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Statistics Courses

Statistics courses can help you learn data analysis, probability theory, hypothesis testing, and regression techniques. You can build skills in interpreting data sets, making informed predictions, and conducting surveys. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing results. You'll also explore key topics such as descriptive statistics, inferential statistics, and experimental design, equipping you with the knowledge to tackle real-world data challenges.


Popular Statistics Courses and Certifications


  • 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), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Simulations, Feature Engineering, Markov Model, Supervised Learning, Algorithms, Model Evaluation, Artificial Neural Networks, Performance Testing, Performance Tuning, Pseudocode, Linear Algebra, Probability Distribution

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

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Statistical Methods for Computer Science

    Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Bayesian Network, Statistical Hypothesis Testing, Statistical Programming, Data Analysis, R (Software), Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Statistical Methods, Social Network Analysis, Applied Mathematics, Simulations, Data Science, Markov Model

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    C

    Coursera

    Evaluate LLMs: Test and Prove Significance

    Skills you'll gain: Statistical Visualization, Model Evaluation, Data Presentation, Statistical Hypothesis Testing, Statistical Analysis, Data Storytelling, Large Language Modeling, Statistical Methods, Data-Driven Decision-Making, Matplotlib, Statistical Inference, Jupyter, Probability & Statistics, Experimentation, Performance Metric

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Excel Functions and Formulas

    Skills you'll gain: Excel Formulas, Microsoft Excel, Spreadsheet Software, Pivot Tables And Charts, Statistical Analysis, Data Manipulation, Descriptive Statistics, Data Analysis, Data Cleansing, Data Presentation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    K

    Kennesaw State University

    Six Sigma Yellow Belt

    Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Root Cause Analysis, Lean Methodologies, Process Improvement, Data Collection, Quality Improvement, Process Optimization, Correlation Analysis, Statistical Hypothesis Testing, Kaizen Methodology, Process Analysis, Probability Distribution, Regression Analysis, Business Process, Statistical Process Controls, Quality Management, Team Management, Continuous Improvement Process, Project Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.2K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Machine Learning Fundamentals

    Skills you'll gain: Supervised Learning, Predictive Modeling, Logistic Regression, Statistical Modeling, Model Evaluation, Machine Learning, Machine Learning Algorithms, Classification Algorithms, Regression Analysis, Probability & Statistics, Linear Algebra

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    SAS

    SAS Machine Learning Engineer

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Supervised Learning, Decision Tree Learning, Probability & Statistics, Statistics, Machine Learning Software, Classification And Regression Tree (CART), Workflow Management, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Applied Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    103 reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    Universidad Austral

    Marketing Digital

    Skills you'll gain: Social Media, Social Media Strategy, Social Media Marketing, Google Ads, Digital Marketing, Customer Relationship Management, Content Performance Analysis, Media Buying, Social Media Campaigns, Marketing Analytics, Campaign Management, LinkedIn, Facebook, Web Analytics, Digital Media Strategy, Pay Per Click Advertising, Marketing Strategies, Marketing, Paid media, Analytics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    C

    Coursera

    Improve Accuracy with ML Ensemble Methods

    Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Data Preprocessing, Applied Machine Learning, Jupyter, Classification Algorithms, Java, Sampling (Statistics), Feature Engineering, Model Evaluation, Supervised Learning, Predictive Modeling, Machine Learning, Learning Styles, Program Evaluation, Program Implementation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    GIS, Mapping, and Spatial Analysis

    Skills you'll gain: ArcGIS, Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, GIS Software, Data Mapping, Geospatial Information and Technology, Data Visualization, Metadata Management, Query Languages, Global Positioning Systems, Quantitative Research, Data Compilation, Typography, Data Manipulation, Data Storytelling, Data Modeling, Design Elements And Principles, Image Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    Y

    Yale University

    Understanding Medical Research: Your Facebook Friend is Wrong

    Skills you'll gain: Research Design, Medical Science and Research, Statistical Methods, Descriptive Statistics, Data Literacy, Scientific Methods, Clinical Research, Research, Biostatistics, Data Collection, Sampling (Statistics), Medical Terminology, Correlation Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    2.2K reviews

    Beginner · Course · 1 - 3 Months

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

    Coursera

    Automate, Analyze, and AI Feedback

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Sampling (Statistics), Statistical Methods, Model Deployment, Statistical Modeling, Human Machine Interfaces, Performance Metric, Performance Analysis, Applied Machine Learning, Anomaly Detection, Predictive Analytics

    Intermediate · Course · 1 - 4 Weeks

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

  • Reinforcement Learning: University of Alberta
  • Statistical Methods for Computer Science: Johns Hopkins University
  • Evaluate LLMs: Test and Prove Significance: Coursera
  • Excel Functions and Formulas: Packt
  • Six Sigma Yellow Belt: Kennesaw State University
  • Machine Learning Fundamentals: Dartmouth College
  • SAS Machine Learning Engineer: SAS
  • Marketing Digital: Universidad Austral
  • Improve Accuracy with ML Ensemble Methods: Coursera
  • GIS, Mapping, and Spatial Analysis: University of Toronto

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