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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

    • I

      Imperial College London

      Probabilistic Deep Learning with TensorFlow 2

      Skills you'll gain: Generative AI, Tensorflow, Deep Learning, Image Analysis, Bayesian Statistics, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Dimensionality Reduction

      4.7
      Rating, 4.7 out of 5 stars
      ·
      108 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      YouTube como un canal estrategico

      Skills you'll gain: Content Performance Analysis, Drive Engagement, Content Strategy, Web Analytics, Social Media Content, Customer Engagement, Content Creation, Strategic Communication, Branding, Marketing Analytics, Social Media Strategy, Social Media, Marketing Channel, Video Production

      4.6
      Rating, 4.6 out of 5 stars
      ·
      80 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • 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

    • 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

      4.9
      Rating, 4.9 out of 5 stars
      ·
      27 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      U

      University of Colorado System

      Genetic Epidemiology Foundations

      Skills you'll gain: Epidemiology, Biostatistics, Statistical Analysis, Correlation Analysis, Medical Science and Research, Data Quality, Probability & Statistics, Molecular Biology, Statistical Methods, Regression Analysis, Data Validation, Biology

      4.5
      Rating, 4.5 out of 5 stars
      ·
      50 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Generalized Linear Models and Nonparametric Regression

      Skills you'll gain: Statistical Modeling, R Programming, Data Analysis, Data Ethics, Advanced Analytics, Statistical Methods, Regression Analysis, Machine Learning, Classification And Regression Tree (CART), Statistical Inference, Probability Distribution

      Build toward a degree

      4.3
      Rating, 4.3 out of 5 stars
      ·
      20 reviews

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Alteryx for Beginners

      Skills you'll gain: Alteryx, Spatial Data Analysis, Spatial Analysis, Data Transformation, Data Cleansing, Data Import/Export, Data Presentation, Data Manipulation, Geographic Information Systems, Data Wrangling, Data Visualization Software, Data Mapping, Data Analysis, Data Integration, Text Mining, File Management

      4.3
      Rating, 4.3 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 3 - 6 Months

    • S

      SAS

      Performing Network, Path, and Text Analyses in SAS Visual Analytics

      Skills you'll gain: SAS (Software), Network Analysis, Text Mining, Spatial Analysis, Data Visualization, Geospatial Mapping, Data Manipulation, Data Analysis, Business Analysis, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      193 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Instructor Network

      GenAI for Digital Marketing and Ecommerce Analysts

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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      25 reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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: New
      New
      I

      Illinois Tech

      Introduction to Data Science Techniques

      Skills you'll gain: Statistical Analysis, Time Series Analysis and Forecasting, Data Analysis, Machine Learning Algorithms, Data Visualization, Data Science, Exploratory Data Analysis, Data Presentation, Statistical Programming, Statistical Methods, Statistical Machine Learning, Data Cleansing, Applied Machine Learning, Analytics, Regression Analysis, R Programming, Statistical Software, Machine Learning, Forecasting, Statistical Modeling

      Build toward a degree

      4.2
      Rating, 4.2 out of 5 stars
      ·
      13 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      G

      Genentech

      Data Science with Real World Data in Pharma

      Skills you'll gain: Pharmaceuticals, Clinical Research, Clinical Trials, Statistical Analysis, Real Time Data, Data Analysis, Statistical Methods, Biostatistics, Data Science, Epidemiology, Health Informatics, Healthcare Industry Knowledge, Data Quality

      Intermediate · Course · 1 - 3 Months

    Searches related to statistics

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    1…545556…107

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

    • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
    • YouTube como un canal estrategico: Coursera Project Network
    • Data Analysis for Managerial Decision-Making: Rice University
    • PowerBI for Beginners: Sales Data Exploration: Coursera Project Network
    • Genetic Epidemiology Foundations: University of Colorado System
    • Generalized Linear Models and Nonparametric Regression: University of Colorado Boulder
    • Alteryx for Beginners: Packt
    • Performing Network, Path, and Text Analyses in SAS Visual Analytics: SAS
    • GenAI for Digital Marketing and Ecommerce Analysts: Coursera Instructor Network
    • The Total Data Quality Framework: 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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