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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

    • S

      Sungkyunkwan University

      The Fundamental of Data-Driven Investment

      Skills you'll gain: Portfolio Management, Investment Management, Performance Analysis, R Programming, Time Series Analysis and Forecasting, Risk Analysis, Financial Analysis, Financial Modeling, Regression Analysis, Data Manipulation, Data Visualization

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Foundations of Data Visualization

      Skills you'll gain: Data Presentation, Graphic and Visual Design, Data Storytelling, Design Elements And Principles, Plot (Graphics), Data Literacy, Exploratory Data Analysis, Scatter Plots

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Naive Bayes 101: Resume Selection with Machine Learning

      Skills you'll gain: Data Visualization, Matplotlib, Plot (Graphics), Exploratory Data Analysis, Text Mining, Applied Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Pandas (Python Package), Natural Language Processing, Predictive Modeling, Machine Learning, Data Processing, Unstructured Data, Data Analysis, Machine Learning Algorithms, Data Manipulation, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      17 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Launching into Machine Learning em Português Brasileiro

      Skills you'll gain: Exploratory Data Analysis, Data Quality, Data Cleansing, Machine Learning, Applied Machine Learning, Data Processing, Unsupervised Learning, Supervised Learning, Machine Learning Algorithms, Google Cloud Platform, Big Data, Sampling (Statistics), Performance Tuning, Regression Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      32 reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Data Catalog: Qwik Start

      Skills you'll gain: Metadata Management, Google Cloud Platform, Big Data, Exploratory Data Analysis, Data Management, Data Access, Cloud API

      Beginner · Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Covid-19 Death Medical Analysis & Visualization using Plotly

      Skills you'll gain: Plotly, Data Visualization, Datamaps, Data Visualization Software, Scatter Plots, Jupyter, Python Programming, Exploratory Data Analysis, Pandas (Python Package), Data Analysis, Medical Science and Research

      4.1
      Rating, 4.1 out of 5 stars
      ·
      12 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Association Rules Analysis

      Skills you'll gain: Unsupervised Learning, Anomaly Detection, Machine Learning Methods, Data Mining, Applied Machine Learning, Feature Engineering, Exploratory Data Analysis, Data Processing, Data Analysis, Machine Learning Algorithms, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      American History Through Baseball

      Skills you'll gain: Labor Relations, Labor Law, Culture, Social Studies, World History, Cultural Diversity, Economic Development, Socioeconomics, Social Justice, Global Marketing, Anthropology, Business Economics, Demography, Social Sciences, Market Opportunities, Economics, Public Safety and National Security, International Relations, Trend Analysis, Political Sciences

      4.4
      Rating, 4.4 out of 5 stars
      ·
      13 reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Análisis exploratorio de datos con Python y Pandas

      Skills you'll gain: Exploratory Data Analysis, Pandas (Python Package), Seaborn, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, NumPy, Data Cleansing, Descriptive Statistics, Python Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      14 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • S

      Sungkyunkwan University

      Machine Learning Algorithms

      Skills you'll gain: Machine Learning Algorithms, Decision Tree Learning, Unsupervised Learning, Machine Learning, Supervised Learning, Python Programming, Algorithms, Linear Algebra, Bayesian Statistics, Probability & Statistics

      3.5
      Rating, 3.5 out of 5 stars
      ·
      8 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Agile Strategy for Competitive Advantage

      Skills you'll gain: Market Trend, Strategic Thinking, Innovation, Market Opportunities, Business Strategy, Business Transformation, Competitive Analysis, Agile Project Management, Trend Analysis, Digital Transformation

      4.3
      Rating, 4.3 out of 5 stars
      ·
      17 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      L

      LearnKartS

      Monitor and Close Risks

      Skills you'll gain: Project Risk Management, Continuous Monitoring, Performance Analysis, Risk Analysis, Risk Management, Operational Risk, Management Reporting, Project Documentation, Contract Management, Change Control, Trend Analysis, Variance Analysis, Stakeholder Communications

      Intermediate · Course · 1 - 4 Weeks

    Searches related to statistics

    statistics with python
    statistics for data science
    statistics for business
    statistics for data analysis
    statistics with r
    statistics in psychological research
    statistics for data science with python
    statistics and data analysis with excel, part 1
    1…798081…107

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

    • The Fundamental of Data-Driven Investment: Sungkyunkwan University
    • Foundations of Data Visualization: Johns Hopkins University
    • Naive Bayes 101: Resume Selection with Machine Learning: Coursera Project Network
    • Launching into Machine Learning em Português Brasileiro: Google Cloud
    • Data Catalog: Qwik Start: Google Cloud
    • Covid-19 Death Medical Analysis & Visualization using Plotly: Coursera Project Network
    • Association Rules Analysis: University of Colorado Boulder
    • American History Through Baseball: University of Colorado Boulder
    • Análisis exploratorio de datos con Python y Pandas: Coursera Project Network
    • Machine Learning Algorithms: Sungkyunkwan University

    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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