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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
      D

      Duke University

      Explainable Machine Learning (XAI)

      Skills you'll gain: Large Language Modeling, Generative AI, Data Ethics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Applied Machine Learning, Predictive Modeling, Exploratory Data Analysis, Image Analysis, Machine Learning, Scatter Plots, Visualization (Computer Graphics), Deep Learning, Predictive Analytics, Artificial Neural Networks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      A

      American Psychological Association

      The Psychology of Gender and Sexuality

      Skills you'll gain: Sociology, Psychology, Cultural Diversity, Human Development, Social Sciences, Biology, Trend Analysis, Statistical Analysis, Research

      Beginner · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      E

      Emory University

      Marketing Analytics Capstone Project

      Skills you'll gain: Marketing Analytics, Exploratory Data Analysis, Predictive Modeling, Analytical Skills, Business Analytics, Regression Analysis, Data Analysis, Data Validation, Data Visualization

      4.4
      Rating, 4.4 out of 5 stars
      ·
      30 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SAS

      Analyzing Time Series and Sequential Data

      Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Forecasting, Feature Engineering, Statistical Analysis, Data Analysis, Statistical Methods, Advanced Analytics, Regression Analysis, Data Transformation, Exploratory Data Analysis, Predictive Modeling, Applied Machine Learning, Anomaly Detection, Statistical Modeling, Unsupervised Learning, Bayesian Statistics, Automation, Data Processing, Data Manipulation

      5
      Rating, 5 out of 5 stars
      ·
      10 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Mining Project

      Skills you'll gain: Data Mining, Data Integration, Data Science, Data Analysis, Data Presentation, Exploratory Data Analysis, Data Collection, Technical Communication, Technical Writing

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      27 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Scrape and analyze data analyst job requirements with Python

      Skills you'll gain: Web Scraping, Data Visualization, Data Presentation, Data Cleansing, Exploratory Data Analysis, Scripting, Data Analysis, Data Manipulation, Data Import/Export, Data Capture, Data Transformation, Python Programming, Jupyter

      3.3
      Rating, 3.3 out of 5 stars
      ·
      14 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Preview
      Preview
      J

      Johns Hopkins University

      Introduction to Uncertainty Quantification

      Skills you'll gain: Probability, Bayesian Statistics, Probability Distribution, Risk Modeling, Mathematical Modeling, Statistical Inference, Markov Model, Reliability, Simulations, Applied Mathematics, Statistical Analysis, Regression Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      U

      University of Illinois Urbana-Champaign

      Getting Started with CyberGIS

      Skills you'll gain: Geospatial Information and Technology, Geographic Information Systems, Apache Hadoop, Spatial Data Analysis, Geospatial Mapping, Spatial Analysis, Big Data, Matplotlib, Data Processing, Computational Thinking, Distributed Computing, Data Manipulation, Python Programming

      4.2
      Rating, 4.2 out of 5 stars
      ·
      30 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      F

      Fred Hutchinson Cancer Center

      Researcher's guide to omic fundamentals

      Skills you'll gain: Bioinformatics, Molecular Biology, Data Processing, Data Analysis, Exploratory Data Analysis, Statistical Analysis, Metadata Management, R Programming, Scientific Methods, Data Quality, Command-Line Interface

      4
      Rating, 4 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      U

      Universidade de São Paulo

      Redes Ecológicas

      Skills you'll gain: Network Analysis, Data Visualization, Graph Theory, Exploratory Data Analysis, Environmental Science, Data Analysis, Ggplot2, R Programming, Data Science, Tidyverse (R Package), Data Processing

      5
      Rating, 5 out of 5 stars
      ·
      35 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Cervical Cancer Risk Prediction Using Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Data Analysis, Statistical Analysis, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Predictive Modeling, Matplotlib, Data Import/Export, Pandas (Python Package), Applied Machine Learning, Data Visualization Software, NumPy, Data Manipulation, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      43 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      T

      Tecnológico de Monterrey

      Analíticas en Páginas Web

      Skills you'll gain: Web Analytics, Search Engine Marketing, Marketing Analytics, Market Research, Digital Marketing, Search Engine Optimization, Analytical Skills, Online Advertising, Email Marketing, Marketing Effectiveness, Analytics, Content Performance Analysis, Market Intelligence, Customer Insights, Consumer Behaviour, Digital Advertising, Pay Per Click Advertising, Customer Relationship Management, Browser Compatibility, Advertising Campaigns

      4.9
      Rating, 4.9 out of 5 stars
      ·
      30 reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to statistics

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    1…757677…112

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

    • Explainable Machine Learning (XAI): Duke University
    • The Psychology of Gender and Sexuality: American Psychological Association
    • Marketing Analytics Capstone Project: Emory University
    • Analyzing Time Series and Sequential Data: SAS
    • Data Mining Project: University of Colorado Boulder
    • Scrape and analyze data analyst job requirements with Python: Coursera Project Network
    • Introduction to Uncertainty Quantification: Johns Hopkins University
    • Getting Started with CyberGIS: University of Illinois Urbana-Champaign
    • Researcher's guide to omic fundamentals: Fred Hutchinson Cancer Center
    • Redes Ecológicas: Universidade de São Paulo

    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.

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