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    • Statistics

    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
      A

      Alberta Machine Intelligence Institute

      Data for Machine Learning

      Skills you'll gain: Feature Engineering, Data Quality, Data Processing, Supervised Learning, Data Validation, Data Cleansing, Machine Learning Methods, Test Data, Data Transformation, Verification And Validation, Applied Machine Learning, Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Predictive Modeling, Exploratory Data Analysis, Python Programming, Computer Programming, Linear Algebra, Statistical Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      98 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Generalized Linear Models and Nonparametric Regression

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

      Build toward a degree

      4.3
      Rating, 4.3 out of 5 stars
      ·
      20 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Splunk Inc.

      Splunk Search Expert 103

      Skills you'll gain: Splunk, Correlation Analysis, Performance Tuning, Data Manipulation, Data Analysis, Data Modeling, Big Data, Transaction Processing, Data Science, Business Analytics, Data Visualization

      4.7
      Rating, 4.7 out of 5 stars
      ·
      46 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      U

      University of Colorado Boulder

      Introduction to Python for Scientific Computing

      Skills you'll gain: Scientific Visualization, NumPy, Data Visualization, Debugging, Matplotlib, Numerical Analysis, Engineering Calculations, Integrated Development Environments, Computational Thinking, Engineering Analysis, Programming Principles, Jupyter, Data Analysis, Computer Programming

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      C

      Columbia University

      Causal Inference 2

      Skills you'll gain: Statistical Inference, Econometrics, Advanced Analytics, Statistical Analysis, Regression Analysis, Time Series Analysis and Forecasting, Statistical Methods, Statistical Modeling, Research Design

      3.4
      Rating, 3.4 out of 5 stars
      ·
      14 reviews

      Advanced · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Essential Causal Inference Techniques for Data Science

      Skills you'll gain: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      38 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Create an A/B web page marketing test with Google Optimize

      Skills you'll gain: A/B Testing, Google Analytics, Web Analytics, User Experience, Web Content, Target Audience, Marketing Effectiveness, Goal Setting, Marketing, Content Development and Management, Analytics

      4.4
      Rating, 4.4 out of 5 stars
      ·
      108 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      C

      Corporate Finance Institute

      Practical Data Science for Data Analysts

      Skills you'll gain: Feature Engineering, Data Import/Export, Matplotlib, Exploratory Data Analysis, Data Science, Regression Analysis, Financial Data, Data Analysis, Business Analytics, Data Cleansing, Data Literacy, Pandas (Python Package), Machine Learning Algorithms, Statistical Visualization, Financial Analysis, Predictive Modeling, Applied Machine Learning, Statistical Modeling, Statistical Analysis, Predictive Analytics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      21 reviews

      Advanced · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Analyze Box Office Data with Seaborn and Python

      Skills you'll gain: Exploratory Data Analysis, Seaborn, Plotly, Data Visualization, Data Visualization Software, Interactive Data Visualization, Data Analysis, Python Programming, Predictive Modeling, Data Science, Jupyter, Cloud Applications

      4.5
      Rating, 4.5 out of 5 stars
      ·
      181 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Excel Regression Models for Business Forecasting

      Skills you'll gain: Forecasting, Regression Analysis, Time Series Analysis and Forecasting, Business Mathematics, Microsoft Excel, Statistical Modeling, Trend Analysis, Statistical Analysis, Data Visualization Software

      4.9
      Rating, 4.9 out of 5 stars
      ·
      109 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Create a Custom Marketing Analytics Dashboard in Data Studio

      Skills you'll gain: Data Visualization, Business Analytics, Dashboard, Data Analysis, Data Storytelling, Google Analytics, Marketing Analytics, Data-Driven Decision-Making, Business Metrics, Data Integration, Google Ads

      4.5
      Rating, 4.5 out of 5 stars
      ·
      112 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      K

      Kennesaw State University

      The Control Phase for the 6 σ Black Belt

      Skills you'll gain: Statistical Process Controls, Lean Six Sigma, Six Sigma Methodology, Lean Manufacturing, Process Improvement, Process Capability, Quality Improvement, Continuous Improvement Process, Process Analysis, Variance Analysis, Facility Repair And Maintenance, Document Management, Training Programs

      4.4
      Rating, 4.4 out of 5 stars
      ·
      34 reviews

      Mixed · Course · 1 - 3 Months

    Searches related to statistics

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    1…666768…116

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

    • Data for Machine Learning: Alberta Machine Intelligence Institute
    • Generalized Linear Models and Nonparametric Regression: University of Colorado Boulder
    • Splunk Search Expert 103: Splunk Inc.
    • Introduction to Python for Scientific Computing: University of Colorado Boulder
    • Causal Inference 2: Columbia University
    • Essential Causal Inference Techniques for Data Science: Coursera Project Network
    • Create an A/B web page marketing test with Google Optimize: Coursera Project Network
    • Practical Data Science for Data Analysts: Corporate Finance Institute
    • Analyze Box Office Data with Seaborn and Python: Coursera Project Network
    • Excel Regression Models for Business Forecasting: Macquarie University

    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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