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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.


Popular Statistical Inference Courses and Certifications


  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Clinical Trials Data Management and Quality Assurance

    Skills you'll gain: Clinical Data Management, Data Quality, Quality Assurance, Data Entry, Clinical Trial Management Systems, Case Report Forms, Clinical Trials, Data Cleansing, Data Management, Data Integrity, Data Collection, Data Sharing, Data Security, Patient Treatment, Continuous Monitoring, Statistical Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    175 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    A

    Alberta Machine Intelligence Institute

    Introduction to Generative AI: Concepts and Techniques

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Generative AI, Generative Model Architectures, Large Language Modeling, ChatGPT, OpenAI API, Open Source Technology, Responsible AI, Embeddings, Artificial Intelligence, Data Ethics, Natural Language Processing, Information Privacy

    Mixed · Course · 1 - 4 Weeks

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

    EDUCBA

    Market Research: Analyze, Forecast & Apply

    Skills you'll gain: Market Research, Market Analysis, Marketing, Research Methodologies, Research, Research Design, Quantitative Research, Consumer Behaviour, Market Trend, Surveys, Customer Analysis, Qualitative Research, Forecasting, Price Negotiation, Analysis, Product Testing, Data Collection, Sampling (Statistics)

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Data Engineering, Big Data, and Machine Learning on GCP

    Skills you'll gain: Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Dashboard, Cloud Services, Cloud Deployment, Apache Hadoop, Apache Hive, Application Programming Interface (API), Jupyter, Data Storage, Data Architecture, Data Quality, Analytics, Ad Hoc Analysis, Serverless Computing, Applied Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.4K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Managing Machine Learning Projects with Google Cloud

    Skills you'll gain: Data Ethics, Google Cloud Platform, Applied Machine Learning, Image Analysis, Responsible AI, Machine Learning, Model Evaluation, Data Strategy, Data Governance, AI Enablement, Innovation, Feasibility Studies, Business Analysis, Model Deployment

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.7K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    T

    The Cleveland Clinic Foundation

    Machine Learning in Healthcare: Foundations and Applications

    Skills you'll gain: Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Healthcare Industry Knowledge, Health Informatics, Applied Machine Learning, Clinical Informatics, Health Care, Supervised Learning, Clinical Experience, Emerging Technologies, Artificial Intelligence, Reinforcement Learning, Data-Driven Decision-Making, Data Science

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Linear Regression in R for Public Health

    Skills you'll gain: Correlation Analysis, Regression Analysis, Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, R (Software), Exploratory Data Analysis, Model Evaluation, Statistical Analysis, Probability & Statistics, Biostatistics, Data Import/Export

    4.8
    Rating, 4.8 out of 5 stars
    ·
    527 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Commonwealth Education Trust

    Foundations of Teaching for Learning: Introduction to Student Assessment

    Skills you'll gain: Teaching, Education and Training, Curriculum Planning, Student Engagement, Instructional and Curriculum Design, Surveys, Instructional Strategies, Peer Review, Report Writing, Statistical Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    1.1K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Linear Kalman Filter Deep Dive (and Target Tracking)

    Skills you'll gain: Estimation, Advanced Mathematics, Mathematical Modeling, Matlab, Linear Algebra, Statistical Methods, Predictive Analytics, Predictive Modeling, Applied Mathematics, Time Series Analysis and Forecasting, Probability, Statistical Inference, Probability & Statistics

    Intermediate · Course · 1 - 4 Weeks

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

    Dartmouth College

    Machine Learning with Neural Networks

    Skills you'll gain: Bayesian Network, Artificial Neural Networks, Convolutional Neural Networks, Deep Learning, Tensorflow, Machine Learning, Model Evaluation, Network Architecture, Algorithms, Probability Distribution

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    ANOVA and Experimental Design

    Skills you'll gain: Statistical Hypothesis Testing, Research Design, Statistical Analysis, Data Ethics, Statistical Modeling, Data Science, Data Analysis, Quantitative Research, Regression Analysis, Probability & Statistics, Linear Algebra, Calculus

    Build toward a degree

    4
    Rating, 4 out of 5 stars
    ·
    19 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Data Preprocessing, Deep Learning, Computer Vision, Application Development, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Text Mining, Python Programming, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14K reviews

    Mixed · Course · 1 - 3 Months

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

  • Clinical Trials Data Management and Quality Assurance: Johns Hopkins University
  • Introduction to Generative AI: Concepts and Techniques: Alberta Machine Intelligence Institute
  • Market Research: Analyze, Forecast & Apply: EDUCBA
  • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
  • Managing Machine Learning Projects with Google Cloud: Google Cloud
  • Machine Learning in Healthcare: Foundations and Applications: The Cleveland Clinic Foundation
  • Linear Regression in R for Public Health : Imperial College London
  • Foundations of Teaching for Learning: Introduction to Student Assessment: Commonwealth Education Trust
  • Linear Kalman Filter Deep Dive (and Target Tracking): University of Colorado System
  • Machine Learning with Neural Networks: Dartmouth College

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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