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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: New
      New
      E

      EDUCBA

      Python: Logistic Regression & Supervised ML

      Skills you'll gain: Feature Engineering, Supervised Learning, Exploratory Data Analysis, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Classification And Regression Tree (CART), Statistical Modeling, Pandas (Python Package), NumPy, Data Cleansing, Data Manipulation

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Master of Engineering in Engineering Management

      Skills you'll gain: Object Oriented Design, User Story, Real-Time Operating Systems, New Product Development, Systems Engineering, Field-Programmable Gate Array (FPGA), Sustainable Business, Delegation Skills, Sampling (Statistics), Supplier Management, Failure Analysis, Accountability, Data Ethics, Data Mining, Sustainability Reporting, Statistical Modeling, Database Design, Unsupervised Learning, Proposal Writing, Generative AI

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Colorado Boulder

      Master of Science in Electrical and Computer Engineering

      Skills you'll gain: Object Oriented Design, User Story, Real-Time Operating Systems, New Product Development, Systems Engineering, Field-Programmable Gate Array (FPGA), Sustainable Business, Delegation Skills, Sampling (Statistics), Supplier Management, Failure Analysis, Accountability, Data Ethics, Data Mining, Sustainability Reporting, Statistical Modeling, Database Design, Unsupervised Learning, Proposal Writing, Generative AI

      Earn a degree

      Degree · 1 - 4 Years

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

      Coursera Instructor Network

      Modern Data Analytics with Python, Excel & Generative AI

      Skills you'll gain: Business Intelligence, Excel Macros, Pandas (Python Package), Prompt Engineering, Forecasting, Data Storytelling, Time Series Analysis and Forecasting, Regression Analysis, Data Quality, ChatGPT, Microsoft Excel, Generative AI, Data Analysis, Report Writing, Interactive Data Visualization, Data Modeling, Exploratory Data Analysis, Data Visualization, Statistical Analysis, Automation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      336 reviews

      Intermediate · Specialization · 3 - 6 Months

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

      University of Pittsburgh

      Data Visualization: Fundamentals to Interactive Storytelling

      Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Presentation, Plot (Graphics), Data Visualization Software, Data Visualization, Tableau Software, Spatial Analysis, Visualization (Computer Graphics), Statistical Visualization, Network Model, Dashboard, Matplotlib, Infographics, Heat Maps, Seaborn, Geospatial Information and Technology, Time Series Analysis and Forecasting, Network Analysis, Geospatial Mapping

      Build toward a degree

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      P

      Packt

      Learn Tableau by Working on Exciting Dashboards

      Skills you'll gain: Data Storytelling, Tableau Software, Dashboard, Interactive Data Visualization, Data Visualization Software, Data Analysis, Sales Strategy, Key Performance Indicators (KPIs), Trend Analysis, Data Mapping, Investment Management, Financial Data

      Beginner · Course · 1 - 3 Months

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

      EDUCBA

      AI with Python: Apply & Implement ML Models

      Skills you'll gain: Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Manipulation, Data Cleansing, Jupyter, Feature Engineering, Python Programming, Applied Machine Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Matplotlib, Supervised Learning, Exploratory Data Analysis, Unsupervised Learning, Statistical Analysis

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Speed Up Data Analysis and Presentation Building

      Skills you'll gain: Data Visualization, Data Presentation, Responsible AI, Data Storytelling, Prompt Engineering, Graphing, Data Analysis, Spreadsheet Software

      4.8
      Rating, 4.8 out of 5 stars
      ·
      508 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      E

      EDUCBA

      Credit Default Prediction with Python: Apply & Analyze

      Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Risk Modeling, Classification And Regression Tree (CART), Decision Tree Learning, Credit Risk, Predictive Analytics, Random Forest Algorithm, Data Processing, Feature Engineering, Financial Modeling, Data Manipulation, Data Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Pandas (Python Package), Machine Learning Methods, Supervised Learning, Performance Metric, Performance Tuning

      Mixed · 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
      S

      Stanford University

      Probabilistic Graphical Models

      Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Unstructured Data, Natural Language Processing, Algorithms, Computational Thinking, Test Data

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 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

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    1…222324…117

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

    • Python: Logistic Regression & Supervised ML: EDUCBA
    • Master of Engineering in Engineering Management: University of Colorado Boulder
    • Master of Science in Electrical and Computer Engineering: University of Colorado Boulder
    • Modern Data Analytics with Python, Excel & Generative AI: Coursera Instructor Network
    • Data Visualization: Fundamentals to Interactive Storytelling: University of Pittsburgh
    • Learn Tableau by Working on Exciting Dashboards: Packt
    • AI with Python: Apply & Implement ML Models: EDUCBA
    • Speed Up Data Analysis and Presentation Building: Google
    • Credit Default Prediction with Python: Apply & Analyze: EDUCBA
    • AI for Medical Diagnosis: DeepLearning.AI

    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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