Statisticians typically have at least a bachelor’s degree in mathematics, computer science, or other quantitative fields, and many positions require a master’s degree in statistics.

  • Yes, with absolute certainty. Coursera offers individual courses as well as Specializations in statistics, as well as courses focused on related topics such as programming in Python and R as well as the applied use of business statistics. These courses and Specializations are offered by top-ranked universities such as the University of Michigan, Duke University, and Johns Hopkins University, ensuring that you won’t sacrifice educational rigor to learn online. You can also learn about statistics through Coursera’s hands-on Guided Projects, which allow you to build skills with step-by-step tutorials from experienced instructors to help you learn with confidence.

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