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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
      J

      Johns Hopkins University

      Advanced Linear Models for Data Science 1: Least Squares

      Skills you'll gain: Linear Algebra, Regression Analysis, Mathematical Modeling, R Programming, Data Science, Advanced Mathematics, Applied Mathematics, Statistical Modeling, Statistics, Derivatives

      4.5
      Rating, 4.5 out of 5 stars
      ·
      187 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 3: Learning

      Skills you'll gain: Bayesian Network, Statistical Machine Learning, Unsupervised Learning, Supervised Learning, Machine Learning, Markov Model, Statistical Modeling, Statistical Methods, Graph Theory, Probability & Statistics, Probability Distribution, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      303 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Trees and Graphs: Basics

      Skills you'll gain: Graph Theory, Data Structures, Algorithms, Theoretical Computer Science, Computational Thinking, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      170 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Advanced Algorithms and Complexity

      Skills you'll gain: Algorithms, Network Model, Advanced Mathematics, Graph Theory, Theoretical Computer Science, Operations Research, Network Analysis, Data Structures, Linear Algebra, Computational Thinking, Computer Science, Big Data, Python Programming, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      695 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Preview
      Preview
      S

      Stanford University

      Social and Economic Networks: Models and Analysis

      Skills you'll gain: Network Analysis, Game Theory, Mathematical Modeling, Social Sciences, Statistical Modeling, Markov Model, Probability, Bayesian Statistics, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      754 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Geospatial Techniques for Engineers

      Skills you'll gain: Geospatial Information and Technology, Spatial Analysis, GIS Software, Spatial Data Analysis, Geographic Information Systems, Geospatial Mapping, Database Management, Relational Databases, Construction, Construction Management, Building Information Modeling, Global Positioning Systems, Open Source Technology, Data Mapping, Image Analysis, Civil Engineering, Network Analysis, Survey Creation, Web Applications, SQL

      4.2
      Rating, 4.2 out of 5 stars
      ·
      41 reviews

      Advanced · Specialization · 3 - 6 Months

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

      University of Michigan

      More Applied Data Science with Python

      Skills you'll gain: Data Mining, Unsupervised Learning, Data Science, Applied Machine Learning, Systems Analysis, Machine Learning, Data Modeling, Data Analysis, Data Manipulation, Python Programming, Machine Learning Methods, Statistical Analysis, Data Visualization, Analytical Skills, Exploratory Data Analysis, Data Pipelines, Time Series Analysis and Forecasting, Jupyter, Machine Learning Algorithms

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      C

      Corporate Finance Institute

      Advanced Tableau

      Skills you'll gain: Tableau Software, Data Modeling, Technical Analysis, Star Schema, Extract, Transform, Load, Dashboard, Market Data, Business Intelligence, Exploratory Data Analysis, Data Warehousing, Interactive Data Visualization, Data Visualization Software, Data Integration, Business Metrics, Data Presentation, Data Transformation, Tree Maps, Data Analysis, Analysis, Data Visualization

      4.5
      Rating, 4.5 out of 5 stars
      ·
      19 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      C

      Corporate Finance Institute

      Practical Data Science for Data Analysts

      Skills you'll gain: Feature Engineering, Regression Analysis, Exploratory Data Analysis, Data Science, Data Transformation, Matplotlib, Business Analytics, Data Analysis, Data-Driven Decision-Making, Data Modeling, Machine Learning Algorithms, Data Import/Export, Business Intelligence, Data Manipulation, Pandas (Python Package), Statistical Modeling, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Predictive Analytics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      16 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      MLOps | Machine Learning Operations

      Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Cloud Technologies, Microsoft Azure, Data Ethics, Data Pipelines, Pandas (Python Package), Exploratory Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), Docker (Software), CI/CD, Data Manipulation, Cloud Computing, Machine Learning, DevOps, Python Programming, GitHub, Big Data, Data Management, Data Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      488 reviews

      Advanced · Specialization · 3 - 6 Months

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

      University of Michigan

      Applied Unsupervised Learning in Python

      Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Statistical Analysis, Data Visualization, Python Programming, Exploratory Data Analysis

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Enterprise Workflow

      Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Unsupervised Learning, Data Ethics, Apache Spark, Data Pipelines, Probability Distribution, PySpark, Data Processing, Data Cleansing, MLOps (Machine Learning Operations), Data Storytelling, Data Visualization Software, Supervised Learning, Business Process, Unit Testing, Applied Machine Learning, Data Science, Machine Learning, Python Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      327 reviews

      Advanced · Specialization · 3 - 6 Months

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    12345

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

    • Advanced Linear Models for Data Science 1: Least Squares: Johns Hopkins University
    • Probabilistic Graphical Models 3: Learning: Stanford University
    • Trees and Graphs: Basics: University of Colorado Boulder
    • Advanced Algorithms and Complexity: University of California San Diego
    • Social and Economic Networks: Models and Analysis: Stanford University
    • Geospatial Techniques for Engineers: L&T EduTech
    • More Applied Data Science with Python: University of Michigan
    • Advanced Tableau: Corporate Finance Institute
    • Practical Data Science for Data Analysts: Corporate Finance Institute
    • MLOps | Machine Learning Operations: Duke 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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