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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


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    EDUCBA

    Equity Research Report Writing: Analyze & Structure

    Skills you'll gain: Research Reports, Report Writing, Case Studies, Business Writing, Technical Writing, Market Data, Analysis, Data Analysis, Financial Analysis, Data Presentation, Concision, Financial Modeling, Target Audience

    5
    Rating, 5 out of 5 stars
    ·
    19 reviews

    Mixed · Course · 1 - 4 Weeks

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    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
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    6 reviews

    Intermediate · Course · 1 - 4 Weeks

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    U

    University of Leeds

    How to Get Into AI

    Skills you'll gain: Responsible AI, AI Enablement, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), digital literacy, Machine Learning

    3.9
    Rating, 3.9 out of 5 stars
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    11 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
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    DeepLearning.AI

    Quantization in Depth

    Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
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    6 reviews

    Intermediate · Project · Less Than 2 Hours

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    DeepLearning.AI

    Réseaux neuronaux et Deep Learning

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

    4.9
    Rating, 4.9 out of 5 stars
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    18 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    R

    Rice University

    Einführung in die Datenanalyse mit Excel

    Skills you'll gain: Microsoft Excel, Graphing, Spreadsheet Software, Pivot Tables And Charts, Excel Formulas, Data Analysis, Data Import/Export, Scatter Plots, Histogram, Data Presentation, Data Manipulation

    Mixed · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Dashboard Development with Shiny: GenAI for Retail Analysis

    Skills you'll gain: Shiny (R Package), Data Visualization, Interactive Data Visualization, Dashboard, Data Visualization Software, R Programming, Data Wrangling, User Interface (UI) Design, Ggplot2, Data Manipulation, Data Integration, Data Import/Export

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    U

    University of Colorado Boulder

    BiteSize Python: NumPy and Pandas

    Skills you'll gain: Pandas (Python Package), NumPy, Data Structures, Data Import/Export, Data Manipulation, Data Cleansing, Statistical Methods, Data Analysis, Exploratory Data Analysis

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Case Western Reserve University

    Basic Principles of Geostatistical Geospatial Modeling

    Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Mapping, Geospatial Information and Technology, Statistical Modeling, R Programming, Statistical Analysis, Probability & Statistics, Data Analysis, Data-Driven Decision-Making, Regression Analysis, Correlation Analysis, Data Validation, Histogram, Box Plots, Simulation and Simulation Software, Model Evaluation

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    K-Means Clustering 101: World Happiness Report

    Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Plotly, Data Visualization, Machine Learning, Social Sciences, Socioeconomics, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Exploratory Data Analysis, Data Analysis, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    20 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    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: Free Trial
    Free Trial
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    Google Cloud

    Smart Analytics, Machine Learning, and AI on GCP 日本語版

    Skills you'll gain: Model Deployment, Google Cloud Platform, MLOps (Machine Learning Operations), Big Data, Unstructured Data, Tensorflow, Analytics, Jupyter, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Image Analysis

    4.5
    Rating, 4.5 out of 5 stars
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    31 reviews

    Intermediate · Course · 1 - 3 Months

Searches related to statistical inference

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1…137138139…183

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

  • Equity Research Report Writing: Analyze & Structure: EDUCBA
  • 신경망 및 딥 러닝: DeepLearning.AI
  • How to Get Into AI: University of Leeds
  • Quantization in Depth: DeepLearning.AI
  • Réseaux neuronaux et Deep Learning: DeepLearning.AI
  • Einführung in die Datenanalyse mit Excel: Rice University
  • Dashboard Development with Shiny: GenAI for Retail Analysis: Coursera
  • BiteSize Python: NumPy and Pandas: University of Colorado Boulder
  • Basic Principles of Geostatistical Geospatial Modeling: Case Western Reserve University
  • K-Means Clustering 101: World Happiness Report: 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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