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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


  • U

    University of Michigan

    Applied Unsupervised Learning in Python

    Skills you'll gain: Unsupervised Learning, Embeddings, Applied Machine Learning, Data Quality, Unstructured Data, Machine Learning Methods, Anomaly Detection, Supervised Learning, Data Preprocessing, Python Programming, Exploratory Data Analysis, Model Evaluation

    ★ 4.8 (6) · Advanced · Course · 1 - 4 Weeks

  • C

    Creo Incubator

    The Entrepreneurial Toolkit

    Skills you'll gain: Go To Market Strategy, Ideation, Growth Strategies, Entrepreneurial Finance, Entrepreneurship, Branding, Market Share, Market Analysis, Brand Strategy, Marketing Strategies, Financial Forecasting, Product Marketing, Creative Problem-Solving, Business Valuation, Marketing Planning, Sales, Fundraising, Business Planning, Mergers & Acquisitions, Critical Thinking and Problem Solving

    Beginner · Specialization · 3 - 6 Months

  • D

    DeepLearning.AI

    Intro to Federated Learning

    Skills you'll gain: Federated Learning, Fine-tuning, AI Security, Large Language Modeling, PyTorch (Machine Learning Library), Model Optimization, Information Privacy, LLM Application, Model Training, Distributed Computing, Machine Learning

    ★ 4.5 (14) · Beginner · Project · Less Than 2 Hours

  • G

    Google Cloud

    Preparing for the Google Cloud Professional Data Engineer Exam en Español

    Skills you'll gain: Data Processing, Systems Design, Data Pipelines, Data Infrastructure, Google Cloud Platform, Quality Assurance, Data Modeling, Data Compilation, Statistical Reporting, Interactive Data Visualization, MLOps (Machine Learning Operations), Model Deployment, Data Quality, Database Development, Applied Machine Learning, Data Maintenance, Cloud Security, Machine Learning

    Advanced · Course · 1 - 3 Months

  • B

    Board Infinity

    Introduction to Continuous Improvement Process

    Skills you'll gain: Statistical Process Controls, Product Quality (QA/QC), Quality Management, Quality Management Systems, Quality Improvement, ISO 9000 Series, Quality Assessment, Quality Monitoring, Continuous Improvement Process, Service Improvement, Continuous Quality Improvement (CQI), Customer experience improvement, Quality Assurance, Quality Control, Customer experience strategy (CX), Process Improvement, Technical Standard, User Feedback, Customer Insights, Customer Engagement

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    AI Engineer Professional

    Skills you'll gain: MLOps (Machine Learning Operations), Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Fine-tuning, Containerization, Model Optimization, AI Workflows, Model Evaluation, Model Deployment, Generative AI Agents, LangGraph, Keras (Neural Network Library), Agentic Workflows, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, Image Analysis, Large Language Modeling, Natural Language Processing, Python Programming

    Advanced · Specialization · 1 - 3 Months

  • G

    Google Cloud

    Gemini for Data Scientists and Analysts

    Skills you'll gain: Google Gemini, Gemini, Big Data, Google Cloud Platform, Marketing Analytics, Generative AI, Data-Driven Marketing, Applied Machine Learning, Data Analysis, Predictive Analytics, Forecasting, Predictive Modeling, Query Languages, SQL

    ★ 4.1 (9) · Beginner · Course · 1 - 4 Weeks

  • A

    Arm

    Introduction to AI

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Model Training, Artificial Intelligence, Model Evaluation, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Deep Learning, Supervised Learning, Data Ethics, Large Language Modeling, Responsible AI, AI literacy, Data Science

    ★ 4.7 (10) · Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Build AI Apps Like a Pro: No-Code Tools for Beginners

    Skills you'll gain: AI Integrations, User Story, Prompt Engineering, No-Code Development, User Feedback, Technical Communication, Application Deployment, Performance Tuning, Data Wrangling, Version Control, Business Process Automation, DevSecOps, Site Reliability Engineering, Integration Testing, Application Security, Application Programming Interface (API), Agile Methodology, LLM Application, Data Integration, Scalability

    ★ 3 (6) · Intermediate · Specialization · 3 - 6 Months

  • 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 (8) · Intermediate · Course · 1 - 4 Weeks

  • N

    Northeastern University

    Industrial Optimization: Models & Linear Programming

    Skills you'll gain: Operations Research, Applied Mathematics, Mathematical Software, Operational Analysis, Linear Algebra, Mathematical Modeling, Algorithms, Model Optimization

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Glasgow

    Explainable Deep Learning Models for Healthcare

    Skills you'll gain: Autoencoders, Deep Learning, Model Evaluation, Recurrent Neural Networks (RNNs), Machine Learning, Applied Machine Learning, Responsible AI, Convolutional Neural Networks, Software Visualization, Artificial Neural Networks

    ★ 4.6 (15) · Intermediate · Course · 1 - 4 Weeks

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

  • Applied Unsupervised Learning in Python: University of Michigan
  • The Entrepreneurial Toolkit: Creo Incubator
  • Intro to Federated Learning: DeepLearning.AI
  • Preparing for the Google Cloud Professional Data Engineer Exam en Español: Google Cloud
  • Introduction to Continuous Improvement Process: Board Infinity
  • AI Engineer Professional: Packt
  • Gemini for Data Scientists and Analysts: Google Cloud
  • Introduction to AI: Arm
  • Build AI Apps Like a Pro: No-Code Tools for Beginners: Coursera
  • Deep Learning in Electronic Health Records: University of Glasgow

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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