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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: Free Trial
      Free Trial
      E

      Emory University

      Introduction to Social Media Analytics

      Skills you'll gain: Social Media Marketing, Social Media, Marketing Analytics, Text Mining, Consumer Behaviour, Data Mining, Customer Insights, Market Analysis, Data Analysis Software, Trend Analysis, Research

      4.3
      Rating, 4.3 out of 5 stars
      ·
      108 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Introduction to Data Science and scikit-learn in Python

      Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, NumPy, Data Analysis, Data Processing, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning, Classification And Regression Tree (CART), Statistical Methods, Computer Programming, Data Structures

      3.7
      Rating, 3.7 out of 5 stars
      ·
      49 reviews

      Beginner · Course · 1 - 4 Weeks

    • É

      École Polytechnique Fédérale de Lausanne

      Éléments de Géomatique

      Skills you'll gain: Geospatial Mapping, Geographic Information Systems, Spatial Data Analysis, Geospatial Information and Technology, Spatial Analysis, Land Development, Global Positioning Systems, 3D Modeling, Visualization (Computer Graphics), Survey Creation, Systems Of Measurement, Engineering Calculations, Trigonometry, Applied Mathematics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      141 reviews

      Intermediate · 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
      ·
      12 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Predictive Modeling and Machine Learning with MATLAB

      Skills you'll gain: Supervised Learning, Applied Machine Learning, Matlab, Regression Analysis, Predictive Modeling, Classification And Regression Tree (CART), Machine Learning, Predictive Analytics, Feature Engineering, Statistical Modeling, Data Processing, Sampling (Statistics)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      118 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      T

      Tecnológico de Monterrey

      Analíticas y Métricas de Marketing

      Skills you'll gain: Web Analytics, Google Analytics, Web Analytics and SEO, Marketing Analytics, Marketing Effectiveness, Content Performance Analysis, Digital Marketing, Business Metrics, Target Audience, Analytics, Performance Measurement, Key Performance Indicators (KPIs), Competitive Analysis, User Research

      4.7
      Rating, 4.7 out of 5 stars
      ·
      179 reviews

      Beginner · 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

    • C

      Coursera Instructor Network

      GenAI for Digital Marketing and Ecommerce Analysts

      Skills you'll gain: Data Visualization, Data Presentation, E-Commerce, Analytics, Key Performance Indicators (KPIs), Web Analytics, Google Analytics, Generative AI, Marketing Analytics, Data Analysis, Business Strategy, Data-Driven Decision-Making, Business Intelligence, Prompt Engineering, Data Processing, Artificial Intelligence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      25 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Data Analytics and Deep Learning

      Skills you'll gain: NoSQL, Machine Learning Algorithms, Big Data, Apache Hadoop, Deep Learning, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Apache Spark, Data Presentation, Generative AI, Data Infrastructure, Data Cleansing, Real Time Data, Apache Kafka, Artificial Neural Networks, Keras (Neural Network Library), PyTorch (Machine Learning Library), Tensorflow

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      25 reviews

      Intermediate · Specialization · 3 - 6 Months

    • 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

    • U

      Universidad Austral

      Modelización Cuantitativa para Finanzas Corporativas

      Skills you'll gain: Financial Modeling, Time Series Analysis and Forecasting, Regression Analysis, Predictive Modeling, Forecasting, Finance, Trend Analysis, R Programming, Financial Analysis, Statistical Analysis, Probability & Statistics, Estimation, Risk Analysis, Microsoft Excel

      4.5
      Rating, 4.5 out of 5 stars
      ·
      26 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

    Searches related to statistics

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    statistics with r
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    statistics for data science with python
    statistics and data analysis with excel, part 1
    1…535455…107

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

    • Introduction to Social Media Analytics: Emory University
    • Introduction to Data Science and scikit-learn in Python: LearnQuest
    • Éléments de Géomatique: École Polytechnique Fédérale de Lausanne
    • Infectious Disease Modeling in Practice: Johns Hopkins University
    • Predictive Modeling and Machine Learning with MATLAB: MathWorks
    • Analíticas y Métricas de Marketing: Tecnológico de Monterrey
    • Affiliate Marketing Course: Simplilearn
    • GenAI for Digital Marketing and Ecommerce Analysts: Coursera Instructor Network
    • Data Analytics and Deep Learning: Illinois Tech
    • PowerBI for Beginners: Sales Data Exploration: Coursera Project Network

    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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