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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


  • P

    Packt

    Recommender Systems Complete Course Beginner to Advanced

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Natural Language Processing, Deep Learning, Predictive Modeling, Time Series Analysis and Forecasting, Artificial Neural Networks, Machine Learning, Embeddings, Data Preprocessing

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Univariate Time Series Analytics & Modeling with EViews

    Skills you'll gain: Time Series Analysis and Forecasting, Statistical Modeling, Forecasting, Predictive Modeling, Regression Analysis, Exploratory Data Analysis, Predictive Analytics, Correlation Analysis, Statistical Software, Statistical Analysis, Model Evaluation, Plot (Graphics)

    Mixed · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    머신 러닝 프로젝트 구조화

    Skills you'll gain: Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Technical Management, Machine Learning, Applied Machine Learning, Model Evaluation, Deep Learning, Debugging, Performance Tuning

    Beginner · Course · 1 - 4 Weeks

  • N

    Northeastern University

    Generative AI: Foundations and Concepts

    Skills you'll gain: Generative AI, Generative Model Architectures, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Bayesian Network, Machine Learning Methods, Mathematical Modeling, Estimation, Model Evaluation, Applied Mathematics, Dimensionality Reduction, Network Architecture, Probability & Statistics

    Intermediate · Course · 1 - 4 Weeks

  • L

    LearnQuest

    Foundations of No-Code AI for Real-World Applications

    Skills you'll gain: Data Ethics, No-Code Development, Model Deployment, Data Cleansing, Data Preprocessing, Artificial Intelligence, Machine Learning, Business Metrics, Data Storytelling, User Experience Design, Generative AI, Business Analytics, Regulation and Legal Compliance, AI Workflows, Scalability, Data Validation, Dashboard, Automation, Stakeholder Engagement

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Google Cloud Product Fundamentals 日本語版

    Skills you'll gain: Digital Transformation, Google Cloud Platform, Google Workspace, Cloud Applications, Collaborative Software, Platform As A Service (PaaS), Database Application, Artificial Intelligence and Machine Learning (AI/ML), Cost Management, Cloud Computing, Cloud Infrastructure, Cloud Storage, Machine Learning, IT Infrastructure, Cloud Security

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 3 Months

  • R

    Real Madrid Graduate School Universidad Europea

    Must-Know Concepts - Basic requirements for data analysis

    Skills you'll gain: Data Presentation, Matplotlib, Analytics, Probability Distribution, Data Processing, Statistical Methods, Exploratory Data Analysis, Statistical Analysis, Probability, Data Cleansing, Computer Programming Tools, Data Collection, Performance Measurement, Python Programming, Technical Analysis

    Beginner · Course · 1 - 4 Weeks

  • U

    Universidades Anáhuac

    Data Science: Tus Primeros Pasos con Python

    Skills you'll gain: Data Cleansing, Database Management, SQL, Databases, Data Visualization Software, Pandas (Python Package), Data Science, Jupyter, Data Manipulation, Web Scraping, Data Processing, Data Collection, Python Programming, Matplotlib, Machine Learning

    2.7
    Rating, 2.7 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Анализ доходности с EVA

    Skills you'll gain: Financial Statement Analysis, Financial Statements, Financial Analysis, Return On Investment, Financial Modeling, Working Capital, Operating Expense, Investments

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • P

    Pearson

    Data Science Fundamentals, Part 2

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Model Evaluation, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Probability & Statistics, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming

    Beginner · Specialization · 1 - 4 Weeks

  • G

    Google Cloud

    Summarize Text using SQL and LLMs in BigQuery ML

    Skills you'll gain: LLM Application, Google Cloud Platform, Large Language Modeling, Prompt Engineering, SQL, Machine Learning

    Beginner · Project · Less Than 2 Hours

  • C

    Coursera

    Диверсификация портфеля с помощью корреляционной матрицы

    Skills you'll gain: Correlation Analysis, Portfolio Risk, Portfolio Management, Investments, Financial Analysis, Financial Market

    Intermediate · Guided Project · Less Than 2 Hours

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1…181182183…214

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

  • Recommender Systems Complete Course Beginner to Advanced: Packt
  • Univariate Time Series Analytics & Modeling with EViews: EDUCBA
  • 머신 러닝 프로젝트 구조화: DeepLearning.AI
  • Generative AI: Foundations and Concepts: Northeastern University
  • Foundations of No-Code AI for Real-World Applications: LearnQuest
  • Google Cloud Product Fundamentals 日本語版: Google Cloud
  • Must-Know Concepts - Basic requirements for data analysis: Real Madrid Graduate School Universidad Europea
  • Data Science: Tus Primeros Pasos con Python: Universidades Anáhuac
  • Анализ доходности с EVA: Coursera
  • Data Science Fundamentals, Part 2: Pearson

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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