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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


  • U

    University of Toronto

    Inclusive Analytic Techniques

    Skills you'll gain: Data Ethics, Data Collection, Quantitative Research, Qualitative Research, Data Analysis, Statistical Analysis, Analytical Skills, Regression Analysis, Focus Group, Correlation Analysis, Diversity and Inclusion, Research Methodologies, Surveys, Business Analytics, Statistical Inference, Sampling (Statistics), Stakeholder Analysis, Probability, Stakeholder Engagement

    4.8
    Rating, 4.8 out of 5 stars
    ·
    85 reviews

    Mixed · Course · 1 - 4 Weeks

  • M

    Macquarie University

    Excel Skills for Business Forecasting

    Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, Model Evaluation, Regression Analysis, Microsoft Excel, Excel Formulas, Trend Analysis, Case Studies, Business Mathematics, Business Metrics, Predictive Modeling, Data Presentation, Statistical Visualization, Graphing, Business Economics, Statistical Modeling, Business Analytics, Decision Making, Process Optimization, Statistical Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    323 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Machine Learning Pipelines with Azure ML Studio

    Skills you'll gain: Model Deployment, Applied Machine Learning, Predictive Modeling, Microsoft Azure, No-Code Development, Machine Learning, Data Preprocessing, Cloud Deployment, Feature Engineering, Model Evaluation, Data Science, Data Analysis, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    826 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • I

    IBM

    Deep Learning and Reinforcement Learning

    Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning, Artificial Intelligence, Computer Vision, Dimensionality Reduction, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    291 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of California, Irvine

    Supply Chain Planning

    Skills you'll gain: Supply Chain Planning, Demand Planning, Customer Demand Planning, Supply Chain Management, Supply Chain, Capacity Planning, Production Planning, Materials Management, Forecasting, Performance Measurement, Microsoft Excel, Data-Driven Decision-Making, Statistical Methods, Key Performance Indicators (KPIs), Data Analysis, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    325 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Introduction to R: Basic R syntax

    Skills you'll gain: R Programming, Arithmetic, Statistical Programming, Development Environment, Programming Principles, Data Import/Export

    4.5
    Rating, 4.5 out of 5 stars
    ·
    50 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • T

    Tableau Learning Partner

    Data Analysis with Tableau

    Skills you'll gain: Exploratory Data Analysis, Tableau Software, Data Preprocessing, Data Analysis, Descriptive Statistics, Predictive Analytics, Box Plots, Statistical Analysis, Scatter Plots, Data Visualization Software, Trend Analysis, Analytics, Histogram, Business Analytics, Data Manipulation, Regression Analysis, Correlation Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    106 reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    Machine Learning Capstone

    Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Data Analysis, Applied Machine Learning, Statistical Analysis, Data Mining, Predictive Modeling, Machine Learning, Technical Communication, Scikit Learn (Machine Learning Library), Regression Analysis, Artificial Neural Networks, Deep Learning, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    196 reviews

    Advanced · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    PyTorch for Deep Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Model Deployment, Convolutional Neural Networks, Transfer Learning, Data Quality, Generative AI, Deep Learning, Image Analysis, MLOps (Machine Learning Operations), Data Pipelines, Embeddings, Applied Machine Learning, Artificial Neural Networks, Model Evaluation, Software Visualization, Computer Vision, Data Preprocessing, Natural Language Processing, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    86 reviews

    Intermediate · Professional Certificate · 1 - 3 Months

  • U

    University of Colorado Boulder

    Algebra and Differential Calculus for Data Science

    Skills you'll gain: Algebra, Calculus, Graphing, Applied Mathematics, Data Science, Derivatives, Numerical Analysis, Mathematical Theory & Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    263 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Compare Stock Returns with Google Sheets

    Skills you'll gain: Risk Analysis, Portfolio Risk, Google Sheets, Financial Analysis, Risk Management, Quantitative Research, Spreadsheet Software, Statistical Analysis, Statistics, Probability & Statistics

    4.3
    Rating, 4.3 out of 5 stars
    ·
    681 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • U

    University of California San Diego

    Design Thinking and Predictive Analytics for Data Products

    Skills you'll gain: Supervised Learning, Feature Engineering, Predictive Modeling, Predictive Analytics, Data Manipulation, Classification Algorithms, Applied Machine Learning, Design Thinking, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Data Cleansing, Data Preprocessing, Regression Analysis, Tensorflow, Statistical Methods, Logistic Regression

    4.5
    Rating, 4.5 out of 5 stars
    ·
    68 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Inclusive Analytic Techniques: University of Toronto
  • Excel Skills for Business Forecasting: Macquarie University
  • Machine Learning Pipelines with Azure ML Studio: Coursera
  • Deep Learning and Reinforcement Learning: IBM
  • Supply Chain Planning: University of California, Irvine
  • Introduction to R: Basic R syntax: Coursera
  • Data Analysis with Tableau: Tableau Learning Partner
  • Machine Learning Capstone: IBM
  • PyTorch for Deep Learning: DeepLearning.AI
  • Algebra and Differential Calculus for Data Science: 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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