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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


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    J

    Johns Hopkins University

    مجموعة أدوات عالم البيانات

    Skills you'll gain: Data Transformation, Data Manipulation, Data Science, Data Analysis, R Programming, Exploratory Data Analysis, Software Installation, Version Control, Command-Line Interface

    4.7
    Rating, 4.7 out of 5 stars
    ·
    107 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    K-Means Clustering 101: World Happiness Report

    Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Plotly, Data Visualization, Machine Learning, Social Sciences, Socioeconomics, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Exploratory Data Analysis, Data Analysis, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    20 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    N

    Northeastern University

    Generative AI: Foundations and Concepts

    Skills you'll gain: Generative AI, Generative Model Architectures, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Bayesian Network, Machine Learning Methods, Mathematical Modeling, Estimation, Model Evaluation, Applied Mathematics, Dimensionality Reduction, Network Architecture, Probability & Statistics

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Naive Bayes 101: Resume Selection with Machine Learning

    Skills you'll gain: Data Visualization, Matplotlib, Plot (Graphics), Exploratory Data Analysis, Text Mining, Model Evaluation, Classification Algorithms, Applied Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Preprocessing, Natural Language Processing, Machine Learning, Unstructured Data, Data Analysis, Data Manipulation, Python Programming, Computer Science

    4.5
    Rating, 4.5 out of 5 stars
    ·
    17 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Applied Machine Learning

    Skills you'll gain: Computer Vision, Model Evaluation, PyTorch (Machine Learning Library), Supervised Learning, Unsupervised Learning, Image Analysis, Applied Machine Learning, Data Preprocessing, Dimensionality Reduction, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Convolutional Neural Networks, Regression Analysis, Data Processing, Machine Learning, Data Mining, Data Cleansing, Deep Learning, Artificial Neural Networks

    3.5
    Rating, 3.5 out of 5 stars
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    14 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    U

    University of Colorado Boulder

    Data Analysis with Tidyverse

    Skills you'll gain: Tidyverse (R Package), Data Import/Export, R Programming, Data Manipulation, Data Analysis, Ggplot2, Relational Databases, Data Transformation, Data Cleansing, Data Structures, Programming Principles

    4.1
    Rating, 4.1 out of 5 stars
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    13 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Python Fundamentals and Data Science Essentials

    Skills you'll gain: Matplotlib, Linear Algebra, Data Visualization, NumPy, Machine Learning Algorithms, Pandas (Python Package), Seaborn, Data Science, Machine Learning, Data Analysis, Supervised Learning, Python Programming, Jupyter, Data Manipulation, Classification Algorithms, Regression Analysis, Data Structures, Software Installation

    Beginner · Course · 1 - 3 Months

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    U

    University of Virginia

    تحليلات التسويق

    Skills you'll gain: Marketing Analytics, Marketing Effectiveness, Marketing Strategies, Marketing, Customer Analysis, Data-Driven Decision-Making, Analytics, Performance Measurement, Strategic Marketing, Brand Management, Regression Analysis, Consumer Behaviour, Return On Investment, A/B Testing, Statistical Analysis

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    AI ML with Deep Learning and Supervised Models

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning, Decision Tree Learning, Predictive Analytics, Regression Analysis

    4
    Rating, 4 out of 5 stars
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    10 reviews

    Beginner · Specialization · 1 - 3 Months

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    N

    Northeastern University

    Machine Learning for Healthcare Professionals

    Skills you'll gain: Data Mining, Health Informatics, Acute Care, Emerging Technologies, Big Data, Health Technology, Analytics, Data Preprocessing, Clinical Informatics, Machine Learning, Health Care, Applied Machine Learning, Artificial Intelligence, Social Determinants Of Health, Home Health Care, Generative AI, Business Process Improvement

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Explainable deep learning models for healthcare - CDSS 3

    Skills you'll gain: Autoencoders, Model Evaluation, Deep Learning, Healthcare 5.0, Recurrent Neural Networks (RNNs), Applied Machine Learning, Time Series Analysis and Forecasting, Machine Learning, Convolutional Neural Networks, Responsible AI, Electocardiography, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
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    15 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Satellite Remote Sensing Data Bootcamp With Opensource Tools

    Skills you'll gain: Geospatial Information and Technology, Geospatial Mapping, Spatial Data Analysis, Geographic Information Systems, Unsupervised Learning, Image Analysis, Machine Learning, R Programming, Data Processing, Data Preprocessing, Classification Algorithms, Data Transformation, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

Searches related to statistical inference

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

  • مجموعة أدوات عالم البيانات: Johns Hopkins University
  • K-Means Clustering 101: World Happiness Report: Coursera
  • Generative AI: Foundations and Concepts: Northeastern University
  • Naive Bayes 101: Resume Selection with Machine Learning: Coursera
  • Applied Machine Learning: Johns Hopkins University
  • Data Analysis with Tidyverse: University of Colorado Boulder
  • Python Fundamentals and Data Science Essentials: Packt
  • تحليلات التسويق: University of Virginia
  • AI ML with Deep Learning and Supervised Models: Simplilearn
  • Machine Learning for Healthcare Professionals: Northeastern 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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