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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

    • 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
      U

      University of Michigan

      The Total Data Quality Framework

      Skills you'll gain: Data Quality, Data Cleansing, Data Collection, Data Validation, Data Analysis, Data Processing, Threat Detection, Data Access, Sampling (Statistics)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      45 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Accounting Data Analytics with Python

      Skills you'll gain: Jupyter, Matplotlib, Pandas (Python Package), Data Manipulation, SQL, Data Visualization Software, Seaborn, Data Processing, Data Structures, NumPy, Programming Principles, Business Analysis, Databases, Accounting, Relational Databases, Data Modeling, Python Programming, Descriptive Statistics, Statistical Machine Learning, Regression Analysis

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      108 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      Advanced Statistical Analysis and Tools

      Skills you'll gain: Statistical Process Controls, Statistical Hypothesis Testing, Process Improvement, Lean Methodologies, Kaizen Methodology, Process Capability, Six Sigma Methodology, Risk Analysis, Quality Improvement, Process Analysis, Statistical Analysis, Statistical Methods, Risk Management, Business Process, Sample Size Determination, Data Collection, Graphing

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Intermediate · 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
      R

      Rice University

      Data Analysis for Managerial Decision-Making

      Skills you'll gain: Microsoft Excel, Descriptive Statistics, Business Analytics, Box Plots, Probability Distribution, Data Visualization, Probability, Statistics, Business Mathematics, Spreadsheet Software, Data-Driven Decision-Making, Algebra, Bayesian Statistics, Arithmetic, Statistical Analysis, Quantitative Research, Data Analysis, Regression Analysis, Correlation Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Infectious Disease Modeling in Practice

      Skills you'll gain: Epidemiology, Mathematical Modeling, Infectious Diseases, Public Health, Risk Modeling, Predictive Modeling, Forecasting, Data Analysis, Statistics, Probability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      Universidade de São Paulo

      Redes Ecológicas

      Skills you'll gain: Network Analysis, Data Visualization, Scientific Visualization, Analysis, Graph Theory, Exploratory Data Analysis, Environmental Science, R Programming, Data Analysis Software, Mathematical Modeling, Data Manipulation

      5
      Rating, 5 out of 5 stars
      ·
      35 reviews

      Beginner · 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
      ·
      20 reviews

      Beginner · Course · 1 - 4 Weeks

    • 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
      ·
      44 reviews

      Advanced · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      PowerBI for Beginners: Sales Data Exploration

      Skills you'll gain: Power BI, Interactive Data Visualization, Data Visualization, Data Presentation, Dashboard, Trend Analysis, Exploratory Data Analysis, Customer Analysis, Data Visualization Software, Sales, Business Intelligence, Data Analysis, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      29 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • T

      The Hong Kong University of Science and Technology

      Understanding China, 1700-2000: A Data Analytic Approach, Part 1

      Skills you'll gain: Social Sciences, Socioeconomics, World History, Sociology, Trend Analysis, Data Analysis, Big Data, Research, Economics, Economic Development, Higher Education, Political Sciences, Culture, Data Collection, Education and Training

      4.6
      Rating, 4.6 out of 5 stars
      ·
      124 reviews

      Mixed · Course · 1 - 3 Months

    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
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    1…545556…106

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

    • Introduction to the Tidyverse: Johns Hopkins University
    • The Total Data Quality Framework: University of Michigan
    • Accounting Data Analytics with Python: University of Illinois Urbana-Champaign
    • Advanced Statistical Analysis and Tools : SkillUp EdTech
    • Affiliate Marketing Course: Simplilearn
    • Data Analysis for Managerial Decision-Making: Rice University
    • Infectious Disease Modeling in Practice: Johns Hopkins University
    • Redes Ecológicas: Universidade de São Paulo
    • Research Instruments and Research Hypotheses: Queen Mary University of London
    • Splunk Administration and Advanced Topics: EDUCBA

    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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