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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
      U

      University of Colorado System

      Kalman Filter Boot Camp (and State Estimation)

      Skills you'll gain: Linear Algebra, Mathematical Modeling, Estimation, Matlab, Simulations, Engineering Analysis, Applied Mathematics, Control Systems, Time Series Analysis and Forecasting, Probability & Statistics, Statistical Methods, Probability Distribution

      4.9
      Rating, 4.9 out of 5 stars
      ·
      16 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      U

      Universidad Austral

      Cómo Invertir en Cripto

      Skills you'll gain: Technical Analysis, Digital Assets, Investments, Financial Trading, Blockchain, Portfolio Management, Market Trend, Financial Analysis, Asset Protection, Market Data, Cryptography, Asset Management, FinTech, Trend Analysis, Data Mining, Decision Making

      4.8
      Rating, 4.8 out of 5 stars
      ·
      117 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      Universidad Nacional Autónoma de México

      Python: de cero a analista de datos

      Skills you'll gain: Exploratory Data Analysis, Matplotlib, Pandas (Python Package), Extract, Transform, Load, Data Analysis, NumPy, Package and Software Management, Time Series Analysis and Forecasting, Data Visualization Software, Data Science, Python Programming, Jupyter, Graphing, Data Import/Export, Data Manipulation, Scripting, Software Installation, Computational Thinking, Development Environment, Mac OS

      4.1
      Rating, 4.1 out of 5 stars
      ·
      66 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Preview
      Preview
      É

      École Polytechnique Fédérale de Lausanne

      Systèmes d’Information Géographique - Partie 2

      Skills you'll gain: GIS Software, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, Spatial Data Analysis, Augmented Reality, Data Visualization Software, Data Mapping, Database Management

      4.3
      Rating, 4.3 out of 5 stars
      ·
      43 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Linear Regression Modeling for Health Data

      Skills you'll gain: Statistical Modeling, Regression Analysis, Statistical Methods, Statistical Inference, Probability & Statistics, Correlation Analysis, Data Analysis, Statistical Analysis, Statistical Hypothesis Testing, Predictive Modeling

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Glasgow

      Informed Clinical Decision Making using Deep Learning

      Skills you'll gain: Deep Learning, Data Ethics, Health Informatics, ICD Coding (ICD-9/ICD-10), Clinical Data Management, Descriptive Analytics, Database Design, Electronic Medical Record, Data Mining, Precision Medicine, Healthcare Ethics, Electocardiography, Machine Learning, Machine Learning Methods, Patient Flow, Artificial Neural Networks, Descriptive Statistics, Predictive Analytics, Applied Machine Learning, Image Analysis

      4.3
      Rating, 4.3 out of 5 stars
      ·
      33 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Random Models, Nested and Split-plot Designs

      Skills you'll gain: Statistical Analysis, Regression Analysis, Statistical Modeling, Data Analysis, Statistical Methods, Data Transformation, Probability Distribution

      4.7
      Rating, 4.7 out of 5 stars
      ·
      35 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Unsupervised Algorithms in Machine Learning

      Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Machine Learning Algorithms, Machine Learning, Data Science, Scikit Learn (Machine Learning Library), Python Programming, NumPy, Exploratory Data Analysis, Linear Algebra, Statistical Analysis

      Build toward a degree

      3.8
      Rating, 3.8 out of 5 stars
      ·
      22 reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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, Regression Analysis, Data Transformation, Exploratory Data Analysis, Predictive Modeling, Applied Machine Learning, Advanced Analytics, Statistical Modeling, Unsupervised Learning, Bayesian Statistics, Automation, Anomaly Detection, Data Processing, Data Manipulation

      5
      Rating, 5 out of 5 stars
      ·
      10 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      T

      The State University of New York

      Data Analytics in Sports Law and Team Management

      Skills you'll gain: Event Management, Performance Analysis, Facility Operations, Business Analytics, Law, Regulation, and Compliance, Data-Driven Decision-Making, Analytics, Data Management, Data Analysis, Team Performance Management, Team Management, Health Technology, Data Ethics, Trend Analysis, Contract Management, Operations Management, Contract Negotiation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      26 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Cluster Analysis, Association Mining, and Model Evaluation

      Skills you'll gain: Unsupervised Learning, Data Analysis, Regression Analysis, Statistical Analysis, Data Mining, Predictive Modeling, Predictive Analytics, Anomaly Detection, Statistical Modeling, Classification And Regression Tree (CART), Machine Learning, Correlation Analysis, Probability & Statistics, Scatter Plots, Market Analysis, Supervised Learning, AI Personalization, Cross Selling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      47 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Fundamentals of Machine Learning for Supply Chain

      Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Operations Research, NumPy, Data Manipulation, Supply Chain, Data Transformation, Pandas (Python Package), Data Analysis, Data Cleansing, Data Science, Programming Principles, Python Programming, Applied Machine Learning, Plot (Graphics), Computer Programming, Data Structures

      3.7
      Rating, 3.7 out of 5 stars
      ·
      37 reviews

      Beginner · Course · 1 - 4 Weeks

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    1…686970…115

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

    • Kalman Filter Boot Camp (and State Estimation): University of Colorado System
    • Cómo Invertir en Cripto: Universidad Austral
    • Python: de cero a analista de datos: Universidad Nacional Autónoma de México
    • Systèmes d’Information Géographique - Partie 2: École Polytechnique Fédérale de Lausanne
    • Linear Regression Modeling for Health Data: University of Michigan
    • Informed Clinical Decision Making using Deep Learning: University of Glasgow
    • Random Models, Nested and Split-plot Designs: Arizona State University
    • Unsupervised Algorithms in Machine Learning: University of Colorado Boulder
    • Analyzing Time Series and Sequential Data: SAS
    • Data Analytics in Sports Law and Team Management: The State University of New York

    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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