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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


  • Status: Free Trial
    Free Trial
    P

    Packt

    Natural Language Processing with Real-World Projects

    Skills you'll gain: Matplotlib, NumPy, Embeddings, Data Visualization, Natural Language Processing, Semantic Web, Data Manipulation, Linear Algebra, Seaborn, Deep Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Text Mining, Data Science, Data Processing, Applied Machine Learning, Unstructured Data, Markov Model, Data Preprocessing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    9 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Pillar #3: Drug Effectiveness - Real-World Evidence

    Skills you'll gain: Clinical Research, Clinical Trials, Pharmacology, Data Collection, Epidemiology, Scientific Methods, Statistical Methods, Analytical Skills, Regression Analysis, Real Time Data

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Нейронные сети и глубокое обучение

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Convolutional Neural Networks, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning

    4.2
    Rating, 4.2 out of 5 stars
    ·
    17 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Artificial Intelligence with Python: Foundations to Projects

    Skills you'll gain: Unsupervised Learning, Seaborn, Matplotlib, Predictive Modeling, Data Preprocessing, Supervised Learning, NumPy, Model Evaluation, Applied Machine Learning, Predictive Analytics, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Scatter Plots, Data Visualization Software, Python Programming, Data Science, Machine Learning, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    31 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Follow a Machine Learning Workflow

    Skills you'll gain: Data Preprocessing, Data Analysis, Data Collection, AI Workflows, Statistical Analysis, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Cleansing, Applied Machine Learning, Predictive Modeling, Machine Learning, Model Evaluation, Descriptive Statistics, Feature Engineering, Machine Learning Algorithms, Process Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    19 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Mastering Portfolio Analysis

    Skills you'll gain: Portfolio Risk, Portfolio Management, Financial Analysis, Financial Data, Analysis, Data Analysis, Risk Management, Quantitative Research, Performance Analysis, Market Data, Financial Modeling, Investments, Asset Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    36 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    A

    Amazon Web Services

    Developing Machine Learning Solutions

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, AI Workflows, Model Deployment, Machine Learning, Applied Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    110 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    A

    Arm

    Introduction to AI

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Model Evaluation, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Computer Science, Deep Learning, Supervised Learning, Applied Machine Learning, Data Ethics, Recurrent Neural Networks (RNNs), Responsible AI, Convolutional Neural Networks, Data Science, Classification Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Scrimba

    Open-source AI Models

    Skills you'll gain: Hugging Face, Model Deployment, Open Source Technology, Responsible AI, Web Applications, Large Language Modeling, Artificial Intelligence

    4.8
    Rating, 4.8 out of 5 stars
    ·
    33 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    Y

    Yonsei University

    Valuation for Startups Using Multiple Approach

    Skills you'll gain: Financial Statements, Financial Statement Analysis, Business Valuation, Income Statement, Entrepreneurial Finance, Balance Sheet, Cash Flows, Financial Analysis, Financial Modeling, Case Studies, Revenue Forecasting

    4.2
    Rating, 4.2 out of 5 stars
    ·
    95 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Interpretable machine learning applications: Part 5

    Skills you'll gain: Model Evaluation, Responsible AI, Exploratory Data Analysis, Predictive Modeling, Data Visualization, Machine Learning, Policy Analysis, Statistical Methods, Data Science, Data Ethics, Development Environment, Software Engineering

    4.5
    Rating, 4.5 out of 5 stars
    ·
    21 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    F

    Fred Hutchinson Cancer Center

    Researcher's Guide to Omic Data

    Skills you'll gain: Bioinformatics, Molecular Biology, Data Processing, Data Analysis, Data Literacy, Exploratory Data Analysis, Laboratory Research, Metadata Management, Science and Research, R Programming, Spatial Data Analysis, Scientific Methods, Data Collection, Data Quality, Research, Quantitative Research, Informatics, Biology, Laboratory Techniques, Analysis

    3.7
    Rating, 3.7 out of 5 stars
    ·
    34 reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Natural Language Processing with Real-World Projects: Packt
  • Pillar #3: Drug Effectiveness - Real-World Evidence: Johns Hopkins University
  • Нейронные сети и глубокое обучение: DeepLearning.AI
  • Artificial Intelligence with Python: Foundations to Projects: EDUCBA
  • Follow a Machine Learning Workflow: CertNexus
  • Mastering Portfolio Analysis : Coursera
  • Developing Machine Learning Solutions: Amazon Web Services
  • Introduction to AI: Arm
  • Open-source AI Models: Scrimba
  • Valuation for Startups Using Multiple Approach: Yonsei University

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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