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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: Preview
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    C

    Coursera

    Machine Learning in Retail

    Skills you'll gain: Customer Analysis, Unsupervised Learning, Customer Insights, Marketing Analytics, Applied Machine Learning, Data Analysis, Web Analytics, Retail Store Operations, Machine Learning, Machine Learning Algorithms, Histogram, Decision Tree Learning, Model Evaluation, Pandas (Python Package)

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Association Rules Analysis

    Skills you'll gain: Unsupervised Learning, Anomaly Detection, Data Preprocessing, Data Mining, Applied Machine Learning, Feature Engineering, Exploratory Data Analysis, Data Analysis, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
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    12 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    NVIDIA: Fundamentals of Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Deep Learning, Transfer Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Classification Algorithms, Machine Learning, Supervised Learning, Data Processing, Linear Algebra

    4.4
    Rating, 4.4 out of 5 stars
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    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Whizlabs

    Modeling in AWS

    Skills you'll gain: Model Evaluation, AWS SageMaker, Data Modeling, Amazon Web Services, Machine Learning, Supervised Learning, Unsupervised Learning, Machine Learning Algorithms, Performance Tuning

    2.6
    Rating, 2.6 out of 5 stars
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    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Colorado System

    Linear Kalman Filter Deep Dive (and Target Tracking)

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

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Visualizing Data in the Tidyverse

    Skills you'll gain: Ggplot2, Plot (Graphics), Data Visualization Software, Exploratory Data Analysis, Data Presentation, Data Storytelling, Scatter Plots, Tidyverse (R Package), R Programming, Box Plots, Histogram, Animations, Data Manipulation

    4.7
    Rating, 4.7 out of 5 stars
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    20 reviews

    Mixed · Course · 1 - 3 Months

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    Free Trial
    P

    Packt

    R Ultimate 2024 - R for Data Science and Machine Learning

    Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Convolutional Neural Networks, Plotly, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction

    Beginner · Specialization · 3 - 6 Months

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    J

    Johns Hopkins University

    Introduction to AI: Key Concepts and Applications

    Skills you'll gain: AI Enablement, Model Evaluation, Performance Metric, Artificial Intelligence and Machine Learning (AI/ML), Strategic Leadership, Responsible AI, Machine Learning Algorithms, Data Quality, Model Deployment, Machine Learning, Algorithms, Classification Algorithms, Artificial Neural Networks, Decision Tree Learning, Random Forest Algorithm, Resource Utilization, System Requirements, Data Management

    4.8
    Rating, 4.8 out of 5 stars
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    24 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    L

    L&T EduTech

    Industrial Applications of AI

    Skills you'll gain: Machine Learning Algorithms, Computer Vision, Applied Machine Learning, Image Analysis, Civil Engineering, Artificial Intelligence, Electrical Substation, Machine Learning, Tensorflow, Convolutional Neural Networks, Deep Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Electric Power Systems, Electrical Engineering, Oil and Gas, Mechanical Engineering, Data Preprocessing, Healthcare 5.0

    4.8
    Rating, 4.8 out of 5 stars
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    12 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Google Cloud

    Preparing for the Google Cloud Professional Data Engineer Exam 日本語版

    Skills you'll gain: MLOps (Machine Learning Operations), Data Processing, Model Deployment, Data Pipelines, Systems Design, Google Cloud Platform, Analytics, Database Development, Data Infrastructure, Cloud Engineering, Data Architecture, Data Analysis, Security Controls, Machine Learning, Data Visualization, Data Storage Technologies, Scalability, Disaster Recovery

    4.7
    Rating, 4.7 out of 5 stars
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    14 reviews

    Advanced · Course · 1 - 3 Months

  • 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

  • Status: Free Trial
    Free Trial
    A

    American Psychological Association

    How to Create and Explore a Data Set

    Skills you'll gain: Histogram, Data Analysis, Exploratory Data Analysis, Graphing, Data Visualization Software, Data Literacy, Descriptive Statistics, Statistical Software, Statistics, Data Management, Research, Psychology

    Beginner · Course · 1 - 3 Months

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

  • Machine Learning in Retail: Coursera
  • Association Rules Analysis: University of Colorado Boulder
  • NVIDIA: Fundamentals of Deep Learning: Whizlabs
  • Modeling in AWS: Whizlabs
  • Linear Kalman Filter Deep Dive (and Target Tracking): University of Colorado System
  • Visualizing Data in the Tidyverse: Johns Hopkins University
  • R Ultimate 2024 - R for Data Science and Machine Learning: Packt
  • Introduction to AI: Key Concepts and Applications: Johns Hopkins University
  • Industrial Applications of AI: L&T EduTech
  • Preparing for the Google Cloud Professional Data Engineer Exam 日本語版: Google Cloud

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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