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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.


More to explore:

Popular Statistical Inference Courses and Certifications


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    Fractal Analytics

    How to Build a Diffusion Model - An Introduction

    Skills you'll gain: Model Evaluation, Generative AI, Data Preprocessing, Transfer Learning, PyTorch (Machine Learning Library), Machine Learning, Convolutional Neural Networks, Image Quality

    Intermediate · 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

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    Packt

    Exploratory Data Analysis & Core ML Algorithms

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Decision Tree Learning, Data Analysis, Regression Analysis, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Model Evaluation, Scikit Learn (Machine Learning Library), Data Preprocessing, Statistical Machine Learning, Feature Engineering

    Intermediate · Course · 1 - 3 Months

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    Google Cloud

    Classify Images of Cats and Dogs using Transfer Learning

    Skills you'll gain: Tensorflow, Transfer Learning, Image Analysis, Keras (Neural Network Library), Convolutional Neural Networks, Applied Machine Learning, Deep Learning, Machine Learning

    Beginner · Project · Less Than 2 Hours

  • P

    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

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    Northeastern University

    Practical Engineering Data Mining: Techniques and Uses

    Skills you'll gain: Data Mining, Exploratory Data Analysis, Model Evaluation, Dimensionality Reduction, Data Preprocessing, Data Cleansing, Data Transformation, Data-Driven Decision-Making, Predictive Analytics, Forecasting, Big Data, Data Analysis, Applied Machine Learning, Statistical Analysis, Classification Algorithms, Data Visualization Software, Unsupervised Learning, Regression Analysis

    Intermediate · Course · 1 - 4 Weeks

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    Johns Hopkins University

    Artificial Intelligence in Social Media Analytics

    Skills you'll gain: Social Network Analysis, Machine Learning, Natural Language Processing, Text Mining, Network Analysis, Analytics, Data Preprocessing, Unstructured Data, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML)

    Intermediate · Course · 1 - 3 Months

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    Edureka

    Getting Started with Generative AI

    Skills you'll gain: Prompt Engineering, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Embeddings, Data Preprocessing, AI Personalization, Deep Learning, Model Evaluation, Transfer Learning, Model Deployment, Open Source Technology, Data Processing, Machine Learning, Data Cleansing, Data Visualization, Database Systems

    Beginner · Course · 1 - 3 Months

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    Edureka

    Securing AI Systems

    Skills you'll gain: AI Security, Responsible AI, Incident Response, Application Security, Security Engineering, Threat Modeling, Cybersecurity, MLOps (Machine Learning Operations), Information Systems Security, Security Strategy, Continuous Monitoring, Identity and Access Management, Cloud Security, Vulnerability Assessments, Threat Detection, Artificial Intelligence, Model Deployment, Machine Learning, Anomaly Detection

    Intermediate · Course · 1 - 4 Weeks

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    University of Washington

    머신 러닝 기초: 사례 연구 접근 방식

    Skills you'll gain: Model Evaluation, Regression Analysis, Applied Machine Learning, Machine Learning, Deep Learning, Jupyter, Supervised Learning, Predictive Analytics, Classification Algorithms, Image Analysis, Unsupervised Learning, Computer Vision, Text Mining, Natural Language Processing, Python Programming

    Mixed · Course · 1 - 3 Months

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    Google Cloud

    Feature Engineering en Français

    Skills you'll gain: Feature Engineering, Data Preprocessing, Tensorflow, MLOps (Machine Learning Operations), Dataflow, Model Evaluation, Data Transformation, Data Store, Keras (Neural Network Library), Data Modeling, Applied Machine Learning, Machine Learning

    Intermediate · Course · 1 - 3 Months

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    University of Glasgow

    Computational Thinking with JavaScript 2: Model & Analyse

    Skills you'll gain: JSON, Data Structures, Computational Thinking, Data Analysis, Data Visualization Software, Scripting, Javascript, Data Processing, Unsupervised Learning, Data Science, Data Modeling, Machine Learning, Computer Programming, Algorithms, Software Development

    Beginner · Course · 1 - 4 Weeks

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

  • How to Build a Diffusion Model - An Introduction: Fractal Analytics
  • Foundations of Deep Learning and Neural Networks: Packt
  • Exploratory Data Analysis & Core ML Algorithms: Packt
  • Classify Images of Cats and Dogs using Transfer Learning: Google Cloud
  • Machine Learning: Random Forest with Python from Scratch©: Packt
  • Practical Engineering Data Mining: Techniques and Uses: Northeastern University
  • Artificial Intelligence in Social Media Analytics: Johns Hopkins University
  • Getting Started with Generative AI: Edureka
  • Securing AI Systems: Edureka
  • 머신 러닝 기초: 사례 연구 접근 방식: University of Washington

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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