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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
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    Packt

    Mastering Machine Learning Algorithms using Python

    Skills you'll gain: Data Science, Unsupervised Learning, Exploratory Data Analysis, Probability & Statistics, Machine Learning Algorithms, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Python Programming, Random Forest Algorithm, Dimensionality Reduction, Predictive Modeling, NumPy, Regression Analysis, Statistical Analysis, Data Processing, Deep Learning, Pandas (Python Package), Data Visualization, Data Manipulation

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    Fractal Analytics

    Data Frameworks for Generative AI

    Skills you'll gain: Generative AI, Retrieval-Augmented Generation, Enterprise Architecture, AI Enablement, Metadata Management, Data Science, Machine Learning

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Colorado System

    Machine Learning for Marketers

    Skills you'll gain: Classification And Regression Tree (CART), AI Personalization, Marketing Analytics, Unsupervised Learning, Customer Analysis, Predictive Analytics, Applied Machine Learning, Supervised Learning, Dimensionality Reduction, Marketing Effectiveness, Marketing Strategies, Data-Driven Decision-Making, Strategic Marketing, Campaign Management, Customer experience improvement, Personalized Service, Customer Insights, Model Evaluation, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Methods in Machine Learning Applications

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Random Forest Algorithm, Decision Tree Learning, Supervised Learning, Logistic Regression, Classification Algorithms

    Intermediate · Course · 1 - 3 Months

  • U

    Universidades Anáhuac

    Análisis de datos empresariales con R

    Skills you'll gain: R Programming, Statistical Analysis, Correlation Analysis, Data-Driven Decision-Making, Business Analytics, Statistical Methods, Data Analysis, Unsupervised Learning, Business Analysis, Exploratory Data Analysis, Advanced Analytics, Data Visualization, Probability & Statistics, Machine Learning Algorithms

    Beginner · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    E

    EDUCBA

    AI Driven Machine Learning with Python

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Data Preprocessing, Jupyter, Image Analysis, Cloud Deployment, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Amazon Web Services, Python Programming, Data Transformation, Logistic Regression, Machine Learning Methods, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
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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, Home Health Care, Generative AI, Business Process Improvement

    Mixed · Course · 1 - 4 Weeks

  • Status: New
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    EDUCBA

    Lean Six Sigma: Define, Analyze & Improve

    Skills you'll gain: Lean Six Sigma, Process Mapping, Quality Improvement, Root Cause Analysis, Process Improvement, Strategic Leadership, Business Leadership, Organizational Change, Change Management, Descriptive Statistics, Continuous Improvement Process, Performance Measurement, Business Priorities, Statistical Analysis, Process Design

    Mixed · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    P

    Pearson

    Data Science Fundamentals Part 2: Unit 2

    Skills you'll gain: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Packt

    Foundations of Deep Learning and Neural Networks

    Skills you'll gain: Artificial Neural Networks, Deep Learning, Convolutional Neural Networks, Image Analysis, Keras (Neural Network Library), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Machine Learning Methods, Network Architecture, Artificial Intelligence, Network Model, Machine Learning, Classification Algorithms, Data Processing

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Packt

    Tableau Data Analysis and Visualization

    Skills you'll gain: Tableau Software, Dashboard, Data Visualization Software, Data Visualization, R Programming, Alteryx, Statistical Programming, Data Presentation, Interactive Data Visualization, Data Cleansing, Data Storytelling, Data Structures, Statistical Analysis, Workflow Management, Data Analysis, Scatter Plots, Data Preprocessing, Data Manipulation, Data Processing, Data Transformation

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Python Fundamentals and Data Science Essentials

    Skills you'll gain: Matplotlib, Linear Algebra, Data Visualization, NumPy, Machine Learning Algorithms, Pandas (Python Package), Seaborn, Data Science, Machine Learning, Data Analysis, Supervised Learning, Python Programming, Jupyter, Data Manipulation, Classification Algorithms, Regression Analysis, Data Structures, Software Installation

    Beginner · Course · 1 - 3 Months

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

  • Mastering Machine Learning Algorithms using Python: Packt
  • Data Frameworks for Generative AI: Fractal Analytics
  • Machine Learning for Marketers: University of Colorado System
  • Advanced Methods in Machine Learning Applications: Johns Hopkins University
  • Análisis de datos empresariales con R: Universidades Anáhuac
  • AI Driven Machine Learning with Python: EDUCBA
  • Machine Learning for Healthcare Professionals: Northeastern University
  • Lean Six Sigma: Define, Analyze & Improve: EDUCBA
  • Data Science Fundamentals Part 2: Unit 2: Pearson
  • Foundations of Deep Learning and Neural Networks: Packt

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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