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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: Free Trial
    Free Trial
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    Alberta Machine Intelligence Institute

    Optimizing Machine Learning Performance

    Skills you'll gain: Responsible AI, Data Ethics, MLOps (Machine Learning Operations), Model Deployment, Model Optimization, Business Operations, Machine Learning, Ethical Standards And Conduct, Operational Performance Management, Applied Machine Learning, Business Strategy, Risk Mitigation, Systems Integration, Stakeholder Communications

    4.4
    Rating, 4.4 out of 5 stars
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    53 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    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), Artificial Intelligence and Machine Learning (AI/ML), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Model Training, Ggplot2, Plot (Graphics), Data Manipulation, Convolutional Neural Networks, Applied Machine Learning, Machine Learning Algorithms

    4.8
    Rating, 4.8 out of 5 stars
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    8 reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Forecast bikeshare demand using time series models in R

    Skills you'll gain: R Programming, R (Software), Data Visualization, Statistical Programming, Time Series Analysis and Forecasting, Interactive Data Visualization, Data-Driven Decision-Making, Trend Analysis, Rmarkdown, Data Processing, Data Analysis, Predictive Modeling, Data Cleansing, Data Manipulation, Exploratory Data Analysis, Predictive Analytics, Revenue Management, Forecasting, Business Strategy, Machine Learning

    4.9
    Rating, 4.9 out of 5 stars
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    12 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
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    University of Illinois Urbana-Champaign

    Machine Learning for Accounting with Python

    Skills you'll gain: Model Evaluation, Machine Learning Algorithms, Model Optimization, Scikit Learn (Machine Learning Library), Model Training, Unsupervised Learning, Text Mining, Time Series Analysis and Forecasting, Pandas (Python Package), Classification Algorithms, Machine Learning, Applied Machine Learning, Supervised Learning, Predictive Modeling, Unstructured Data, Feature Engineering, Jupyter, Regression Analysis, Data Preprocessing, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    45 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Clinical Natural Language Processing

    Skills you'll gain: Natural Language Processing, grep, Text Mining, Clinical Informatics, Clinical Documentation, Clinical Data Management, R (Software), R Programming, Google Cloud Platform, Health Informatics, Unstructured Data, Data Processing

    3.7
    Rating, 3.7 out of 5 stars
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    23 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Howard University

    Linear Algebra for Data Science Using Python

    Skills you'll gain: Data Wrangling, Linear Algebra, Regression Analysis, Data Manipulation, Predictive Modeling, Dimensionality Reduction, Data Science, Data Visualization, Plot (Graphics), Mathematical Modeling, Scientific Visualization, Data Preprocessing, NumPy, Predictive Analytics, Statistical Modeling, Mathematical Software, Statistical Methods, Applied Mathematics, Algebra, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
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    33 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    Packt

    Deep Learning with Real-World Projects

    Skills you'll gain: Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Matplotlib, Convolutional Neural Networks, Linear Algebra, Image Analysis, Plot (Graphics), Data Visualization, NumPy, Scientific Visualization, Machine Learning Algorithms, Keras (Neural Network Library), Statistical Visualization, Pandas (Python Package), Model Training, Applied Machine Learning, Data Science, Artificial Intelligence, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
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    7 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
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    Fred Hutchinson Cancer Center

    Researcher's Guide to Omic Data

    Skills you'll gain: Bioinformatics, Data Analysis Software, Data Processing, Data Analysis, Data Literacy, Molecular Biology, Molecular, Cellular, and Microbiology, Metadata Management, Science and Research, R Programming, Spatial Data Analysis, Data Collection, Scientific Methods, Biochemical Assays, Research, Cell Biology, Informatics, Biology, General Science and Research, Laboratory Techniques

    3.7
    Rating, 3.7 out of 5 stars
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    40 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Perform basic data analysis tasks using Java streams

    Skills you'll gain: Data Import/Export, Data Wrangling, Data Analysis, Exploratory Data Analysis, Java, Data Processing, Data Manipulation, Java Programming, Statistical Methods, Statistics

    4.5
    Rating, 4.5 out of 5 stars
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    6 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Science as a Field

    Skills you'll gain: Data Presentation, Technical Communication, Statistical Reporting, Data Storytelling, Data Science, Data Literacy, Data Analysis, Analysis, Applied Mathematics, Statistics, Computer Science

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
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    40 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    L

    LearnKartS

    Full Stack Agentic AI

    Skills you'll gain: Model Context Protocol, Agentic systems, Vector Databases, Retrieval-Augmented Generation, Prompt Engineering, Tool Calling, Google Gemini, Agentic Workflows, AI Workflows, Generative AI Agents, AI Orchestration, Server Side, Node.JS, MongoDB, Embeddings, Large Language Modeling, Natural Language Processing, Web Development, Machine Learning, Javascript

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Follow a Machine Learning Workflow

    Skills you'll gain: Data Preprocessing, Data Analysis, Model Training, Data Collection, AI Workflows, MLOps (Machine Learning Operations), Statistical Analysis, Model Deployment, Data Processing, Data Cleansing, Applied Machine Learning, Predictive Modeling, Machine Learning, Model Evaluation, Descriptive Statistics, Machine Learning Algorithms, Process Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Optimizing Machine Learning Performance: Alberta Machine Intelligence Institute
  • R Ultimate 2024 - R for Data Science and Machine Learning: Packt
  • Forecast bikeshare demand using time series models in R: Coursera
  • Machine Learning for Accounting with Python: University of Illinois Urbana-Champaign
  • Clinical Natural Language Processing: University of Colorado System
  • Linear Algebra for Data Science Using Python: Howard University
  • Deep Learning with Real-World Projects: Packt
  • Researcher's Guide to Omic Data: Fred Hutchinson Cancer Center
  • Perform basic data analysis tasks using Java streams: Coursera
  • Data Science as a Field: University of Colorado Boulder

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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