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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
      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: 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: New
      New
      Status: Preview
      Preview
      I

      IE Business School

      Beyond the Obvious: How to Think in the Age of Generative AI

      Skills you'll gain: Critical Thinking, Logical Reasoning, Analytical Skills, Decision Making, Research, Generative AI, Systems Thinking, Cognitive flexibility, Open Mindset, Data Analysis, Lifelong Learning

      Beginner · Course · 1 - 4 Weeks

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

      Packt

      Foundations of Data Science and Machine Learning with Python

      Skills you'll gain: Predictive Modeling, Matplotlib, Seaborn, Statistical Modeling, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, AI Personalization, Feature Engineering, NumPy

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Amsterdam

      Quantitative Methods

      Skills you'll gain: Scientific Methods, Research Design, Sampling (Statistics), Science and Research, Research, Research Methodologies, Surveys, Quantitative Research, Social Sciences, Experimentation, Ethical Standards And Conduct

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

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Algorithms, Deep Learning, Simulations, Feature Engineering, Markov Model, Supervised Learning, Algorithms, Artificial Neural Networks, Performance Testing, Linear Algebra, Performance Tuning, Predictive Modeling, Pseudocode, Probability Distribution

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.6K reviews

      Intermediate · Specialization · 3 - 6 Months

    • 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

    • Status: Preview
      Preview
      S

      Stanford University

      Game Theory II: Advanced Applications

      Skills you'll gain: Game Theory, Bidding, Social Sciences, Resource Allocation, Political Sciences, Economics, Behavioral Economics, Mathematical Theory & Analysis, Probability & Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      650 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      American Psychological Association

      Psychological Research

      Skills you'll gain: Institutional Review Board (IRB), Data Visualization, Descriptive Statistics, Quantitative Research, Plot (Graphics), Data Literacy, Scientific Methods, Graphing, Research Design, Statistical Hypothesis Testing, Probability & Statistics, Research, Statistical Inference, Statistics, Statistical Analysis, Surveys, Sample Size Determination, Ethical Standards And Conduct, Data Analysis, Research and Design

      4.8
      Rating, 4.8 out of 5 stars
      ·
      262 reviews

      Beginner · Specialization · 3 - 6 Months

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

      EDUCBA

      Octave for Machine Learning: Analyze & Visualize

      Skills you'll gain: Text Mining, Statistical Analysis, Data Visualization, Descriptive Statistics, Data Analysis, Computer Programming, Mathematical Software, Data Manipulation, Data Processing, Data Structures, Linear Algebra, Numerical Analysis, Software Installation

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing with Probabilistic Models

      Skills you'll gain: Natural Language Processing, Markov Model, Text Mining, Artificial Neural Networks, Machine Learning Methods, Data Processing, Algorithms, Probability & Statistics, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      G

      Georgia Institute of Technology

      Fundamentals of Engineering Exam Review

      Skills you'll gain: Structural Analysis, Probability & Statistics, Hydraulics, Statistics, Mechanical Engineering, Probability, Engineering, Mechanics, Hydrology, Civil Engineering, Algebra, Advanced Mathematics, Calculus, Differential Equations, Geometry, Trigonometry

      4.7
      Rating, 4.7 out of 5 stars
      ·
      614 reviews

      Mixed · Course · 1 - 3 Months

    Searches related to statistics

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    1…414243…116

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

    • Applied Data Science Capstone: IBM
    • Meaningful Marketing Insights: Emory University
    • Beyond the Obvious: How to Think in the Age of Generative AI: IE Business School
    • Foundations of Data Science and Machine Learning with Python: Packt
    • Quantitative Methods: University of Amsterdam
    • Reinforcement Learning: University of Alberta
    • Machine Learning: Clustering & Retrieval: University of Washington
    • Game Theory II: Advanced Applications: Stanford University
    • Psychological Research: American Psychological Association
    • Octave for Machine Learning: Analyze & Visualize: EDUCBA

    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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