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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


  • U

    University of Maryland, College Park

    Cómo manejar datos faltantes

    Skills you'll gain: Sampling (Statistics), Data Analysis Software, Stata, Data Manipulation, Statistical Analysis, Statistical Software, Statistical Methods, Regression Analysis, Data Integrity, R (Software), R Programming, Statistical Modeling

    Mixed · Course · 1 - 3 Months

  • H

    Howard University

    Business Modeling Tools

    Skills you'll gain: Regression Analysis, Financial Modeling, Business Modeling, Business Analytics, Statistical Analysis, Spreadsheet Software, Forecasting, Data Analysis, Microsoft Excel, Predictive Modeling, Business Strategy

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Forecast bikeshare demand using time series models in R

    Skills you'll gain: R Programming, R (Software), Data Visualization, Time Series Analysis and Forecasting, Interactive Data Visualization, Tidyverse (R Package), Data-Driven Decision-Making, Trend Analysis, Rmarkdown, Data Analysis, Predictive Modeling, Data Cleansing, Data Manipulation, Forecasting, Business Strategy, Demand Planning, Data Preprocessing, Model Evaluation, Machine Learning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    11 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Diabetes Disease Detection with XG-Boost and Neural Networks

    Skills you'll gain: Artificial Neural Networks, Data Visualization, Exploratory Data Analysis, Data Presentation, Applied Machine Learning, Classification Algorithms, Machine Learning Methods, Predictive Modeling, Deep Learning, Classification And Regression Tree (CART), Data Analysis, Predictive Analytics, Machine Learning Algorithms, Model Evaluation, Machine Learning, Feature Engineering, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    10 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    General AI Mastery Toolbox: Master AI and Drive Success

    Skills you'll gain: OpenAI, AI Enablement, Artificial Intelligence, AI Product Strategy, Generative AI, Emerging Technologies, ChatGPT, Responsible AI, Machine Learning, Natural Language Processing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    20 reviews

    Beginner · 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

  • S

    SkillUp

    The DMAIC Framework - Define and Measure Phase

    Skills you'll gain: Process Capability, Statistical Analysis, Data Analysis, Project Management, Project Planning, Six Sigma Methodology, Statistics, Work Breakdown Structure, Lean Six Sigma, Data Collection, Project Scoping, Performance Measurement, Process Improvement, Quality Management, Customer experience improvement, Quality Control, Process Mapping

    4.8
    Rating, 4.8 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 3 Months

  • 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

  • C

    Coursera

    Advanced Project Operations & Automation

    Skills you'll gain: Earned Value Management, Workflow Management, Business Process Automation, Change Management, Project Management, Project Controls, Performance Measurement, Automation, Predictive Modeling, AI Enablement, Strategic Communication, Data-Driven Decision-Making, Risk Analysis, Process Improvement and Optimization, Process Optimization, Analytics, Cloud-Based Integration, Generative AI, Systems Integration, Machine Learning

    Advanced · Specialization · 3 - 6 Months

  • W

    Whizlabs

    AWS: Machine Learning & MLOps Foundations

    Skills you'll gain: MLOps (Machine Learning Operations), Data Preprocessing, AWS SageMaker, Model Evaluation, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Predictive Modeling, Machine Learning, Supervised Learning, Data Transformation, Unsupervised Learning, Classification Algorithms

    4.3
    Rating, 4.3 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Mastering Software Development in R Capstone

    Skills you'll gain: Software Documentation, Leaflet (Software), Data Preprocessing, Technical Documentation, Data Cleansing, Data Visualization Software, Code Review, R Programming, GitHub, Continuous Integration, Software Testing

    4
    Rating, 4 out of 5 stars
    ·
    44 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Cómo manejar datos faltantes: University of Maryland, College Park
  • Business Modeling Tools: Howard University
  • Forecast bikeshare demand using time series models in R: Coursera
  • Diabetes Disease Detection with XG-Boost and Neural Networks: Coursera
  • General AI Mastery Toolbox: Master AI and Drive Success: Coursera
  • Applied Machine Learning: Johns Hopkins University
  • The DMAIC Framework - Define and Measure Phase: SkillUp
  • Applied NLP and Generative AI: Packt
  • Scikit-Learn to Solve Regression Machine Learning Problems: Coursera
  • Advanced Project Operations & Automation: 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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