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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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    Packt

    NLP – Machine Learning Models in Python

    Skills you'll gain: Model Evaluation, Dimensionality Reduction, Classification Algorithms, Text Mining, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Supervised Learning, Unsupervised Learning, Python Programming, Data Mining, Bayesian Statistics

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Project Sales: Excel Forecasting Functions

    Skills you'll gain: Financial Forecasting, Forecasting, Microsoft Excel, Business Planning, Excel Formulas, Time Series Analysis and Forecasting, Trend Analysis, Strategic Decision-Making, Revenue Forecasting, Predictive Modeling, Predictive Analytics, Data-Driven Decision-Making, Data Analysis, Financial Modeling, Stakeholder Communications, Performance Metric

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    Edureka

    Generative AI Models and GPU Systems

    Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Autoencoders, Model Deployment, Deep Learning, Model Optimization, PyTorch (Machine Learning Library), Model Evaluation, Artificial Neural Networks, Model Training, Convolutional Neural Networks, Performance Tuning, Artificial Intelligence, Scalability, Python Programming, Machine Learning, Memory Management, Image Quality, Performance Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Coursera

    Learn to Choose the Right ML Model

    Skills you'll gain: Model Training, Model Deployment, MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning Methods, Machine Learning, Predictive Modeling, Scenario Testing, Machine Learning Algorithms, Feature Engineering, Statistical Machine Learning, Responsible AI, Regression Analysis, Classification Algorithms, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    Coursera

    Production-Ready Multimodal ML Engineering

    Skills you'll gain: MLOps (Machine Learning Operations), Data Validation, Model Deployment, Test Driven Development (TDD), Apache Airflow, Data Pipelines, Containerization, Extract, Transform, Load, Kubernetes, Data Infrastructure, Model Training, Data Collection, Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Software, Artificial Intelligence, Artificial Neural Networks, Machine Learning Algorithms, Natural Language Processing, Algorithms

    Intermediate · Course · 3 - 6 Months

  • Status: Preview
    Preview
    W

    Whizlabs

    Fundamentals of Machine Learning

    Skills you'll gain: Supervised Learning, Unsupervised Learning, MLOps (Machine Learning Operations), Model Optimization, Applied Machine Learning, Machine Learning Methods, Model Evaluation, Model Training, Data Preprocessing, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Machine Learning Algorithms, Model Deployment, Microsoft Azure, Amazon Web Services, Data Mining, Cloud Solutions, Deep Learning, Data Processing

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    Créer un Business Model Canva avec Mural

    Skills you'll gain: Business Modeling, Customer Relationship Building, Customer Relationship Management, Entrepreneurship, Business Planning, Telecommuting, Financial Modeling, Business Strategy, Collaborative Software

    Beginner · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - 简体中文

    Skills you'll gain: Google Cloud Platform, Generative AI, Generative AI Agents, MLOps (Machine Learning Operations), Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, AI Workflows, Model Training, Agentic Workflows, Agentic systems, Machine Learning, Artificial Intelligence, Model Deployment, Prompt Engineering, Data Preprocessing

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
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    Packt

    Databricks ML in Action

    Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Feature Engineering, Apache Spark, Model Training, Data Preprocessing, Applied Machine Learning, Data Lakes, Extract, Transform, Load, AI Workflows, Hugging Face, Data Pipelines, Data Processing, PySpark, Vector Databases, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Artificial Intelligence

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Simplilearn

    Fundamental of Reinforcement Training

    Skills you'll gain: Reinforcement Learning, Agentic systems, Artificial Intelligence, Decision Intelligence, Applied Machine Learning, Machine Learning, Supervised Learning, Unsupervised Learning, Markov Model

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Calibrate and Serve Confident AI Predictions

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), AI Workflows, Applied Machine Learning, Model Optimization, Data Pipelines, Responsible AI, Statistical Modeling

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning with Keras and Practical Applications

    Skills you'll gain: Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), Model Optimization, Data Processing, Transfer Learning, Data Analysis, Model Training, Data Preprocessing, Image Analysis, Deep Learning, Classification Algorithms, Artificial Neural Networks, Application Deployment, Applied Machine Learning, Fine-tuning, Computer Vision, Predictive Modeling, Model Evaluation, Machine Learning

    Intermediate · Course · 3 - 6 Months

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

  • NLP – Machine Learning Models in Python: Packt
  • Project Sales: Excel Forecasting Functions: Coursera
  • Generative AI Models and GPU Systems: Edureka
  • Learn to Choose the Right ML Model: Coursera
  • Production-Ready Multimodal ML Engineering: Coursera
  • Fundamentals of Machine Learning: Whizlabs
  • Créer un Business Model Canva avec Mural: Coursera
  • Introduction to AI and Machine Learning on GC - 简体中文: Google Cloud
  • Databricks ML in Action: Packt
  • Fundamental of Reinforcement Training: Simplilearn

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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