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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: New
    New
    Status: Free Trial
    Free Trial
    K

    Khalifa University

    AI for Executives

    Skills you'll gain: Data Strategy, Customer Relationship Management (CRM) Software, AI Personalization, AI Enablement, Sales Enablement, Model Deployment, Feature Engineering, Data Governance, Responsible AI, Model Evaluation, Data Preprocessing, Transfer Learning, Data Quality, Customer Data Management, Sales Management, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Reinforcement Learning, Natural Language Processing

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
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    U

    University of Colorado Boulder

    Deep Learning Applications for Computer Vision

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Tensorflow, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Machine Learning, Model Evaluation, Performance Tuning, Classification Algorithms

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
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    88 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Wearable Technologies and Sports Analytics

    Skills you'll gain: Sports Medicine, Injury Prevention, Athletic Training, Physiology, Analytics, Physical Stamina, Data Analysis, Advanced Analytics, Medical Equipment and Technology, Vital Signs, Health Technology, Python Programming, Machine Learning, Data Collection

    4.5
    Rating, 4.5 out of 5 stars
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    45 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    American Psychological Association

    Measures of Central Tendency

    Skills you'll gain: Descriptive Statistics, Probability & Statistics, Statistics, Statistical Analysis, Data Literacy, Statistical Visualization, Data Analysis, Graphing, Arithmetic

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Python: A Guided Journey from Introduction to Application

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Matplotlib, File I/O, Generative Adversarial Networks (GANs), NumPy, Object Oriented Programming (OOP), Deep Learning, Image Analysis, Plot (Graphics), Machine Learning Algorithms, Object Oriented Design, Applied Machine Learning, Integrated Development Environments, Pandas (Python Package), Python Programming, Machine Learning, Event-Driven Programming, Programming Principles, Computer Programming

    4
    Rating, 4 out of 5 stars
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    76 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Fundamental Tools of Data Wrangling

    Skills you'll gain: Pandas (Python Package), Data Wrangling, NumPy, Data Visualization, Data Cleansing, Data Structures, Data Analysis, Data Manipulation, Data Preprocessing, Data Transformation, Exploratory Data Analysis, Statistical Analysis, Jupyter, Programming Principles, Python Programming, Scripting

    4.5
    Rating, 4.5 out of 5 stars
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    20 reviews

    Beginner · Course · 1 - 3 Months

  • 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)

    3.9
    Rating, 3.9 out of 5 stars
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    25 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    B

    Ball State University

    Introduction to Data Science

    Skills you'll gain: Data Ethics, Data Collection, Probability & Statistics, Statistics, Sampling (Statistics), Data Science, R Programming, Statistical Methods, Data Structures, Data Analysis, Data Capture, Information Privacy, Tidyverse (R Package), Data Quality, Informed Consent, Social Impact, Ethical Standards And Conduct, Data Validation, Algorithms, Big Data

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
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    7 reviews

    Beginner · Course · 1 - 3 Months

  • 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
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    25 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    More Applied Data Science with Python

    Skills you'll gain: Unsupervised Learning, Data Mining, Social Network Analysis, ChatGPT, Embeddings, Machine Learning Methods, Data Science, Supervised Learning, Generative AI, Machine Learning, Anomaly Detection, Data Preprocessing, Data Analysis, Recurrent Neural Networks (RNNs), Data Manipulation, Python Programming, Exploratory Data Analysis, Machine Learning Algorithms, Classification Algorithms, Probability Distribution

    4.2
    Rating, 4.2 out of 5 stars
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    9 reviews

    Advanced · Specialization · 3 - 6 Months

  • C

    Coursera

    Decision Tree Classifier for Beginners in R

    Skills you'll gain: Model Evaluation, Decision Tree Learning, Data Preprocessing, Data Manipulation, Statistical Modeling, R Programming, Supervised Learning, Machine Learning, Classification Algorithms

    4.8
    Rating, 4.8 out of 5 stars
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    6 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Machine Learning, Visual Recognition and NLP

    Skills you'll gain: Model Evaluation, Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Convolutional Neural Networks, Computer Vision, Data Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
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    90 reviews

    Advanced · Course · 1 - 4 Weeks

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

  • AI for Executives: Khalifa University
  • Deep Learning Applications for Computer Vision: University of Colorado Boulder
  • Wearable Technologies and Sports Analytics: University of Michigan
  • Measures of Central Tendency: American Psychological Association
  • Python: A Guided Journey from Introduction to Application: Arizona State University
  • Fundamental Tools of Data Wrangling: University of Colorado Boulder
  • Machine Learning: Concepts and Applications: The University of Chicago
  • Introduction to Data Science: Ball State University
  • Open Source LLMOps Solutions: Duke University
  • More Applied Data Science with Python: University of Michigan

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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