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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


  • C

    Coursera

    Simulation of Covid-19 Testing Process Using R Simmer

    Skills you'll gain: Simulations, Visualization (Computer Graphics), Statistical Visualization, R (Software), R Programming, Statistical Modeling, Statistical Programming, Statistical Analysis, Process Analysis, Data Analysis, Test Case

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    Snowflake

    Intro to Snowflake for Devs, Data Scientists, Data Engineers

    Skills you'll gain: Data Engineering, Data Manipulation, Data Warehousing, Cloud Development, SQL, Data Pipelines, Extract, Transform, Load, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Role-Based Access Control (RBAC), Stored Procedure, Data Storage, Database Management, Generative AI, Data Science, Data Import/Export, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    190 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Data Manipulation with dplyr in R

    Skills you'll gain: Data Manipulation, Tidyverse (R Package), Data Wrangling, Data Analysis, R Programming, Exploratory Data Analysis, Statistical Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Transformer Models and BERT Model

    Skills you'll gain: Large Language Modeling, Natural Language Processing, Generative Model Architectures, Transfer Learning, Embeddings

    4.1
    Rating, 4.1 out of 5 stars
    ·
    125 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    T

    The University of Chicago

    Machine Learning: Concepts and Applications

    Skills you'll gain: Keras (Neural Network Library), Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Model Evaluation, Data Preprocessing, Statistical Methods, Tensorflow, Feature Engineering, Pandas (Python Package)

    3.8
    Rating, 3.8 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Introduction to Generative AI

    Skills you'll gain: Prompt Engineering, Generative AI, Retrieval-Augmented Generation, ChatGPT, OpenAI, Large Language Modeling, OpenAI API, Hugging Face, Microsoft Copilot, Responsible AI, Python Programming, Machine Learning, Application Programming Interface (API)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    186 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Wrangling with Python

    Skills you'll gain: Matplotlib, Web Scraping, Pivot Tables And Charts, Pandas (Python Package), Data Integration, Statistical Visualization, Data Manipulation, Exploratory Data Analysis, Data Wrangling, Data Visualization, Data Transformation, Data Cleansing, Data Preprocessing, Data Presentation, Plot (Graphics), Data Visualization Software, Statistical Analysis, Seaborn, NumPy, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    36 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning and Reinforcement Learning

    Skills you'll gain: Autoencoders, Generative AI, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning, Computer Vision, Dimensionality Reduction, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    285 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    Duke University

    R을 사용한 확률 및 데이터 소개

    Skills you'll gain: Exploratory Data Analysis, Sampling (Statistics), Statistical Inference, R (Software), Probability Distribution, R Programming, Bayesian Statistics, Probability, Data Analysis, Statistical Analysis, Descriptive Statistics

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Semiconductor Packaging

    Skills you'll gain: Statistical Process Controls, Process Control, Semiconductors, Quality Assurance, Verification And Validation, Electronics Engineering, Manufacturing Operations, Manufacturing Processes, Electronics, Process Improvement, Process Analysis, Product Testing, Reliability, Electronic Components, Electronic Systems, Computer Hardware, Computer Architecture, Thermal Management, Scalability, Systems Integration

    4.7
    Rating, 4.7 out of 5 stars
    ·
    241 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Grant Writing for Health Researchers

    Skills you'll gain: Concision, Grant Writing, Sample Size Determination, Grant Applications, Proposal Writing, Biostatistics, Writing, Clinical Research Ethics, Editing, Statistical Analysis, Healthcare Ethics, Data Analysis, Clinical Research, Statistical Methods, Statistical Reporting, Medical Science and Research, Research Design, Planning, Science and Research, Growth Mindedness

    4.9
    Rating, 4.9 out of 5 stars
    ·
    54 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    NVIDIA: Fundamentals of Machine Learning

    Skills you'll gain: Data Preprocessing, Unsupervised Learning, Model Evaluation, Time Series Analysis and Forecasting, Supervised Learning, Machine Learning, Feature Engineering, Artificial Intelligence, Deep Learning, Classification Algorithms, Statistical Analysis, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    21 reviews

    Intermediate · Course · 1 - 4 Weeks

Searches related to statistical inference

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

  • Simulation of Covid-19 Testing Process Using R Simmer: Coursera
  • Intro to Snowflake for Devs, Data Scientists, Data Engineers: Snowflake
  • Data Manipulation with dplyr in R: Coursera
  • Transformer Models and BERT Model: Google Cloud
  • Machine Learning: Concepts and Applications: The University of Chicago
  • Introduction to Generative AI: Duke University
  • Data Wrangling with Python: University of Colorado Boulder
  • Deep Learning and Reinforcement Learning: IBM
  • R을 사용한 확률 및 데이터 소개: Duke University
  • Semiconductor Packaging: Arizona State 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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