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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


  • U

    University of Colorado Boulder

    Product Innovation Management

    Skills you'll gain: Product Development, Product Strategy, Sustainable Business, Product Management, Marketing, Sustainable Design, New Product Development, Product Lifecycle Management, Commercialization, Marketing Strategies, Business Marketing, Presentations, Corporate Sustainability, Market Dynamics, Financial Analysis, Financial Modeling, Business Metrics, Cash Flows

    Build toward a degree

    5
    Rating, 5 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 3 Months

  • W

    Whizlabs

    NVIDIA: Fundamentals of Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Deep Learning, Transfer Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Classification Algorithms, Machine Learning, Supervised Learning, Data Processing, Linear Algebra

    4.4
    Rating, 4.4 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 4 Weeks

  • N

    Northeastern University

    Data Analytics Engineering: Probability & Techniques

    Skills you'll gain: Time Series Analysis and Forecasting, Exploratory Data Analysis, Data Analysis, Data Wrangling, Probability & Statistics, Unsupervised Learning, Text Mining, Data Manipulation, Statistical Analysis, Data Preprocessing, Data Structures, Data Cleansing, Python Programming

    Mixed · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Applied Machine Learning

    Skills you'll gain: Computer Vision, Model Evaluation, PyTorch (Machine Learning Library), Supervised Learning, Unsupervised Learning, Image Analysis, Applied Machine Learning, Data Preprocessing, Dimensionality Reduction, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Convolutional Neural Networks, Regression Analysis, Machine Learning, Predictive Modeling, Data Mining, Data Cleansing, Deep Learning, Artificial Neural Networks

    3.6
    Rating, 3.6 out of 5 stars
    ·
    15 reviews

    Intermediate · Specialization · 3 - 6 Months

  • N

    Northeastern University

    AI Innovation in Healthcare

    Skills you'll gain: Generative AI, Large Language Modeling, Supervised Learning, Applied Machine Learning, Artificial Intelligence, Responsible AI, Machine Learning, Healthcare Industry Knowledge, Data Ethics, AI Personalization, Predictive Analytics, Precision Medicine, Health Informatics

    3.2
    Rating, 3.2 out of 5 stars
    ·
    6 reviews

    Mixed · Course · 1 - 4 Weeks

  • U

    University of Maryland, College Park

    AI for Business Leaders

    Skills you'll gain: AI Personalization, Responsible AI, Deep Learning, Forecasting, Business Leadership, Risk Management, Business Analytics, Machine Learning, Analytics, Artificial Intelligence, Marketing Analytics, Applied Machine Learning, Customer Analysis, Supply Chain Management, Data-Driven Decision-Making, Big Data, People Analytics

    Intermediate · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Trees, SVM and Unsupervised Learning

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Artificial Neural Networks, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Random Forest Algorithm, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Statistics

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Applied NLP and Generative AI

    Skills you'll gain: Prompt Engineering, Vector Databases, Retrieval-Augmented Generation, Model Evaluation, Hugging Face, Generative AI, Dimensionality Reduction, Natural Language Processing, OpenAI API, Data Preprocessing, Embeddings, Classification Algorithms, Large Language Modeling, OpenAI, Text Mining, Applied Machine Learning, LLM Application, Statistical Machine Learning, Data Processing, Multilingualism

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Scikit-Learn to Solve Regression Machine Learning Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Predictive Analytics, Python Programming, Classification Algorithms, Machine Learning, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Preparing for the Google Cloud Professional Data Engineer Exam 日本語版

    Skills you'll gain: MLOps (Machine Learning Operations), Data Processing, Model Deployment, Data Pipelines, Systems Design, Google Cloud Platform, Analytics, Database Development, Data Infrastructure, Cloud Engineering, Data Architecture, Data Analysis, Security Controls, Machine Learning, Data Visualization, Data Storage Technologies, Scalability, Disaster Recovery

    4.7
    Rating, 4.7 out of 5 stars
    ·
    14 reviews

    Advanced · Course · 1 - 3 Months

  • M

    Meta

    Prepare for the Meta Marketing Science Certification Exam

    Skills you'll gain: Marketing Analytics, Analytics, Marketing, Data Analysis, Resource Utilization, Marketing Effectiveness, Registration, Statistical Methods, Digital Marketing, Social Media Marketing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Learning with Real-World Projects

    Skills you'll gain: Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Matplotlib, Convolutional Neural Networks, Linear Algebra, Image Analysis, Data Visualization, NumPy, Machine Learning Algorithms, Keras (Neural Network Library), Pandas (Python Package), Seaborn, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Applied Machine Learning, Tensorflow, Data Analysis, Artificial Intelligence, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    7 reviews

    Beginner · Specialization · 3 - 6 Months

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1…144145146…214

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

  • Product Innovation Management: University of Colorado Boulder
  • NVIDIA: Fundamentals of Deep Learning: Whizlabs
  • Data Analytics Engineering: Probability & Techniques: Northeastern University
  • Applied Machine Learning: Johns Hopkins University
  • AI Innovation in Healthcare: Northeastern University
  • AI for Business Leaders: University of Maryland, College Park
  • Trees, SVM and Unsupervised Learning: University of Colorado Boulder
  • Applied NLP and Generative AI: Packt
  • Scikit-Learn to Solve Regression Machine Learning Problems: Coursera
  • Preparing for the Google Cloud Professional Data Engineer Exam 日本語版: Google Cloud

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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