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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


  • G

    Google Cloud

    Vertex Pipelines: Qwik Start

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Applied Machine Learning, Data Pipelines, Tensorflow, Machine Learning

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Open Source LLMOps Solutions

    Skills you'll gain: LLM Application, Hugging Face, Large Language Modeling, Natural Language Processing, Model Deployment, Open Source Technology, Prompt Engineering, Containerization, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    25 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    Universidad Nacional de Colombia

    Sistemas difusos

    Skills you'll gain: Mathematical Modeling, Machine Learning, Applied Mathematics, System Design and Implementation, Software Development Tools, Programming Principles, Logical Reasoning, Arithmetic, Algorithms

    5
    Rating, 5 out of 5 stars
    ·
    47 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Graduate Admission Prediction with Pyspark ML

    Skills you'll gain: Data Cleansing, PySpark, Data Manipulation, Data Preprocessing, Apache Spark, Google Cloud Platform, Data Analysis, Applied Machine Learning, Predictive Modeling, Big Data, Machine Learning, Regression Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    34 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Hyperparameter Tuning with Keras Tuner

    Skills you'll gain: Keras (Neural Network Library), Artificial Neural Networks, Applied Machine Learning, Deep Learning, Python Programming, Performance Tuning, Machine Learning Algorithms, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    70 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Image Analysis, Machine Learning, Computer Vision, Model Evaluation, Supervised Learning, Algorithms, Statistical Methods, Linear Algebra, Probability

    4.4
    Rating, 4.4 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Data Science at Scale - Capstone Project

    Skills you'll gain: Feature Engineering, Model Evaluation, Data Analysis, Predictive Modeling, Data Wrangling, Statistical Modeling, Statistics, Data Science, Data Preprocessing, Predictive Analytics, Data Integration, Data Collection, Applied Machine Learning, R Programming, Research, Data Validation, Python Programming

    3.8
    Rating, 3.8 out of 5 stars
    ·
    25 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    K

    Korea Advanced Institute of Science and Technology(KAIST)

    AI Materials

    Skills you'll gain: AI Enablement, Artificial Intelligence, Materials science, Artificial Neural Networks, Image Analysis, Computer Vision, Manufacturing Processes, Machine Learning, Process Control

    4.7
    Rating, 4.7 out of 5 stars
    ·
    47 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SkillUp

    The DMAIC Framework - Define and Measure Phase

    Skills you'll gain: Process Capability, Statistical Analysis, Data Analysis, Project Management, Six Sigma Methodology, Statistics, Work Breakdown Structure, Lean Six Sigma, Process Analysis, Data Collection, Project Scoping, Performance Measurement, Customer experience improvement, Quality Improvement, Quality Control

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    E

    Emory University

    Reproducible Templates for Analysis and Dissemination

    Skills you'll gain: Rmarkdown, Knitr, Collaborative Software, Technical Documentation, Document Management, Technical Writing, Data Sharing, R Programming, YAML, Hypertext Markup Language (HTML), File Management, Cascading Style Sheets (CSS), Version Control

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    GenAI For Business Analysis: Fine-Tuning LLMs

    Skills you'll gain: Model Evaluation, OpenAI API, Data Preprocessing, OpenAI, Large Language Modeling, Real Time Data, Data Manipulation, Generative AI, Python Programming, Unstructured Data, Performance Metric, Machine Learning, JSON

    4.4
    Rating, 4.4 out of 5 stars
    ·
    11 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Healthcare Marketplace Capstone

    Skills you'll gain: Competitive Analysis, Healthcare Industry Knowledge, Stakeholder Analysis, Medical Devices, Market Opportunities, Innovation, Clinical Assessment, Market Analysis, Report Writing, Revenue Forecasting, Financial Modeling, Cost Benefit Analysis, Business Valuation, Regulatory Affairs, Intellectual Property

    4.7
    Rating, 4.7 out of 5 stars
    ·
    67 reviews

    Mixed · Course · 1 - 3 Months

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

  • Vertex Pipelines: Qwik Start: Google Cloud
  • Open Source LLMOps Solutions: Duke University
  • Sistemas difusos: Universidad Nacional de Colombia
  • Graduate Admission Prediction with Pyspark ML: Coursera
  • Hyperparameter Tuning with Keras Tuner: Coursera
  • Introduction to Neural Networks: Johns Hopkins University
  • Data Science at Scale - Capstone Project: University of Washington
  • AI Materials: Korea Advanced Institute of Science and Technology(KAIST)
  • The DMAIC Framework - Define and Measure Phase: SkillUp
  • Reproducible Templates for Analysis and Dissemination : Emory 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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