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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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    Northeastern University

    Practical AI for Professionals

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, AI Enablement, Artificial Intelligence, Responsible AI, Data Analysis, Descriptive Statistics, Technology Strategies, Business Strategy, Machine Learning, Data Management, Data Preprocessing, Computer Vision, Unstructured Data, Predictive Modeling, Natural Language Processing

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
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    DeepLearning.AI

    Intro to Federated Learning

    Skills you'll gain: Federated Learning, Transfer Learning, AI Security, Large Language Modeling, PyTorch (Machine Learning Library), Information Privacy, Distributed Computing, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
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    10 reviews

    Beginner · Project · Less Than 2 Hours

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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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    Packt

    A Practical Approach to Timeseries Forecasting Using Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Forecasting, Statistical Modeling, Model Evaluation, Feature Engineering, Data Visualization Software

    Intermediate · Course · 1 - 3 Months

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    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 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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    Pearson

    Data Science Fundamentals, Part 1

    Skills you'll gain: Extract, Transform, Load, Data Validation, Data Transformation, Applied Machine Learning, Object-Relational Mapping, Data Wrangling, Data Cleansing, Data Manipulation, Data Integration, Web Scraping, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Data Modeling, Data Science, Python Programming, Scikit Learn (Machine Learning Library), Extensible Markup Language (XML), Data Analysis

    Beginner · Specialization · 1 - 4 Weeks

  • Status: New
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    Packt

    Design for Impact: A Guide to Product Experimentation

    Skills you'll gain: User Experience, User Experience Design, UI/UX Research, Usability Testing, User Research, UI/UX Strategy, A/B Testing, Design Research, Prioritization, Data Literacy, Usability, Product Improvement, Process Design, Business Priorities, Kanban Principles, Product Testing, Business Research, Creative Design, Statistical Hypothesis Testing, Business Strategy

    Intermediate · Course · 1 - 3 Months

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    Packt

    Machine Learning: Random Forest with Python from Scratch©

    Skills you'll gain: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Data Visualization, Data Preprocessing, Machine Learning, Data Manipulation, Feature Engineering, Data Cleansing, Python Programming, Data Science, Model Evaluation, Classification Algorithms, NumPy, Pandas (Python Package)

    Beginner · Course · 1 - 3 Months

  • Status: New
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    EDUCBA

    Predictive Analytics: Apply, Analyze & Interpret

    Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, Predictive Analytics, Data Analysis, Minitab, Statistical Methods, Forecasting, Business Analytics, Quantitative Research, Data-Driven Decision-Making, Descriptive Statistics, Case Studies, Financial Analysis, Microsoft Excel

    Mixed · Course · 1 - 3 Months

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    SkillsBooster Academy

    AI Presentation Generation: Comprehensive Guide

    Skills you'll gain: Presentations, Data Presentation, Sales Presentation, Visual Design, Multimedia, Interactive Data Visualization, Data Visualization, Design Reviews, Workflow Management, Graphic and Visual Design Software, Marketing Design, Visualization (Computer Graphics), Statistical Visualization, Brand Awareness, Executive Presence, Brand Marketing, Branding, Visual Impairment Education, Brand Loyalty, Brand Management

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Computational Thinking with JavaScript 2: Model & Analyse

    Skills you'll gain: JSON, Data Structures, Analytics, Computational Thinking, Data Analysis, Data Visualization Software, Scripting, Javascript, Data Processing, Unsupervised Learning, Data Modeling, Machine Learning, Programming Principles, Object Oriented Programming (OOP), Computer Programming, Algorithms, Software Development

    Beginner · Course · 1 - 4 Weeks

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1…171172173…197

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

  • Practical AI for Professionals: Northeastern University
  • Intro to Federated Learning: DeepLearning.AI
  • Réseaux neuronaux convolutifs: DeepLearning.AI
  • A Practical Approach to Timeseries Forecasting Using Python: Packt
  • Machine Learning for Healthcare Professionals: Northeastern University
  • Digital Innovation: How to Build Digital Processes: University of California, Davis
  • Data Science Fundamentals, Part 1: Pearson
  • Design for Impact: A Guide to Product Experimentation: Packt
  • Machine Learning: Random Forest with Python from Scratch©: Packt
  • Predictive Analytics: Apply, Analyze & Interpret: EDUCBA

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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