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  • Statistical Inference

Statistical Inference Courses

Statistical inference courses can help you learn hypothesis testing, confidence intervals, regression analysis, and data interpretation. You can build skills in analyzing sample data, making predictions, and drawing conclusions about larger populations. Many courses introduce tools like R and Python for statistical programming, as well as software for data visualization, which enhance your ability to apply statistical methods effectively.


More to explore:

Popular Statistical Inference Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud

    Skills you'll gain: Big Data, Apache Spark, Apache Hadoop, Apache Mahout, Distributed Computing, Data Storage, Data Processing, NoSQL, Apache Kafka, Cloud Computing, Real Time Data, Databases, Analytics, Deep Learning, Scalability, Machine Learning Algorithms, Graph Theory, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    342 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Data Visualization Best Practices

    Skills you'll gain: Data Visualization Software, Statistical Visualization, Data Presentation, Plot (Graphics), Data Storytelling, Tableau Software, Exploratory Data Analysis, Descriptive Statistics, Data Analysis, Descriptive Analytics, Histogram

    3.9
    Rating, 3.9 out of 5 stars
    ·
    20 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Follow a Machine Learning Workflow

    Skills you'll gain: Data Preprocessing, Data Analysis, Data Collection, AI Workflows, Statistical Analysis, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Cleansing, Applied Machine Learning, Predictive Modeling, Machine Learning, Model Evaluation, Descriptive Statistics, Feature Engineering, Machine Learning Algorithms, Process Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    19 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Building Data Visualization Tools

    Skills you'll gain: Ggplot2, Data Visualization Software, Data Visualization, Datamaps, Visualization (Computer Graphics), Interactive Data Visualization, Scatter Plots, Histogram, Graphic and Visual Design, R Programming, Geospatial Information and Technology, Geospatial Mapping

    3.9
    Rating, 3.9 out of 5 stars
    ·
    158 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Project Planning and Machine Learning

    Skills you'll gain: Machine Learning Algorithms, Big Data, Product Development, Data Preprocessing, Analytics, File Systems, New Product Development, Data Analysis, Machine Learning, Internet Of Things, Supervised Learning, Product Planning, Unsupervised Learning, Data Storage, Project Planning, Systems Of Measurement, Staff Management

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    132 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 1

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Model Evaluation, Random Forest Algorithm, Responsible AI, Data Import/Export, Machine Learning, Classification Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    65 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Use Tableau for Your Data Science Workflow

    Skills you'll gain: Data Storytelling, Dashboard, Data Presentation, Data Visualization Software, Interactive Data Visualization, Statistical Visualization, Plot (Graphics), Tableau Software, Data Ethics, Exploratory Data Analysis, Scatter Plots, Descriptive Statistics, Heat Maps, Data Analysis, Descriptive Analytics, Geospatial Information and Technology, Histogram, Analytical Skills, Application Deployment, Network Analysis

    3.9
    Rating, 3.9 out of 5 stars
    ·
    30 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    U

    University of Cambridge

    Forensic Science: DNA Analysis

    Skills you'll gain: Criminal Investigation and Forensics, Investigation, Laboratory Testing, Statistical Analysis, Molecular Biology, Specimen Collection, Scientific Methods, Medical Science and Research, General Science and Research, Data Collection, Case Studies, Biology, Ethical Standards And Conduct

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 3 Months

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

    Coursera

    Foundations of Machine Learning

    Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting, Decision Tree Learning, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Pillar #2: Drug Utilization - Drivers and Consequences

    Skills you'll gain: Medication Therapy Management, Pharmacotherapy, Pharmacology, Medical Prescription, Patient Education And Counseling, Pharmaceuticals, Value-Based Care, Utilization Management, Health Policy, Clinical Research, Patient Safety, Research Design, Epidemiology, Statistical Analysis

    4.1
    Rating, 4.1 out of 5 stars
    ·
    7 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Build a Machine Learning Web App with Streamlit and Python

    Skills you'll gain: Machine Learning Algorithms, Data Visualization, Dashboard, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Data Science, Python Programming, Pandas (Python Package)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    414 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Essentials of Sensory Science

    Skills you'll gain: Experimentation, Product Testing, Laboratory Testing, Laboratory Experience, Food and Beverage, Consumer Behaviour, Scientific Methods, Systems Of Measurement, Case Studies, Quality Assurance, Physiology, Research Design, Usability Testing, Science and Research, Data Collection, Statistical Analysis, Nutrition and Diet, Human Factors, Anatomy, Product Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    68 reviews

    Beginner · Specialization · 3 - 6 Months

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In summary, here are 10 of our most popular statistical inference courses

  • Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud: University of Illinois Urbana-Champaign
  • Data Visualization Best Practices: University of California, Irvine
  • Follow a Machine Learning Workflow: CertNexus
  • Building Data Visualization Tools: Johns Hopkins University
  • Project Planning and Machine Learning: University of Colorado Boulder
  • Interpretable Machine Learning Applications: Part 1: Coursera
  • Use Tableau for Your Data Science Workflow: University of California, Irvine
  • Forensic Science: DNA Analysis: University of Cambridge
  • Foundations of Machine Learning: Coursera
  • Pillar #2: Drug Utilization - Drivers and Consequences: Johns Hopkins University

Skills you can learn in Probability And Statistics

R Programming (19)
Inference (16)
Linear Regression (12)
Statistical Analysis (12)
Statistical Inference (11)
Regression Analysis (10)
Biostatistics (9)
Bayesian (7)
Logistic Regression (7)
Probability Distribution (7)
Bayesian Statistics (6)
Medical Statistics (6)

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