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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: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      IBM Ethical Hacking with Open Source Tools

      Skills you'll gain: Penetration Testing, Linux, Linux Commands, Network Security, Anomaly Detection, Bash (Scripting Language), Cyber Operations, Network Monitoring, Cyber Security Assessment, Scripting, Cybersecurity, Cyber Threat Hunting, Vulnerability Scanning, Threat Detection, Data Ethics, Command-Line Interface, Vulnerability Assessments, Distributed Denial-Of-Service (DDoS) Attacks, Information Systems Security, Cyber Security Policies

      Intermediate · Professional Certificate · 3 - 6 Months

    • C

      Coursera Project Network

      Cervical Cancer Risk Prediction Using Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Data Analysis, Statistical Analysis, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Predictive Modeling, Matplotlib, Data Import/Export, Pandas (Python Package), Applied Machine Learning, Data Visualization Software, NumPy, Data Manipulation, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      38 reviews

      Beginner · Guided Project · Less Than 2 Hours

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

      Microsoft

      Building Intelligent Troubleshooting Agents

      Skills you'll gain: Large Language Modeling, Natural Language Processing, Generative AI Agents, Prompt Engineering, Test Case, Agentic systems, Human Computer Interaction, Artificial Intelligence and Machine Learning (AI/ML), Debugging, Artificial Intelligence, Performance Tuning, Python Programming, Machine Learning

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      T

      Tsinghua University

      Data Structures and Algorithms (I)

      Skills you'll gain: Data Structures, Algorithms, Theoretical Computer Science, Spatial Analysis, Computational Thinking, Computational Logic, Computer Programming

      3.1
      Rating, 3.1 out of 5 stars
      ·
      33 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Predicción de Ventas Pronosticando Tendencias

      Skills you'll gain: Forecasting, Trend Analysis, Spreadsheet Software, Predictive Analytics, Regression Analysis, Time Series Analysis and Forecasting, Data Visualization, Statistical Methods, Statistical Analysis, Plot (Graphics), Data-Driven Decision-Making, Data Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      110 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Random Models, Nested and Split-plot Designs

      Skills you'll gain: Statistical Analysis, Regression Analysis, Statistical Modeling, Data Analysis, Statistical Methods, Data Transformation, Probability Distribution

      4.6
      Rating, 4.6 out of 5 stars
      ·
      34 reviews

      Intermediate · Course · 1 - 4 Weeks

    • S

      S.P. Jain Institute of Management and Research

      Data Analysis

      Skills you'll gain: Data Analysis, Quantitative Research, Statistical Hypothesis Testing, Sampling (Statistics), Descriptive Statistics, Business Analytics, Regression Analysis, Business Mathematics, Data-Driven Decision-Making, Statistical Analysis, Probability Distribution, Microsoft Excel, Statistical Inference, Probability, Variance Analysis, Estimation

      Build toward a degree

      5
      Rating, 5 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Codio

      Data Analysis in R with RStudio & Tidyverse

      Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Correlation Analysis, Tidyverse (R Package), Data Analysis, Regression Analysis, Probability & Statistics, Statistical Methods, Data Import/Export, Statistical Analysis, R Programming, Data Wrangling

      4.3
      Rating, 4.3 out of 5 stars
      ·
      19 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      T

      Tecnológico de Monterrey

      ¿Qué hacer con tu estrategia digital en tiempos de cambio?

      Skills you'll gain: Customer Engagement, Target Market, Digital Advertising, Customer Retention, Customer Relationship Building, Search Engine Optimization, Digital Media Strategy, Lead Generation, Digital Marketing, Marketing Strategies, Customer Acquisition Management, Customer experience improvement, Cash Flows, Marketing Communications, Web Analytics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      109 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Science Methods for Quality Improvement

      Skills you'll gain: Process Capability, Sampling (Statistics), Correlation Analysis, Statistical Inference, Probability Distribution, Statistical Visualization, R Programming, Statistical Process Controls, Statistical Hypothesis Testing, Descriptive Statistics, Data Visualization, Statistical Methods, Statistical Software, Statistics, Scientific Visualization, Data Analysis, Statistical Analysis, Systems Analysis, Data Analysis Software, Quality Control

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      49 reviews

      Intermediate · Specialization · 3 - 6 Months

    • I

      Instituto Tecnológico de Aeronáutica

      Controle a Tempo Discreto

      Skills you'll gain: Control Systems, Engineering Calculations, Automation Engineering, Simulation and Simulation Software, Computational Logic, Matlab, Process Control, Sampling (Statistics), Embedded Systems, Engineering Analysis, System Requirements, Electrical and Computer Engineering, Mathematical Modeling, System Design and Implementation, Digital Design, Performance Testing, Simulations, Differential Equations, Estimation, Linear Algebra

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Glasgow

      Generative AI for Healthcare Students and Professionals

      Skills you'll gain: Data Ethics, Healthcare Industry Knowledge, Predictive Modeling, Healthcare Ethics, Generative AI, Prompt Engineering, Artificial Intelligence, Deep Learning, Health Care, Artificial Neural Networks, Image Analysis, Health Informatics, Medical Imaging, Augmented and Virtual Reality (AR/VR), Radiology, Bayesian Statistics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    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
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    1…596061…106

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

    • IBM Ethical Hacking with Open Source Tools: IBM
    • Cervical Cancer Risk Prediction Using Machine Learning: Coursera Project Network
    • Building Intelligent Troubleshooting Agents: Microsoft
    • Data Structures and Algorithms (I): Tsinghua University
    • Predicción de Ventas Pronosticando Tendencias : Coursera Project Network
    • Random Models, Nested and Split-plot Designs: Arizona State University
    • Data Analysis: S.P. Jain Institute of Management and Research
    • Data Analysis in R with RStudio & Tidyverse: Codio
    • ¿Qué hacer con tu estrategia digital en tiempos de cambio?: Tecnológico de Monterrey
    • Data Science Methods for Quality Improvement: University of Colorado Boulder

    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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