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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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    DeepLearning.AI

    Сверточные нейронные сети

    Skills you'll gain: Convolutional Neural Networks, Image Analysis, Computer Vision, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Transfer Learning, Network Architecture

    Intermediate · Course · 1 - 4 Weeks

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    University of California, Davis

    Digital Innovation: How to Build Digital Processes

    Skills you'll gain: Innovation, Digital Transformation, Digital Communications, Business Transformation, Data Storage, Fundraising and Crowdsourcing, Social Impact, Computational Thinking, Artificial Intelligence, Media Strategy, Information Privacy, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
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    10 reviews

    Beginner · Course · 1 - 4 Weeks

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    DeepLearning.AI

    Réseaux neuronaux convolutifs

    Skills you'll gain: Convolutional Neural Networks, Computer Vision, Keras (Neural Network Library), Image Analysis, Deep Learning, Transfer Learning, Artificial Neural Networks, Tensorflow, Dimensionality Reduction, Network Architecture, Data Preprocessing, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

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    University of Glasgow

    6G for a Connected Future

    Skills you'll gain: Federated Learning, Wireless Networks, Emerging Technologies, Digital Communications, Communication Systems, Blockchain, Internet Of Things, Network Security, Telecommunications, Network Performance Management, Network Planning And Design, Zero Trust Network Access, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Electrical Engineering, Network Analysis, Information Technology, Electronics Engineering, Machine Learning, Trustworthiness

    4.7
    Rating, 4.7 out of 5 stars
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    7 reviews

    Intermediate · Specialization · 3 - 6 Months

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    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

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    MathWorks

    Data Science Companion

    Skills you'll gain: Data Science, Data Processing, Applied Machine Learning, Machine Learning, Geographic Information Systems, Big Data, Data Visualization, Data Analysis, Data Integration, Amazon Web Services, Cloud Computing, Matlab, Data Cleansing, Regression Analysis, Classification Algorithms

    4.9
    Rating, 4.9 out of 5 stars
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    13 reviews

    Beginner · Course · 1 - 4 Weeks

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    Northeastern University

    Data Visualization with Python & R for Engineers

    Skills you'll gain: Data Storytelling, Data Literacy, Statistical Visualization, Data-Driven Decision-Making, Data Visualization Software, Data Preprocessing, Data Mining, Exploratory Data Analysis, Data Cleansing, Graphing, Big Data, Programming Principles, Python Programming, NumPy

    Mixed · Course · 1 - 4 Weeks

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    University of Minnesota

    Introduction to Social Determinants of Health

    Skills you'll gain: Social Determinants Of Health, Health Disparities, Health Equity, Health Policy, Systems Thinking, Health Informatics, Public Health, Community Health, Social Impact, Data Analysis, R Programming, Data Visualization, Data-Driven Decision-Making

    4.7
    Rating, 4.7 out of 5 stars
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    15 reviews

    Beginner · Course · 1 - 3 Months

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    University of Colorado Boulder

    BiteSize Python: NumPy and Pandas

    Skills you'll gain: Pandas (Python Package), NumPy, Data Structures, Data Import/Export, Data Manipulation, Data Cleansing, Statistical Methods, Data Analysis, Exploratory Data Analysis

    Intermediate · Course · 1 - 3 Months

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    Google

    Fast-Track Data Analysis and Presentations

    Skills you'll gain: Presentations, Prompt Engineering, Responsible AI, Verbal Communication Skills, Sampling (Statistics), Data Storytelling, Spreadsheet Software, Generative AI, Data Analysis

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    Regression & Logistic Models in Excel & Minitab

    Skills you'll gain: Data-Driven Decision-Making, Regression Analysis, Logistic Regression, Scatter Plots, Data Analysis, Predictive Analytics, Analytics, Business Analytics, Predictive Modeling, Minitab, Advanced Analytics, Statistical Modeling, Statistical Analysis, Statistical Hypothesis Testing, Correlation Analysis, Microsoft Excel, Model Evaluation

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    Linear Regression & Predictive Modeling with SPSS

    Skills you'll gain: Data Visualization, Data Presentation, Regression Analysis, Predictive Modeling, Statistical Modeling, Forecasting, Financial Modeling, SPSS, Predictive Analytics, Risk Modeling, Statistical Analysis, Scatter Plots, Microsoft Excel

    Mixed · Course · 1 - 4 Weeks

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

  • Сверточные нейронные сети: DeepLearning.AI
  • Digital Innovation: How to Build Digital Processes: University of California, Davis
  • Réseaux neuronaux convolutifs: DeepLearning.AI
  • 6G for a Connected Future: University of Glasgow
  • Explainable deep learning models for healthcare - CDSS 3: University of Glasgow
  • Data Science Companion: MathWorks
  • Data Visualization with Python & R for Engineers: Northeastern University
  • Introduction to Social Determinants of Health: University of Minnesota
  • BiteSize Python: NumPy and Pandas: University of Colorado Boulder
  • Fast-Track Data Analysis and Presentations: Google

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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