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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


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    Board Infinity

    Real-World Applications & Model Deployment in Java

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Model Deployment, Jenkins, AI Security, Applied Machine Learning, Java, Continuous Deployment, Federated Learning, Artificial Intelligence, Machine Learning, Spring Framework, Application Deployment, Reinforcement Learning, Spring Boot, Enterprise Application Management

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    GenAI for Writing and Auditing VBA Macros in Finance

    Skills you'll gain: Excel Macros, Financial Modeling, Prompt Engineering, Financial Forecasting, Accounting and Finance Software, Generative AI, Automation, Process Optimization, General Finance, Microsoft Excel, Excel Formulas, Simulation and Simulation Software, Visual Basic (Programming Language), Financial Reporting, Financial Planning

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Introduction to AI and Machine Learning on GC - 日本語版

    Skills you'll gain: Generative AI, Prompt Engineering, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Big Data, Model Deployment, Machine Learning, Data Preprocessing, Natural Language Processing

    Beginner · Course · 1 - 3 Months

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    Microsoft

    Mastering Data Wrangling with dplyr

    Skills you'll gain: Data Manipulation, Data Transformation, Tidyverse (R Package), Data Wrangling, R Programming, Exploratory Data Analysis, Data Analysis, Data Cleansing

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Zero-Shot & Few-Shot Learning: Master AI with Minimal Data

    Skills you'll gain: Prompt Engineering, Embeddings, Transfer Learning, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Fraud detection, Applied Machine Learning, Small Data, Machine Learning, Image Analysis, Natural Language Processing

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Credit Derivatives: Analyze, Price & Apply

    Skills you'll gain: Credit Risk, Derivatives, Finance, Case Studies, Financial Analysis, Risk Analysis, Financial Modeling, Portfolio Risk, Financial Market, Risk Management, Capital Markets, Mathematical Modeling, Probability

    Mixed · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - 简体中文

    Skills you'll gain: Google Cloud Platform, Generative AI, MLOps (Machine Learning Operations), Model Deployment, Tensorflow, AI Workflows, Artificial Intelligence, Cloud Infrastructure, Machine Learning, Natural Language Processing

    Beginner · Course · 1 - 3 Months

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    Microsoft

    Advanced Data Applications and Integration

    Skills you'll gain: Rmarkdown, Web Scraping, Geospatial Information and Technology, Microsoft Azure, Cloud Storage, Interactive Data Visualization, R Programming, Data Collection, Cloud Services, Data Manipulation, Data Science, Data Visualization Software, Data Integration, Data Analysis, Data Ethics, Application Programming Interface (API)

    Beginner · Course · 1 - 3 Months

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    Pearson

    Data Science Fundamentals Part 1: Unit 3

    Skills you'll gain: Data Validation, Extract, Transform, Load, Object-Relational Mapping, Data Cleansing, Data Manipulation, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Database Management, Data Transformation, Data Integrity, Relational Databases, Exploratory Data Analysis, Databases, Data Processing, SQL, Data Persistence, Data Analysis

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Data and Machine Learning for Technical Product Managers

    Skills you'll gain: Model Evaluation, Technical Communication, Technical Product Management, Workflow Management, Performance Metric, Data Analysis, Agile Methodology, Project Management, Stakeholder Communications, Communication, Data-Driven Decision-Making, Machine Learning, R Programming, Data Visualization

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Implementando modelo Computer Vision en Amazon Sagemaker

    Skills you'll gain: Model Deployment, Amazon Web Services, Cloud Deployment, Computer Vision, Cloud Computing, Application Deployment, Machine Learning

    Beginner · Guided Project · Less Than 2 Hours

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    EDUCBA

    Logistic Regression with R: Build & Predict

    Skills you'll gain: Logistic Regression, Model Evaluation, Data Preprocessing, Predictive Modeling, R Programming, Feature Engineering, Statistical Modeling, Risk Modeling, Classification And Regression Tree (CART), Applied Machine Learning, Regression Analysis, Predictive Analytics, Advanced Analytics, Machine Learning Methods, Data Manipulation, Supervised Learning, Performance Measurement, Credit Risk, Dimensionality Reduction

    Mixed · Course · 1 - 4 Weeks

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

  • Real-World Applications & Model Deployment in Java : Board Infinity
  • GenAI for Writing and Auditing VBA Macros in Finance: Coursera
  • Introduction to AI and Machine Learning on GC - 日本語版: Google Cloud
  • Mastering Data Wrangling with dplyr: Microsoft
  • Zero-Shot & Few-Shot Learning: Master AI with Minimal Data: Coursera
  • Credit Derivatives: Analyze, Price & Apply: EDUCBA
  • Introduction to AI and Machine Learning on GC - 简体中文: Google Cloud
  • Advanced Data Applications and Integration: Microsoft
  • Data Science Fundamentals Part 1: Unit 3: Pearson
  • Data and Machine Learning for Technical Product Managers: Coursera

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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