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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

    • C

      Coursera Project Network

      Clean and analyze social media usage data with Python

      Skills you'll gain: Data Visualization, Matplotlib, Marketing Analytics, Web Scraping, Social Media Marketing, Python Programming, Social Media, Pandas (Python Package), Text Mining, Trend Analysis, Data Analysis, Data Wrangling, Exploratory Data Analysis, Data Cleansing, Jupyter

      4.1
      Rating, 4.1 out of 5 stars
      ·
      32 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Mining Quality Prediction Using Machine & Deep Learning

      Skills you'll gain: Regression Analysis, Predictive Modeling, Exploratory Data Analysis, Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Decision Tree Learning, Statistical Analysis, Data Analysis, Test Data, Artificial Neural Networks, Data Import/Export, Pandas (Python Package), Software Visualization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      66 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Launching into Machine Learning 日本語版

      Skills you'll gain: Data Quality, Data Cleansing, Machine Learning, Applied Machine Learning, Exploratory Data Analysis, Machine Learning Algorithms, Supervised Learning, Data Validation, Artificial Intelligence and Machine Learning (AI/ML), Google Cloud Platform, Regression Analysis, Performance Tuning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      50 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Advanced Topics and Future Trends in Database Technologies

      Skills you'll gain: NoSQL, Database Management Systems, Data Warehousing, Database Administration, Databases, Database Architecture and Administration, Database Management, Relational Databases, Database Design, MongoDB, Big Data, Data Architecture, Transaction Processing, Scalability

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      54 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      Institute for the Future

      Life After COVID-19: Get Ready for our Post-Pandemic Future

      Skills you'll gain: Organizational Leadership, Visionary, Forecasting, Resilience, Risk Management, Organizational Change, Adaptability, Systems Thinking, Strategic Thinking, Innovation, Change Management, Trend Analysis, Social Justice, Creative Thinking

      4.8
      Rating, 4.8 out of 5 stars
      ·
      55 reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Random Processes

      Skills you'll gain: Probability & Statistics, Probability Distribution, Simulations, Statistical Modeling, Estimation, Correlation Analysis, Engineering Analysis, Statistical Analysis, Reliability, Engineering, Spatial Analysis

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Glasgow

      Data mining of Clinical Databases - CDSS 1

      Skills you'll gain: Health Informatics, ICD Coding (ICD-9/ICD-10), Clinical Data Management, Data Mining, Descriptive Analytics, Database Design, Electronic Medical Record, Precision Medicine, Patient Flow, Predictive Analytics, Data Ethics, Biostatistics, SQL, Interoperability, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      14 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      F

      Fractal Analytics

      Python for Data Science

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Visualization, Statistical Analysis, Probability & Statistics, Statistics, Data Wrangling, Pandas (Python Package), Data Analysis, Jupyter, Data Processing, Data Manipulation, Data Science, Descriptive Statistics, Data Transformation, Applied Machine Learning, Data Cleansing, Python Programming

      4
      Rating, 4 out of 5 stars
      ·
      45 reviews

      Beginner · Course · 1 - 3 Months

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

      Microsoft

      Visualization for Data Analysis with Power BI

      Skills you'll gain: Power BI, Data Ethics, Data Visualization Software, Data Analysis, Statistical Analysis, Correlation Analysis, Business Intelligence, Advanced Analytics, Data Analysis Expressions (DAX), Analytics, Data-Driven Decision-Making, Exploratory Data Analysis, Trend Analysis, Time Series Analysis and Forecasting, Scatter Plots, Geospatial Information and Technology, Root Cause Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Exploratory Data Analysis for the Public Sector with ggplot

      Skills you'll gain: Exploratory Data Analysis, Plot (Graphics), Data Presentation, Ggplot2, Statistical Visualization, R Programming, Data Visualization Software, Data Analysis, Scatter Plots, Graphic and Visual Design, Histogram, Tidyverse (R Package), Public Administration, Trend Analysis, Policy Analysis

      5
      Rating, 5 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Measurement – Turning Concepts into Data

      Skills you'll gain: Surveys, Survey Creation, Sampling (Statistics), Quantitative Research, Research Methodologies, Data Analysis, Data Quality, Data Transformation, Data Modeling, Data Validation, Statistical Methods

      4.7
      Rating, 4.7 out of 5 stars
      ·
      77 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Data Analysis in R: Predictive Analysis with Regression

      Skills you'll gain: Ggplot2, Data Visualization, Regression Analysis, Predictive Analytics, Data-Driven Decision-Making, Statistical Modeling, R Programming, Descriptive Statistics, Exploratory Data Analysis, Statistics

      4.2
      Rating, 4.2 out of 5 stars
      ·
      13 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    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…616263…106

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

    • Clean and analyze social media usage data with Python: Coursera Project Network
    • Mining Quality Prediction Using Machine & Deep Learning: Coursera Project Network
    • Launching into Machine Learning 日本語版: Google Cloud
    • Advanced Topics and Future Trends in Database Technologies: University of Colorado Boulder
    • Life After COVID-19: Get Ready for our Post-Pandemic Future: Institute for the Future
    • Random Processes: Johns Hopkins University
    • Data mining of Clinical Databases - CDSS 1: University of Glasgow
    • Python for Data Science: Fractal Analytics
    • Visualization for Data Analysis with Power BI: Microsoft
    • Exploratory Data Analysis for the Public Sector with ggplot: University of Michigan

    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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