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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: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Pittsburgh

      Linear Algebra and Regression Fundamentals for Data Science

      Skills you'll gain: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning

      Build toward a degree

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Data Visualization with Tableau

      Skills you'll gain: Dashboard, Data Storytelling, Tableau Software, Data Presentation, Data Visualization, Visual Design, Advanced Analytics, Stakeholder Analysis, Interactive Data Visualization, Data Visualization Software, Design, Data Literacy, Exploratory Data Analysis, Proposal Development, Data Ethics, Data Analysis, Visualization (Computer Graphics), Data Mapping, Pivot Tables And Charts, Storyboarding

      4.5
      Rating, 4.5 out of 5 stars
      ·
      8.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      E

      Emory University

      Meaningful Marketing Insights

      Skills you'll gain: Pivot Tables And Charts, Marketing Analytics, Descriptive Statistics, Microsoft Excel, Customer Insights, Regression Analysis, Data Analysis, Data-Driven Decision-Making, Marketing, Marketing Effectiveness, Exploratory Data Analysis, Consumer Behaviour, Statistical Analysis, Data Manipulation

      4.3
      Rating, 4.3 out of 5 stars
      ·
      287 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Regression Analysis, Dimensionality Reduction, Reinforcement Learning, Generative Model Architectures, Deep Learning, Data Analysis, Statistical Methods, Statistical Inference, Applied Machine Learning, Predictive Modeling, Statistical Hypothesis Testing, Data Processing, Machine Learning Algorithms, Machine Learning, Data Science, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.3K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Capstone: Retrieving, Processing, and Visualizing Data with Python

      Skills you'll gain: Data Processing, Data Visualization, Data Cleansing, Data Collection, Data Visualization Software, Data Manipulation, Python Programming, Exploratory Data Analysis, Algorithms, Data Analysis, Web Scraping, Database Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      14K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      U

      University of Illinois Urbana-Champaign

      Understanding the Healthcare Innovation Process II

      Skills you'll gain: Lean Six Sigma, Performance Improvement, Statistical Process Controls, Operational Analysis, Process Improvement, Quality Improvement, Health Informatics, Statistical Methods, Continuous Improvement Process, Innovation, Telehealth, Operations Management, Medical Devices, Probability & Statistics, Problem Solving

      Build toward a degree

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Introduction to Spreadsheets and Models

      Skills you'll gain: Regression Analysis, Spreadsheet Software, Google Sheets, Financial Modeling, Microsoft Excel, Data Modeling, Forecasting, Risk Analysis, Probability & Statistics, Business Modeling, Statistical Analysis, Simulation and Simulation Software, Process Improvement and Optimization

      4.2
      Rating, 4.2 out of 5 stars
      ·
      3.9K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Data Science Fundamentals Part 1: Unit 3

      Skills you'll gain: Data Validation, Extract, Transform, Load, Object-Relational Mapping, Data Cleansing, Data Manipulation, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Database Management, Data Transformation, Data Integrity, Relational Databases, Exploratory Data Analysis, Databases, Data Processing, SQL, Data Analysis, Data Storage Technologies

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Geographic Information Systems (GIS)

      Skills you'll gain: ArcGIS, GIS Software, Spatial Analysis, Data Storytelling, Spatial Data Analysis, Geographic Information Systems, Data Presentation, Geospatial Mapping, Public Health and Disease Prevention, Public Health, Land Management, Geospatial Information and Technology, Heat Maps, Data Sharing, Epidemiology, Community Health, Metadata Management, Data Visualization Software, Data Quality, Network Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Positive Psychology: Character, Grit and Research Methods

      Skills you'll gain: Research Methodologies, Research Design, Qualitative Research, Critical Thinking, Persistence, Program Evaluation, Case Studies, Tenacity, Psychological Evaluations, Surveys, Data Collection, Reliability, Descriptive Statistics, Interviewing Skills

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      AI for Medical Diagnosis

      Skills you'll gain: Image Analysis, Diagnostic Radiology, Predictive Modeling, Data Processing, Artificial Intelligence, Tensorflow, Applied Machine Learning, Medical Imaging, Keras (Neural Network Library), Computer Vision, Deep Learning, Natural Language Processing, Machine Learning, Artificial Neural Networks, Magnetic Resonance Imaging, Probability & Statistics, X-Ray Computed Tomography

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning: Clustering & Retrieval

      Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Big Data, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Sampling (Statistics), Scalability, Probability Distribution, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Mixed · Course · 1 - 3 Months

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    1…404142…116

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

    • Linear Algebra and Regression Fundamentals for Data Science: University of Pittsburgh
    • Data Visualization with Tableau: University of California, Davis
    • Meaningful Marketing Insights: Emory University
    • IBM Machine Learning: IBM
    • Capstone: Retrieving, Processing, and Visualizing Data with Python: University of Michigan
    • Understanding the Healthcare Innovation Process II: University of Illinois Urbana-Champaign
    • Introduction to Spreadsheets and Models: University of Pennsylvania
    • Data Science Fundamentals Part 1: Unit 3: Pearson
    • Geographic Information Systems (GIS): University of California, Davis
    • Positive Psychology: Character, Grit and Research Methods: University of Pennsylvania

    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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