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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
      I

      IBM

      Applied Data Science Capstone

      Skills you'll gain: Plotly, Exploratory Data Analysis, Predictive Modeling, Data Science, Data-Driven Decision-Making, Data Presentation, Data Analysis, Pandas (Python Package), Web Scraping, Statistical Modeling, Data Wrangling, Machine Learning Methods, Data Collection, GitHub

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.4K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      U

      University of Washington

      Computational Neuroscience

      Skills you'll gain: Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Computer Vision, Computer Science, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Biology, Linear Algebra, Information Architecture, Differential Equations, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Virginia

      Digital Product Management: Modern Fundamentals

      Skills you'll gain: New Product Development, Product Management, Innovation, Technical Product Management, Product Improvement, Customer Insights, Design and Product, Product Roadmaps, Design Thinking, Customer Engagement, Agile Methodology, Data-Driven Decision-Making, Web Analytics, Stakeholder Management, Business Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.3K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Big Data

      Skills you'll gain: Apache Spark, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Graph Theory, Data Pipelines, Database Design, Data Modeling, Regression Analysis, Data Mining, Data Management, Applied Machine Learning, Data Presentation, Scalability, Data Processing, Statistical Analysis, NoSQL, Database Management Systems, MongoDB

      4.5
      Rating, 4.5 out of 5 stars
      ·
      14K reviews

      Beginner · Specialization · 3 - 6 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
      D

      Duke University

      Think Again III: How to Reason Inductively

      Skills you'll gain: Deductive Reasoning, Probability, Sampling (Statistics), Sample Size Determination, Correlation Analysis, Case Studies, Scientific Methods

      4.6
      Rating, 4.6 out of 5 stars
      ·
      424 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      Q

      Queen Mary University of London

      Research Methodologies

      Skills you'll gain: Qualitative Research, Research Methodologies, Surveys, Science and Research, Data Collection, Focus Group, Research, Market Research, Research Design, Sample Size Determination, Interviewing Skills, Probability & Statistics, Case Studies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      549 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Sample-based Learning Methods

      Skills you'll gain: Reinforcement Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Predictive Modeling, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Text Mining and Analytics

      Skills you'll gain: Text Mining, Data Mining, Unstructured Data, Statistical Analysis, Natural Language Processing, Analytics, Data Analysis, Statistical Methods, Unsupervised Learning, Probability & Statistics, Supervised Learning, Machine Learning Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      735 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Preview
      Preview
      U

      University of Illinois Urbana-Champaign

      Auditing II: The Practice of Auditing

      Skills you'll gain: Auditing, Internal Controls, Financial Auditing, External Auditing, Generally Accepted Auditing Standards, Fraud detection, Internal Auditing, Audit Planning, Audit Working Papers, Financial Controls, Compliance Auditing, Auditors Report, Verification And Validation, Risk Analysis, Business Risk Management, Risk Management, Probability & Statistics, Financial Reporting, Business Process

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      283 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      C

      Coursera

      Machine Learning with Scikit-learn, PyTorch & Hugging Face

      Skills you'll gain: Generative AI, Supervised Learning, Generative Model Architectures, Unsupervised Learning, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Machine Learning Algorithms, Data Collection, Data Cleansing, OpenAI, Feature Engineering, Data Ethics, Dimensionality Reduction, MLOps (Machine Learning Operations), Machine Learning, Data Processing, Network Architecture

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      EDUCBA

      Linear Regression & Supervised Learning in Python

      Skills you'll gain: Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Correlation Analysis, Machine Learning Methods, Scatter Plots, Statistical Analysis, Data Validation, Data Manipulation, Verification And Validation, Pandas (Python Package), Histogram

      Mixed · Course · 1 - 4 Weeks

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    1…434445…116

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

    • Applied Data Science Capstone: IBM
    • Computational Neuroscience: University of Washington
    • Digital Product Management: Modern Fundamentals: University of Virginia
    • Big Data: University of California San Diego
    • IBM Machine Learning: IBM
    • Think Again III: How to Reason Inductively: Duke University
    • Research Methodologies: Queen Mary University of London
    • Sample-based Learning Methods: University of Alberta
    • Text Mining and Analytics: University of Illinois Urbana-Champaign
    • Auditing II: The Practice of Auditing: University of Illinois Urbana-Champaign

    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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