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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
      U

      University of Michigan

      Data Analytics in the Public Sector with R

      Skills you'll gain: Data Visualization, Exploratory Data Analysis, Plot (Graphics), Statistical Analysis, Data Presentation, Ggplot2, Program Evaluation, Policy Analysis, Surveys, Data Ethics, R (Software), Data Analysis, Tidyverse (R Package), Statistical Visualization, R Programming, Statistical Methods, Public Policies, Data Visualization Software, Analytical Skills, Case Studies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      82 reviews

      Intermediate · Specialization · 3 - 6 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
      ·
      249 reviews

      Intermediate · 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
      ·
      167 reviews

      Intermediate · Course · 1 - 3 Months

    • 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
      N

      New York Institute of Finance

      Reinforcement Learning for Trading Strategies

      Skills you'll gain: Reinforcement Learning, Financial Trading, Deep Learning, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Markov Model, Machine Learning, Financial Market, Time Series Analysis and Forecasting

      3.5
      Rating, 3.5 out of 5 stars
      ·
      243 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      Q

      Queen Mary University of London

      Research Instruments and Research Hypotheses

      Skills you'll gain: Research Reports, Statistical Hypothesis Testing, Survey Creation, Research Design, Statistical Analysis, Data Processing, Data Collection, Quantitative Research, Statistics, Data Analysis, Data Validation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      22 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Predictive Modeling and Analytics

      Skills you'll gain: Predictive Modeling, Predictive Analytics, Exploratory Data Analysis, Data Visualization, Business Analytics, Data Analysis, Statistical Modeling, Data-Driven Decision-Making, Regression Analysis, Microsoft Excel, Machine Learning Methods, Decision Tree Learning, Data Cleansing, Artificial Neural Networks

      3.6
      Rating, 3.6 out of 5 stars
      ·
      602 reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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
      ·
      220 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Trees, SVM and Unsupervised Learning

      Skills you'll gain: Applied Machine Learning, Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Random Forest Algorithm, Machine Learning, Predictive Modeling, Dimensionality Reduction, Feature Engineering, Statistics

      4.4
      Rating, 4.4 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Machine Learning for Supply Chains

      Skills you'll gain: Image Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Wrangling, Operations Research, NumPy, Demand Planning, Data Manipulation, Feature Engineering, Supervised Learning, Inventory Management System, Supply Chain, Applied Machine Learning, Machine Learning Methods, Inventory Management, Trend Analysis, Data Visualization, Machine Learning, Data Science, Data Analysis

      3.5
      Rating, 3.5 out of 5 stars
      ·
      79 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      N

      New York University

      Machine Learning and Reinforcement Learning in Finance

      Skills you'll gain: Supervised Learning, Reinforcement Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Artificial Neural Networks, Decision Tree Learning, Predictive Modeling, Financial Trading, Financial Market, Derivatives, Scikit Learn (Machine Learning Library), Markov Model, Regression Analysis, Market Dynamics, Risk Modeling, Tensorflow, Financial Modeling

      3.7
      Rating, 3.7 out of 5 stars
      ·
      816 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Generalized Linear Models and Nonparametric Regression

      Skills you'll gain: Statistical Modeling, R Programming, Data Analysis, Data Ethics, Statistical Methods, Regression Analysis, Predictive Modeling, Machine Learning, Classification And Regression Tree (CART), Statistical Inference, Probability Distribution, Linear Algebra, Calculus

      Build toward a degree

      4.3
      Rating, 4.3 out of 5 stars
      ·
      20 reviews

      Intermediate · Course · 1 - 4 Weeks

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    1…232425…115

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

    • Data Analytics in the Public Sector with R: University of Michigan
    • Relational Database Administration (DBA): IBM
    • Foundations of AI and Machine Learning: Microsoft
    • Operational Risk Management: Frameworks & Strategies: New York Institute of Finance
    • Reinforcement Learning for Trading Strategies: New York Institute of Finance
    • Research Instruments and Research Hypotheses: Queen Mary University of London
    • Predictive Modeling and Analytics : University of Colorado Boulder
    • Microsoft AI & ML Engineering: Microsoft
    • Trees, SVM and Unsupervised Learning: University of Colorado Boulder
    • Machine Learning for Supply Chains: LearnQuest

    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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