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  • Statistical Modeling

Statistical Modeling Courses

Statistical modeling courses can help you learn regression analysis, hypothesis testing, and data visualization techniques. You can build skills in interpreting statistical results, validating models, and making predictions based on data. Many courses introduce tools like R, Python, and Excel, that support implementing statistical methods and analyzing datasets effectively.

Popular Statistical Modeling Courses and Certifications


  • P

    Packt

    Data Science Foundations: NumPy, Pandas & Visualization

    Skills you'll gain: Statistical Visualization, Data Presentation, Data Science, Computer Programming

    Beginner · Course · 1 - 3 Months

  • E

    Edureka

    Generative AI Foundations

    Skills you'll gain: Generative Model Architectures, Generative Adversarial Networks (GANs), Autoencoders

    3.8
    Rating, 3.8 out of 5 stars
    ·
    17 reviews

    Beginner · Course · 1 - 4 Weeks

  • E

    Edureka

    Getting Started with TypeScript

    Skills you'll gain: TypeScript, Javascript, Functional Design, Code Reusability, Object Oriented Programming (OOP), Programming Principles, Web Development Tools, Data Structures, Development Environment, Maintainability, Enterprise Application Management

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable machine learning applications: Part 3

    Skills you'll gain: Artificial Neural Networks, Tensorflow, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Machine Learning Software, Deep Learning, Machine Learning, Feature Engineering, Risking, Model Evaluation, Mortgage Loans, Consumer Lending

    4.6
    Rating, 4.6 out of 5 stars
    ·
    29 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • A

    Alberta Machine Intelligence Institute

    Introduction to Generative AI: Concepts and Techniques

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Generative AI, Prompt Patterns, Generative Model Architectures, Large Language Modeling, AI Security, Open Source Technology, Responsible AI, Embeddings, Fine-tuning, Natural Language Processing

    Mixed · Course · 1 - 4 Weeks

  • A

    Arm

    Getting Started with Machine Learning at the Edge on Arm

    Skills you'll gain: Embedded Systems, Tensorflow, Applied Machine Learning, Data Processing, Embedded Software, Data Preprocessing, Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Software, Machine Learning Methods, Artificial Neural Networks, Machine Learning Algorithms, Model Training, Convolutional Neural Networks, Feature Engineering, Computer Vision, Deep Learning, Image Analysis, Machine Learning, Model Deployment

    4.2
    Rating, 4.2 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

  • L

    LearnQuest

    Foundations of Secure IoT Architecture

    Skills you'll gain: Threat Modeling, IT Security Architecture, Threat Management, Security Architecture Review, Internet Of Things, Network Security, Information Systems Security, Security Controls, Data Security, Cryptographic Protocols, Vulnerability Assessments, Risk Management Framework, Cloud Computing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Glasgow

    Deep Learning in Electronic Health Records

    Skills you'll gain: Deep Learning, Data Preprocessing, Autoencoders, Machine Learning Methods, Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Medical Records, Model Optimization, Health Informatics, Electocardiography, Electronic Medical Record, Predictive Modeling, Embeddings, Applied Machine Learning, Data Cleansing, Time Series Analysis and Forecasting, Dimensionality Reduction, Model Evaluation

    4
    Rating, 4 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Snowflake for Data Science: Intro to Snowpark ML for Python

    Skills you'll gain: Model Deployment, Snowflake Schema, Data Preprocessing, Applied Machine Learning, Machine Learning Methods, Model Training, MLOps (Machine Learning Operations), Machine Learning, Predictive Modeling, Data Pipelines, Data Transformation, Data Science, Python Programming, Regression Analysis

    Intermediate · Guided Project · Less Than 2 Hours

  • U

    University of California, Davis

    Digital Innovation: How to Build Digital Processes

    Skills you'll gain: Innovation, Digital Transformation, Digital Communications, digital literacy, Digital Analysis, Process Development, Data Storage, Media and Communications, Fundraising and Crowdsourcing, Social Impact, Artificial Intelligence, AI literacy, Information Privacy, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Colorado System

    Machine Learning for Marketers

    Skills you'll gain: Classification And Regression Tree (CART), AI Personalization, Marketing Analytics, Unsupervised Learning, Customer Analysis, Predictive Analytics, Data-Driven Marketing, Applied Machine Learning, Advanced Analytics, Supervised Learning, Dimensionality Reduction, Business Marketing, Predictive Modeling, Marketing Strategies, Data-Driven Decision-Making, Strategic Marketing, Customer experience improvement, Statistical Machine Learning, Personalized Service, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    Foundations of Local Large Language models

    Skills you'll gain: Retrieval-Augmented Generation, Responsible AI, Generative AI, Cloud Deployment, LLM Application, Model Deployment, Application Deployment, Large Language Modeling, Hugging Face, Data Ethics, Model Evaluation, Risk Management Framework, Rust (Programming Language)

    4.2
    Rating, 4.2 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Data Science Foundations: NumPy, Pandas & Visualization: Packt
  • Generative AI Foundations: Edureka
  • Getting Started with TypeScript: Edureka
  • Interpretable machine learning applications: Part 3: Coursera
  • Introduction to Generative AI: Concepts and Techniques: Alberta Machine Intelligence Institute
  • Getting Started with Machine Learning at the Edge on Arm: Arm
  • Foundations of Secure IoT Architecture: LearnQuest
  • Deep Learning in Electronic Health Records: University of Glasgow
  • Snowflake for Data Science: Intro to Snowpark ML for Python: Coursera
  • Digital Innovation: How to Build Digital Processes: University of California, Davis

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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