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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 Michigan

      Measuring Total Data Quality

      Skills you'll gain: Data Quality, Data Processing, Data Access, Data Validation, Data Collection, Data Governance, Data Analysis, Statistical Analysis, Sampling (Statistics)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      D

      Duke University

      Inferenzstatistik

      Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Statistical Reporting, Statistical Analysis, Data Analysis, Probability & Statistics, Statistical Methods, Data Analysis Software, Statistical Software, R Programming, Sampling (Statistics), Probability Distribution, Software Installation

      Beginner · Course · 1 - 3 Months

    • E

      EIT Digital

      Geometric Algorithms

      Skills you'll gain: Geometry, Algorithms, Data Structures, Spatial Analysis, Computational Thinking, Graph Theory, Theoretical Computer Science, Computer Graphics, Applied Mathematics

      4.4
      Rating, 4.4 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Interventions and Calibration

      Skills you'll gain: Mathematical Modeling, Simulations, Epidemiology, Statistical Modeling, Infectious Diseases, R Programming, Public Health, Data Validation, Probability & Statistics, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      56 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Machine Learning with TensorFlow on Google Cloud em Português Brasileiro

      Skills you'll gain: Feature Engineering, Tensorflow, Exploratory Data Analysis, Google Cloud Platform, Keras (Neural Network Library), Data Quality, Data Cleansing, Data Strategy, Machine Learning, Applied Machine Learning, Unsupervised Learning, Dataflow, Data Processing, MLOps (Machine Learning Operations), Data Ethics, Data Pipelines, Artificial Neural Networks, Deep Learning, Supervised Learning, Big Data

      4.7
      Rating, 4.7 out of 5 stars
      ·
      92 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      R

      Radio y Televisión Española

      Competencias y habilidades esenciales en el entorno digital

      Skills you'll gain: Social Media Content, Social Media Strategy, Live Streaming, Photo/Video Production and Technology, Image Analysis, Social Media Management, Video Production, Content Strategy, Media and Communications, Content Creation, Journalism, Network Analysis, Mobile Development Tools, Research, Digital Communications, Information Architecture, Education Software and Technology, Investigation, Trend Analysis, Verification And Validation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      69 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Databricks to Local LLMs

      Skills you'll gain: Databricks, Generative AI, Extract, Transform, Load, Jupyter, Exploratory Data Analysis, Data Lakes, Data Transformation, Data Ethics, Data Pipelines, Apache Spark, Data Science, Large Language Modeling, Prompt Engineering, MLOps (Machine Learning Operations), Machine Learning

      4.1
      Rating, 4.1 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      P

      Pontificia Universidad Católica de Chile

      Procesamiento de Imágenes

      Skills you'll gain: Image Analysis, Data Processing, Computer Vision, Algorithms, Python Programming, NumPy, Linear Algebra, Probability & Statistics

      4.3
      Rating, 4.3 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Analysis with Python

      Skills you'll gain: Regression Analysis, Unsupervised Learning, Supervised Learning, Classification And Regression Tree (CART), Feature Engineering, Anomaly Detection, Dimensionality Reduction, Applied Machine Learning, Data Analysis, Data Processing, Data Mining, Statistical Analysis, Machine Learning Algorithms, Machine Learning, Statistical Modeling, Data Validation, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Science, Exploratory Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      28 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Preview
      Preview
      C

      Columbia University

      Causal Inference 2

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

      3.4
      Rating, 3.4 out of 5 stars
      ·
      14 reviews

      Advanced · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Data Visualization using Plotly

      Skills you'll gain: Plotly, Exploratory Data Analysis, Scatter Plots, Data Visualization, Data Visualization Software, Interactive Data Visualization, Python Programming

      3.9
      Rating, 3.9 out of 5 stars
      ·
      47 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • 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

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    1…747576…110

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

    • Measuring Total Data Quality: University of Michigan
    • Inferenzstatistik: Duke University
    • Geometric Algorithms: EIT Digital
    • Interventions and Calibration: Imperial College London
    • Machine Learning with TensorFlow on Google Cloud em Português Brasileiro: Google Cloud
    • Competencias y habilidades esenciales en el entorno digital: Radio y Televisión Española
    • Databricks to Local LLMs: Duke University
    • Procesamiento de Imágenes: Pontificia Universidad Católica de Chile
    • Data Analysis with Python: University of Colorado Boulder
    • Causal Inference 2: Columbia 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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