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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
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    Fractal Analytics

    Foundations of Machine Learning

    Skills you'll gain: Model Evaluation, Model Deployment, Machine Learning, Supervised Learning, Regression Analysis, Decision Tree Learning, Feature Engineering, Data Preprocessing, Unsupervised Learning, Predictive Modeling, Logistic Regression, Anomaly Detection, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
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    13 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    G

    Google Cloud

    Introduction to Generative AI - Italiano

    Skills you'll gain: Generative AI, Google Gemini, Artificial Intelligence, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
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    19 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    EDUCBA

    Master Quality Management: Apply SPC, Six Sigma & Lean

    Skills you'll gain: Statistical Process Controls, Six Sigma Methodology, Lean Methodologies, Quality Management, Quality Improvement, Kaizen Methodology, Quality Control, Brainstorming, Benchmarking, Process Improvement, Run Chart, Continuous Improvement Process, Pareto Chart, Root Cause Analysis

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
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    N

    Northeastern University

    Machine Learning for Engineers: Algorithms and Applications

    Skills you'll gain: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Classification Algorithms, Algorithms, Predictive Modeling, Dimensionality Reduction, Complex Problem Solving

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Maryland, College Park

    Digital Marketing Analytics

    Skills you'll gain: Pay Per Click Advertising, Marketing Analytics, Web Analytics, Search Engine Optimization, Analytics, Digital Marketing, Data-Driven Decision-Making, A/B Testing, Data Analysis, Contextual Advertising, Big Data, Key Performance Indicators (KPIs), Customer Data Management, Predictive Analytics, Artificial Intelligence and Machine Learning (AI/ML), Consumer Behaviour, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
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    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    Whizlabs

    Exam Prep MLA-C01: AWS Machine Learning Engineer Assocaite

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Feature Engineering, AI Personalization, Model Deployment, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning

    4
    Rating, 4 out of 5 stars
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    8 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    S

    SAS

    Data Literacy Essentials

    Skills you'll gain: Data-Driven Decision-Making, Data Presentation, Data Storytelling, Data Literacy, Data Analysis, Trend Analysis, Data Ethics, Analytical Skills, Investigation, Decision Making

    4.2
    Rating, 4.2 out of 5 stars
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    15 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    P

    Packt

    Foundations of ML & Python for Data Science

    Skills you'll gain: Model Evaluation, Data Manipulation, Python Programming, Probability & Statistics, Applied Machine Learning, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Machine Learning, Probability Distribution

    Beginner · Course · 1 - 4 Weeks

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

    Pearson

    Data Science Fundamentals Part 2: Unit 3

    Skills you'll gain: Predictive Modeling, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Statistical Inference, Business Analytics, Data Analysis, Statistical Analysis, Probability Distribution, Estimation, Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    C

    Coursera

    GenAI for Data Scientists

    Skills you'll gain: Generative AI, Responsible AI, Data Ethics, Data Quality, Data Strategy, AI Enablement, Applied Machine Learning, Exploratory Data Analysis, Machine Learning, Machine Learning Methods

    4.6
    Rating, 4.6 out of 5 stars
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    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Fred Hutchinson Cancer Center

    Researcher's guide to omic fundamentals

    Skills you'll gain: Bioinformatics, Molecular Biology, Data Processing, Data Analysis, Data Literacy, Exploratory Data Analysis, Metadata Management, R Programming, Scientific Methods, Data Quality

    3.8
    Rating, 3.8 out of 5 stars
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    18 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Simplilearn

    AI ML with Deep Learning and Supervised Models

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning, Decision Tree Learning, Predictive Analytics, Regression Analysis

    4
    Rating, 4 out of 5 stars
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    10 reviews

    Beginner · Specialization · 1 - 3 Months

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

  • Foundations of Machine Learning : Fractal Analytics
  • Introduction to Generative AI - Italiano: Google Cloud
  • Master Quality Management: Apply SPC, Six Sigma & Lean: EDUCBA
  • Machine Learning for Engineers: Algorithms and Applications: Northeastern University
  • Digital Marketing Analytics: University of Maryland, College Park
  • Exam Prep MLA-C01: AWS Machine Learning Engineer Assocaite: Whizlabs
  • Data Literacy Essentials: SAS
  • Foundations of ML & Python for Data Science: Packt
  • Data Science Fundamentals Part 2: Unit 3: Pearson
  • GenAI for Data Scientists: 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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