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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: Preview
      Preview
      K

      King Abdullah University of Science and Technology

      Fundamental Skills in Bioinformatics

      Skills you'll gain: Statistical Analysis, Bioinformatics, Unix, Scientific Visualization, R Programming, Rmarkdown, Unix Commands, Data Analysis, Data Quality, Statistical Hypothesis Testing, Exploratory Data Analysis, Pandas (Python Package), Python Programming, NumPy, Data Manipulation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      62 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      N

      New York Institute of Finance

      Operational Risk Management: Frameworks & Strategies

      Skills you'll gain: Operational Risk, Risk Management Framework, Risk Management, Business Risk Management, Enterprise Risk Management (ERM), Risk Appetite, Risk Control, Governance, Risk Analysis, Key Performance Indicators (KPIs), Business Process, Regulatory Requirements, Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      386 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Foundations of AI and Machine Learning

      Skills you'll gain: Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, MLOps (Machine Learning Operations), Application Deployment, Data Processing, Data Cleansing, Artificial Intelligence, Data Security, Application Frameworks, PyTorch (Machine Learning Library), Machine Learning, Tensorflow, Applied Machine Learning, Data Pipelines, Scalability

      4.5
      Rating, 4.5 out of 5 stars
      ·
      166 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Relational Database Administration (DBA)

      Skills you'll gain: Database Administration, Database Management, Database Architecture and Administration, Relational Databases, Operational Databases, Database Systems, IBM DB2, MySQL, Performance Tuning, PostgreSQL, Disaster Recovery, Data Storage Technologies, Database Design, System Monitoring, Role-Based Access Control (RBAC), User Accounts, Encryption

      4.5
      Rating, 4.5 out of 5 stars
      ·
      248 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Deep Learning and Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Generative Model Architectures, Deep Learning, Unsupervised Learning, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning Algorithms, Machine Learning, Artificial Intelligence, Computer Vision, Applied Machine Learning, Dimensionality Reduction, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      264 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      The Nuts and Bolts of Machine Learning

      Skills you'll gain: Feature Engineering, Applied Machine Learning, Advanced Analytics, Machine Learning, Unsupervised Learning, Workflow Management, Data Ethics, Supervised Learning, Data Validation, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Python Programming, Performance Tuning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      558 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft AI & ML Engineering

      Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, LLM Application, Responsible AI, Generative AI Agents, Applied Machine Learning, Reinforcement Learning, Data Ethics, Prompt Engineering, Data Processing, Application Deployment

      4.5
      Rating, 4.5 out of 5 stars
      ·
      219 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      N

      New York Institute of Finance

      Using Machine Learning in Trading and Finance

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Financial Trading, Data Pipelines, Applied Machine Learning, Technical Analysis, Machine Learning, Securities Trading, Market Trend, Financial Market, Deep Learning, Python Programming, Predictive Modeling, Performance Metric

      3.9
      Rating, 3.9 out of 5 stars
      ·
      375 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      K

      Kennesaw State University

      DFSS for the 6 σ Black Belt

      Skills you'll gain: Process Improvement, Six Sigma Methodology, Lean Six Sigma, Knowledge Transfer, Continuous Improvement Process, Lean Manufacturing, Quality Management, Product Design, Statistical Methods, Design and Product, Probability & Statistics

      4.3
      Rating, 4.3 out of 5 stars
      ·
      38 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      ChatGPT + Excel: Master Data, Make Decisions, Tell Stories

      Skills you'll gain: Data Storytelling, Microsoft Excel, Data Visualization, Data Analysis, Data Cleansing, ChatGPT, Data Integration, Data Transformation, Data Validation, Exploratory Data Analysis, Prompt Engineering, LLM Application, Data Quality, Generative AI

      4.8
      Rating, 4.8 out of 5 stars
      ·
      109 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Variable Selection, Model Validation, Nonlinear Regression

      Skills you'll gain: Statistical Inference, Regression Analysis, R Programming, Statistical Analysis, Statistical Modeling, Predictive Modeling, Advanced Analytics, Mathematical Modeling, Probability & Statistics, Data Validation, Statistical Hypothesis Testing, Probability

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      K

      Kennesaw State University

      The Define Phase for the 6 σ Black Belt

      Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Analytical Skills, Process Improvement, Project Documentation, Quality Improvement, Customer Analysis, Continuous Quality Improvement (CQI), Project Management, Business Process, Project Planning, Stakeholder Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      106 reviews

      Mixed · Course · 1 - 3 Months

    Searches related to statistics

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    1…232425…115

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

    • Fundamental Skills in Bioinformatics: King Abdullah University of Science and Technology
    • Operational Risk Management: Frameworks & Strategies: New York Institute of Finance
    • Foundations of AI and Machine Learning: Microsoft
    • Relational Database Administration (DBA): IBM
    • Deep Learning and Reinforcement Learning: IBM
    • The Nuts and Bolts of Machine Learning: Google
    • Microsoft AI & ML Engineering: Microsoft
    • Using Machine Learning in Trading and Finance: New York Institute of Finance
    • DFSS for the 6 σ Black Belt: Kennesaw State University
    • ChatGPT + Excel: Master Data, Make Decisions, Tell Stories: Vanderbilt 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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