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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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    DeepLearning.AI

    Structurer des projets d’apprentissage automatique

    Skills you'll gain: Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Debugging, Deep Learning, Machine Learning, Model Evaluation, Data Science, Performance Tuning

    Beginner · Course · 1 - 4 Weeks

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    Alberta Machine Intelligence Institute

    실용 머신 러닝 소개

    Skills you'll gain: Data Ethics, Machine Learning, Applied Machine Learning, Data Preprocessing, Business Priorities, Training Records Management, Product Lifecycle Management, Machine Learning Methods, Data Collection, AI Enablement, Business Process, Case Studies

    Intermediate · Course · 1 - 4 Weeks

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    Johns Hopkins University

    Data Science Decisions in Time: Information Theory & Games

    Skills you'll gain: Game Theory, Data-Driven Decision-Making, Cybersecurity, Data Science, Algorithms, Reinforcement Learning, AI Security, Machine Learning

    Intermediate · Course · 1 - 3 Months

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    University of Washington

    머신 러닝 기초: 사례 연구 접근 방식

    Skills you'll gain: Model Evaluation, Regression Analysis, Applied Machine Learning, Machine Learning, Deep Learning, Jupyter, Supervised Learning, Predictive Analytics, Classification Algorithms, Image Analysis, Unsupervised Learning, Computer Vision, Text Mining, Natural Language Processing, Python Programming

    Mixed · Course · 1 - 3 Months

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    University of Pennsylvania

    Deep Learning Essentials

    Skills you'll gain: Data Preprocessing, PyTorch (Machine Learning Library), Deep Learning, Artificial Neural Networks, Machine Learning Algorithms, Supervised Learning, Machine Learning, Artificial Intelligence

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Case Western Reserve University

    Using R for Geostatistical Geospatial Modeling

    Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Analysis, Spatial Data Analysis, Descriptive Statistics, Box Plots, Statistical Modeling, R Programming, Plot (Graphics), Rmarkdown, Data Analysis, Data Cleansing, Statistical Methods, Simulations

    Intermediate · Course · 1 - 3 Months

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    Illinois Tech

    Predictive Analytics

    Skills you'll gain: Predictive Analytics, Advanced Analytics, Data Cleansing, Unsupervised Learning, Data Analysis, Data Mining, Classification Algorithms, Supervised Learning, Decision Tree Learning, Machine Learning, Artificial Neural Networks

    Intermediate · Course · 1 - 3 Months

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    Coursera

    GenAI for AWS: AI-Driven Cloud Automation & Scaling

    Skills you'll gain: Amazon Bedrock, Cloud Computing Architecture, AI Workflows, Generative AI, Cloud Engineering, Amazon Web Services, Cloud Development, Cloud Computing, Applied Machine Learning, Cloud Deployment, Cloud Security, Amazon CloudWatch, Large Language Modeling, AWS Identity and Access Management (IAM), Performance Tuning, Scalability

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Preparing for the Google Cloud Professional Data Engineer Exam en Español

    Skills you'll gain: Data Processing, Data Pipelines, Data Infrastructure, Google Cloud Platform, Data Warehousing, MLOps (Machine Learning Operations), Data Visualization, Model Deployment, Data Quality, Cloud Engineering, Scalability, Data Storage, Cloud Security, Machine Learning, SQL

    Advanced · Course · 1 - 3 Months

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    University of Colorado Boulder

    Unsupervised Text Classification for Marketing Analytics

    Skills you'll gain: Unsupervised Learning, Unstructured Data, Marketing Analytics, Text Mining, Deep Learning, Model Evaluation, Machine Learning, JSON, Data Processing, Natural Language Processing, Data Preprocessing, Exploratory Data Analysis, Python Programming

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free
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    Coursera

    Scripting with Alteryx: Python and R for Advanced Workflows

    Skills you'll gain: Alteryx, Predictive Modeling, People Analytics, Scripting, R Programming, Predictive Analytics, HR Tech, Data Science, Advanced Analytics, Scripting Languages, Trend Analysis, Data Preprocessing, Data Integration, Exploratory Data Analysis, Applied Machine Learning, Data Manipulation, Data Visualization Software, Data Analysis, Model Evaluation, Machine Learning

    Intermediate · Guided Project · Less Than 2 Hours

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    Coursera

    Explore and Visualize Data the Python Way

    Skills you'll gain: Data Storytelling, Data Presentation, Plotly, Matplotlib, Exploratory Data Analysis, Plot (Graphics), Data Visualization, Interactive Data Visualization, Data Visualization Software, Statistical Visualization, Seaborn, Data Analysis, Box Plots, Descriptive Statistics, Jupyter, Data Science, Anomaly Detection, Python Programming, GitHub

    Beginner · Course · 1 - 4 Weeks

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

  • Structurer des projets d’apprentissage automatique: DeepLearning.AI
  • 실용 머신 러닝 소개: Alberta Machine Intelligence Institute
  • Data Science Decisions in Time: Information Theory & Games: Johns Hopkins University
  • 머신 러닝 기초: 사례 연구 접근 방식: University of Washington
  • Deep Learning Essentials: University of Pennsylvania
  • Using R for Geostatistical Geospatial Modeling : Case Western Reserve University
  • Predictive Analytics: Illinois Tech
  • GenAI for AWS: AI-Driven Cloud Automation & Scaling: Coursera
  • Preparing for the Google Cloud Professional Data Engineer Exam en Español: Google Cloud
  • Unsupervised Text Classification for Marketing Analytics: University of Colorado Boulder

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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