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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: Preview
      Preview
      C

      Coursera Instructor Network

      GenAI for Business Intelligence Analysts

      Skills you'll gain: Business Intelligence, Generative AI, Business Analytics, Data Analysis, Analytics, Data Storytelling, Data-Driven Decision-Making, Exploratory Data Analysis, Business Process Improvement, Operational Efficiency, Data Ethics, Project Implementation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Introduction to Time Series

      Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, Statistical Analysis, R Programming, Statistical Modeling, Regression Analysis, Statistical Methods, Probability & Statistics, Exploratory Data Analysis, Data Manipulation

      4
      Rating, 4 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      Data Collection and Root Cause Analysis

      Skills you'll gain: Root Cause Analysis, Correlation Analysis, Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistical Analysis, Statistics, Process Mapping, Data Collection, Six Sigma Methodology, Lean Six Sigma, Process Analysis, Data Analysis, Business Process Improvement, Workflow Management, Statistical Inference, Pareto Chart, Operational Efficiency, Performance Measurement

      4
      Rating, 4 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      SAS

      Data Literacy Essentials

      Skills you'll gain: Data Literacy, Data-Driven Decision-Making, Data Storytelling, Data Analysis, Data Quality, Data Ethics, Data Visualization Software, Diversity Awareness, Trend Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Corporate Finance Institute

      Regression Analysis - Fundamentals & Practical Applications

      Skills you'll gain: Regression Analysis, Statistical Modeling, Predictive Modeling, Statistical Analysis, Data Analysis, Scatter Plots, Exploratory Data Analysis, Scikit Learn (Machine Learning Library), Microsoft Excel, Pandas (Python Package), Matplotlib

      Advanced · Course · 1 - 3 Months

    • Status: Preview
      Preview
      B

      Ball State University

      Data Visualization

      Skills you'll gain: Exploratory Data Analysis, Box Plots, Scatter Plots, Data Visualization Software, Rmarkdown, Plot (Graphics), Ggplot2, Data Presentation, Histogram, R Programming, Data Analysis, Graphing

      Build toward a degree

      3.6
      Rating, 3.6 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Build a Machine Learning Image Classifier with Python

      Skills you'll gain: Keras (Neural Network Library), Data Processing, Exploratory Data Analysis, Data Visualization, Data Manipulation, Applied Machine Learning, Image Analysis, Computer Vision, Machine Learning Methods, Jupyter, Test Data, Machine Learning, Deep Learning

      3.9
      Rating, 3.9 out of 5 stars
      ·
      9 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Perform basic data analysis tasks using Java streams

      Skills you'll gain: Data Analysis, Data Import/Export, Exploratory Data Analysis, Java, Data Manipulation, Java Programming, Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      BiteSize Python: NumPy and Pandas

      Skills you'll gain: Pandas (Python Package), NumPy, Data Cleansing, Data Structures, Data Manipulation, Python Programming, Data Transformation, Jupyter, Exploratory Data Analysis, Statistical Analysis, Linear Algebra

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Using Custom Fields in Looker Explores

      Skills you'll gain: Looker (Software), Ad Hoc Analysis, Dashboard, Data Analysis, Exploratory Data Analysis, Database Application

      Beginner · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      Universidad Nacional Autónoma de México

      Python: de usuario a explorador de datos

      Skills you'll gain: Matplotlib, Extract, Transform, Load, Pandas (Python Package), Plot (Graphics), NumPy, Exploratory Data Analysis, Data Import/Export, Data Manipulation, Data Transformation, Data Analysis, Microsoft Excel, Data Visualization Software, Graphing, Python Programming

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Variable Selection, Model Validation, Nonlinear Regression

      Skills you'll gain: Statistical Inference, Regression Analysis, Statistical Methods, Statistical Analysis, R Programming, Advanced Analytics, Statistical Modeling, Predictive Modeling, Mathematical Modeling, Statistical Hypothesis Testing, Probability Distribution, Probability

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

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    1…878889…110

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

    • GenAI for Business Intelligence Analysts: Coursera Instructor Network
    • Introduction to Time Series: Illinois Tech
    • Data Collection and Root Cause Analysis: SkillUp EdTech
    • Data Literacy Essentials: SAS
    • Regression Analysis - Fundamentals & Practical Applications: Corporate Finance Institute
    • Data Visualization: Ball State University
    • Build a Machine Learning Image Classifier with Python: Coursera Project Network
    • Perform basic data analysis tasks using Java streams: Coursera Project Network
    • BiteSize Python: NumPy and Pandas: University of Colorado Boulder
    • Using Custom Fields in Looker Explores: Google Cloud

    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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