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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

    • U

      University of Maryland, College Park

      Cómo manejar datos faltantes

      Skills you'll gain: Sampling (Statistics), Data Quality, Stata, Statistical Analysis, Statistical Software, Statistical Methods, Data Analysis, Regression Analysis, Data Integrity, R Programming

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science Decisions in Time: Using Causal Information

      Skills you'll gain: Precision Medicine, Clinical Trials, Data Analysis, Data-Driven Decision-Making, Analytics, Decision Tree Learning, Business Analytics, Data Science, Strategic Decision-Making, Regression Analysis, Random Forest Algorithm, Medical Science and Research, Treatment Planning, Personalized Service, A/B Testing, Machine Learning, Online Advertising

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Interests of the average Facebook User

      Skills you'll gain: Target Audience, Facebook, Social Media, Persona Development, Social Media Marketing, Social Media Strategy, Customer Insights, Presentations, Web Analytics, Marketing Budgets

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      Оптимизация портфеля с помощью модели Марковица

      Skills you'll gain: Financial Analysis, Portfolio Management, Financial Modeling, Correlation Analysis, Financial Market, Investment Management, Variance Analysis, Risk Modeling

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      P

      Packt

      Learn Data Integration and Visualization with Elasticsearch

      Skills you'll gain: Kibana, Data Import/Export, Data Visualization Software, Data Integration, Time Series Analysis and Forecasting, Dashboard, Apache Kafka, Histogram, Data Transformation, Exploratory Data Analysis, Data Pipelines, MySQL, SQL

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Building Demand Forecasting with BigQuery ML

      Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, Google Cloud Platform, Predictive Modeling, Big Data, Data Analysis, Data Manipulation, Exploratory Data Analysis

      Beginner · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Dark Data Migration and Architecture

      Skills you'll gain: Data Transformation, Data Literacy, Engineering Management, Data-Driven Decision-Making, Computational Thinking, Exploratory Data Analysis, Data Integration, Capacity Management, Data Analysis, Decision Making, Data Modeling, Data Quality, Strategic Decision-Making, Data Strategy, Data Management, Unstructured Data, Complex Problem Solving, Design Thinking, Data Storage, Data Access

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      A

      American Psychological Association

      t-Tests of Hypotheses About Means

      Skills you'll gain: Sample Size Determination, Statistical Hypothesis Testing, Statistical Methods, Quantitative Research, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistics, Probability Distribution, Data Analysis, Research Design, Psychology

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Network Implementations and Operations

      Skills you'll gain: Network Security, Disaster Recovery, Network Administration, Authentications, Network Architecture, Vulnerability Assessments, Computer Networking, Network Infrastructure, Wireless Networks, Threat Modeling, Cybersecurity, Network Monitoring, Local Area Networks, Network Performance Management, Telecommunications, Network Protocols, Network Troubleshooting, Network Switches, Network Routing, Cryptography

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      American Psychological Association

      How to Create and Explore a Data Set

      Skills you'll gain: Data Visualization, Plot (Graphics), Histogram, Data Analysis, Exploratory Data Analysis, Analysis, Graphing, Data Visualization Software, Data Literacy, Descriptive Statistics, Statistics, Probability & Statistics, Data Management, Research, Psychology

      Beginner · Course · 1 - 3 Months

    • P

      Packt

      The Simplest Guide™ to Clinical Data Analysis with SAS

      Skills you'll gain: Clinical Trials, Clinical Data Management, Clinical Research, SAS (Software), Statistical Reporting, Pharmaceuticals, Data Analysis, Statistical Analysis, Data Transformation, Data Manipulation, Descriptive Statistics

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Dashboards in Qlik Sense: Decision-Support Dashboards

      Skills you'll gain: Interactive Data Visualization, Exploratory Data Analysis, Dashboard, Data Visualization Software, Data Integration, Heat Maps, Spatial Data Analysis, Data-Driven Decision-Making, Business Intelligence Software, Geospatial Information and Technology, Data Mapping

      Beginner · Guided Project · Less Than 2 Hours

    Searches related to statistics

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    1…949596…107

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

    • Cómo manejar datos faltantes: University of Maryland, College Park
    • Data Science Decisions in Time: Using Causal Information: Johns Hopkins University
    • Interests of the average Facebook User: Coursera Project Network
    • Оптимизация портфеля с помощью модели Марковица: Coursera Project Network
    • Learn Data Integration and Visualization with Elasticsearch: Packt
    • Building Demand Forecasting with BigQuery ML: Google Cloud
    • Dark Data Migration and Architecture: Arizona State University
    • t-Tests of Hypotheses About Means: American Psychological Association
    • Network Implementations and Operations: Packt
    • How to Create and Explore a Data Set: American Psychological Association

    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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