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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.


Popular Statistical Inference Courses and Certifications


  • Status: Free Trial
    Free Trial
    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, Applied Machine Learning, Supervised Learning, Dimensionality Reduction, Marketing Effectiveness, Marketing Strategies, Data-Driven Decision-Making, Strategic Marketing, Campaign Management, Customer experience improvement, Personalized Service, Customer Insights, Model Evaluation, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Supervised Text Classification for Marketing Analytics

    Skills you'll gain: Supervised Learning, Deep Learning, Scikit Learn (Machine Learning Library), Machine Learning, Tensorflow, Transfer Learning, Text Mining, Model Evaluation, Predictive Modeling, Data Manipulation, Marketing Analytics, Python Programming, Feature Engineering, Google Cloud Platform, Classification Algorithms, Artificial Neural Networks, Performance Metric

    Build toward a degree

    3.1
    Rating, 3.1 out of 5 stars
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    14 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Identifying the Right Role for Yourself

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning, Data Science, Data Analysis, Data Architecture, Big Data, Analytical Skills, Business Analysis, Business Analytics, Cloud Computing Architecture, Cloud Engineering

    4.8
    Rating, 4.8 out of 5 stars
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    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    R 프로그래밍

    Skills you'll gain: R Programming, Statistical Programming, Statistical Analysis, Data Analysis Software, Debugging, Software Installation, Simulations, Integrated Development Environments, Programming Principles, Data Manipulation, Program Development, Data Import/Export, Performance Tuning, File I/O

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    NumPy, Matplotlib & Pandas – Data Science Prerequisites

    Skills you'll gain: NumPy, Plot (Graphics), Pandas (Python Package), Scientific Visualization, Data Manipulation, Scatter Plots, Machine Learning, Data Science, Data Analysis Software, Histogram, Numerical Analysis, Linear Algebra, Probability Distribution, Classification Algorithms, Regression Analysis

    4.9
    Rating, 4.9 out of 5 stars
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    7 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Washington

    머신 러닝: 회귀 모델

    Skills you'll gain: Model Evaluation, Regression Analysis, Supervised Learning, Machine Learning, Predictive Modeling, Applied Machine Learning, Feature Engineering, Data Preprocessing, Statistical Methods, Python Programming, Linear Algebra, Algorithms

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    신경망 및 딥 러닝

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Convolutional Neural Networks, Supervised Learning, Applied Machine Learning, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning, NumPy, Performance Tuning, Linear Algebra

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Machine Learning Implementation and Operations in AWS

    Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Model Deployment, Scalability, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Technical Design, Amazon Elastic Compute Cloud, Cloud Security, Data Management, Disaster Recovery, Continuous Monitoring

    4.3
    Rating, 4.3 out of 5 stars
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    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Quick Start Guide to Large Language Models (LLMs)

    Skills you'll gain: Prompt Engineering, Large Language Modeling, LLM Application, Retrieval-Augmented Generation, ChatGPT, Natural Language Processing, Generative AI Agents, OpenAI API, Model Deployment, Embeddings, Transfer Learning, Generative Model Architectures, Multimodal Prompts, Generative AI, Cloud Deployment, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Cost Management, Machine Learning

    Intermediate · Specialization · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Responsible AI for Developers: Interpretability & Transparency

    Skills you'll gain: Responsible AI, Machine Learning, Artificial Intelligence, Interoperability, Model Evaluation, Data Ethics, Model Deployment

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    O

    O.P. Jindal Global University

    Supervised Learning and Its Applications in Marketing

    Skills you'll gain: Marketing Analytics, Supervised Learning, Customer Analysis, Customer Retention, Applied Machine Learning, Predictive Analytics, Marketing, Scikit Learn (Machine Learning Library), Marketing Strategies, Machine Learning, Model Deployment, Predictive Modeling, Python Programming, Personalized Service, Data Preprocessing, Model Evaluation

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Français

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Model Deployment, Keras (Neural Network Library), Model Evaluation, Exploratory Data Analysis, Data Quality, Data Cleansing, Data Preprocessing, Google Cloud Platform, Machine Learning, Logistic Regression, Data Pipelines, Data Strategy, Machine Learning Algorithms, Performance Tuning, MLOps (Machine Learning Operations), Artificial Neural Networks, Applied Machine Learning

    4.2
    Rating, 4.2 out of 5 stars
    ·
    30 reviews

    Intermediate · Specialization · 3 - 6 Months

Searches related to statistical inference

improving your statistical inferences
data science foundations: statistical inference
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1…129130131…184

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

  • Machine Learning for Marketers: University of Colorado System
  • Supervised Text Classification for Marketing Analytics: University of Colorado Boulder
  • Identifying the Right Role for Yourself: University of California, Irvine
  • R 프로그래밍: Johns Hopkins University
  • NumPy, Matplotlib & Pandas – Data Science Prerequisites: Packt
  • 머신 러닝: 회귀 모델: University of Washington
  • 신경망 및 딥 러닝: DeepLearning.AI
  • Machine Learning Implementation and Operations in AWS: Whizlabs
  • Quick Start Guide to Large Language Models (LLMs): Pearson
  • Responsible AI for Developers: Interpretability & Transparency: Google Cloud

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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