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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
      K

      Kennesaw State University

      Six Sigma Tools for Analyze

      Skills you'll gain: Root Cause Analysis, Process Analysis, Six Sigma Methodology, Process Capability, Probability & Statistics, Statistical Analysis, Statistics, Lean Methodologies, Data Analysis, Process Improvement, Process Mapping, Variance Analysis, Risk Analysis, Systems Of Measurement, Quality Assessment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.9K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Neural Networks and PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Statistical Methods, Predictive Modeling, Tensorflow, Artificial Neural Networks, Probability & Statistics, Deep Learning, Classification And Regression Tree (CART), Regression Analysis, Data Manipulation, Data Structures

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Toronto

      Introduction to GIS Mapping

      Skills you'll gain: ArcGIS, Geospatial Information and Technology, Geographic Information Systems, Geospatial Mapping, GIS Software, Spatial Analysis, Data Mapping

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.3K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Statistical Inference and Hypothesis Testing in Data Science Applications

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Probability & Statistics, Statistical Inference, Sampling (Statistics), Statistical Analysis, Probability Distribution

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      50 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      U

      University of London

      Foundations of Data Science: K-Means Clustering in Python

      Skills you'll gain: Pandas (Python Package), Data Visualization, Applied Machine Learning, Matplotlib, Probability & Statistics, Data Manipulation, Unsupervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Statistics, Data Science, Machine Learning Algorithms, NumPy, Python Programming, Statistical Analysis, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      728 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      T

      The State University of New York

      Practical Time Series Analysis

      Skills you'll gain: Time Series Analysis and Forecasting, Statistical Analysis, R Programming, Data Visualization, Data Analysis, Statistical Modeling, Exploratory Data Analysis, Probability & Statistics, Descriptive Statistics, Forecasting, Statistical Inference

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Geneva

      Portfolio and Risk Management

      Skills you'll gain: Portfolio Management, Risk Management, Investments, Asset Management, Risk Analysis, Finance, Financial Market, Equities, Derivatives, Target Audience, Probability Distribution, Estimation, Variance Analysis, Correlation Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing with Attention Models

      Skills you'll gain: Natural Language Processing, Large Language Modeling, PyTorch (Machine Learning Library), Keras (Neural Network Library), Tensorflow, Deep Learning, Artificial Neural Networks, Machine Learning Methods, Artificial Intelligence

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      W

      Wesleyan University

      Data Analysis and Interpretation

      Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Predictive Modeling, Data Mining, Report Writing, Data Visualization, Unsupervised Learning, Predictive Analytics, Statistical Analysis, Random Forest Algorithm, Decision Tree Learning, Quantitative Research, SAS (Software), Statistical Methods, Data Visualization Software, Statistical Programming, Data Management, Data Analysis, Statistics, Machine Learning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Google Advanced Data Analytics Capstone

      Skills you'll gain: Advanced Analytics, Portfolio Management, Analytical Skills, Data Analysis, Project Management, Project Documentation, Artificial Intelligence, Presentations, Python Programming, Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Regression Models

      Skills you'll gain: Regression Analysis, Data Science, Statistical Modeling, Statistical Analysis, Data Analysis, Predictive Modeling, Statistical Methods, Supervised Learning, Mathematical Modeling, Statistical Inference

      4.4
      Rating, 4.4 out of 5 stars
      ·
      3.4K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      SAS

      Introduction to Statistical Analysis: Hypothesis Testing

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, SAS (Software), Regression Analysis, Statistical Methods, Probability & Statistics, Statistical Modeling, Plot (Graphics), Data Analysis, Statistical Inference

      4.7
      Rating, 4.7 out of 5 stars
      ·
      170 reviews

      Intermediate · Course · 1 - 4 Weeks

    Searches related to statistics

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    1…242526…112

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

    • Six Sigma Tools for Analyze: Kennesaw State University
    • Introduction to Neural Networks and PyTorch: IBM
    • Introduction to GIS Mapping: University of Toronto
    • Statistical Inference and Hypothesis Testing in Data Science Applications: University of Colorado Boulder
    • Foundations of Data Science: K-Means Clustering in Python: University of London
    • Practical Time Series Analysis: The State University of New York
    • Portfolio and Risk Management: University of Geneva
    • Natural Language Processing with Attention Models: DeepLearning.AI
    • Data Analysis and Interpretation: Wesleyan University
    • Google Advanced Data Analytics Capstone: Google

    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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