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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
    C

    Case Western Reserve University

    Practical Geospatial Geostatistical Modeling

    Skills you'll gain: Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Mapping, Geospatial Information and Technology, Descriptive Statistics, Statistical Modeling, R Programming, Statistical Analysis, R (Software), Probability & Statistics, Statistical Programming, Data-Driven Decision-Making, Data Analysis, Simulations, Statistical Methods, Rmarkdown, Data Cleansing, Box Plots, Plot (Graphics)

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Build and deploy a stroke prediction model using R

    Skills you'll gain: Feature Engineering, Model Evaluation, Predictive Modeling, Model Deployment, Model Training, Predictive Analytics, R (Software), R Programming, Data Analysis, Statistical Analysis, Data Wrangling, Data Cleansing, Data Manipulation, Classification Algorithms, Data Import/Export, Data Preprocessing, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    33 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Data Science at Scale - Capstone Project

    Skills you'll gain: Feature Engineering, Model Evaluation, Data Analysis, Model Training, Predictive Modeling, Data Wrangling, Statistical Modeling, Statistics, Data Science, Data-Driven Decision-Making, Data Preprocessing, Predictive Analytics, Data Collection, Applied Machine Learning, R Programming, Data Pipelines, Research, Supervised Learning, Technical Communication, Python Programming

    3.8
    Rating, 3.8 out of 5 stars
    ·
    26 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Predictive Analytics & Modeling with Minitab

    Skills you'll gain: Data-Driven Decision-Making, Minitab, Regression Analysis, Predictive Modeling, Logistic Regression, Statistical Hypothesis Testing, Statistical Analysis, Scatter Plots, Correlation Analysis, Data Analysis, Analytics, Data Analysis Software, Predictive Analytics, Statistical Methods, Descriptive Statistics, Statistical Software, Statistical Modeling, Advanced Analytics, Forecasting, Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    25 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Importing Data in the Tidyverse

    Skills you'll gain: Data Import/Export, Web Scraping, Tidyverse (R Package), Data Wrangling, Data Integration, Data Manipulation, JSON, Data Transformation, Relational Databases, R (Software), Google Sheets, Unstructured Data, R Programming, Extensible Markup Language (XML), Spreadsheet Software, Databases, SQL, Data Structures, File I/O, Application Programming Interface (API)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    51 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Corporate Finance Institute

    Commercial Real Estate Modeling

    Skills you'll gain: Commercial Lending, Lending and Underwriting, Lease Contracts, Financial Modeling, Real Estate Transactions, Loans, Mortgage Loans, Credit Risk, Risk Mitigation, Environmental Regulations, Due Diligence, Regulatory Compliance, Cash Flow Forecasting, Property and Real Estate, Environmental Laws, Loan Documentation, Real Estate, Feasibility Studies, Cash Flows, Project Finance

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Satellite Imagery, Remote Sensing & Machine Learning

    Skills you'll gain: Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Random Forest Algorithm, Model Evaluation, Feature Engineering, Model Training, Matplotlib, Convolutional Neural Networks, Image Analysis, Applied Machine Learning, Plot (Graphics), Supervised Learning, Environmental Monitoring, Geospatial Information and Technology, Scientific Visualization, Decision Tree Learning, Deep Learning, Geospatial Mapping, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    6 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Machine Learning with ChatGPT: Image Classification Model

    Skills you'll gain: Model Evaluation, ChatGPT, Fine-tuning, Keras (Neural Network Library), Model Training, Applied Machine Learning, Data Preprocessing, Image Analysis, Data Import/Export, Test Data, Machine Learning, Python Programming, Artificial Neural Networks, Deep Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    35 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google

    The Importance of Integrity

    Skills you'll gain: Statistical Methods, Sample Size Determination, Statistical Hypothesis Testing, Data Preprocessing, Record Keeping

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of London

    Essential Mathematics for Computer Science

    Skills you'll gain: Computational Logic, Algorithms, Arithmetic, Applied Mathematics, Advanced Mathematics, Mathematics and Mathematical Modeling, Deductive Reasoning, Mathematical Theory & Analysis, Trigonometry, Geometry, Statistics, General Mathematics, Graphing, Computer Science, Mathematical Modeling, Programming Principles, Business Mathematics, Business Logic, Algebra, Problem Solving

    Build toward a degree

    3.6
    Rating, 3.6 out of 5 stars
    ·
    10 reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 4

    Skills you'll gain: Predictive Modeling, Applied Machine Learning, Data Preprocessing, Data Analysis, Data Import/Export, Google Cloud Platform, Model Evaluation, Decision Tree Learning, Model Training, Data Processing, Analysis, Machine Learning, Classification Algorithms, Machine Learning Methods, Random Forest Algorithm, Statistical Visualization, Software Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    26 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of Data Science and Machine Learning with Python

    Skills you'll gain: Predictive Modeling, Matplotlib, Machine Learning Methods, Applied Machine Learning, Seaborn, Statistical Modeling, Data Visualization, Plot (Graphics), Regression Analysis, Machine Learning Algorithms, Pandas (Python Package), Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Statistical Methods, Probability & Statistics, Python Programming, Model Training, Statistical Programming

    Intermediate · Course · 1 - 3 Months

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

  • Practical Geospatial Geostatistical Modeling: Case Western Reserve University
  • Build and deploy a stroke prediction model using R: Coursera
  • Data Science at Scale - Capstone Project: University of Washington
  • Predictive Analytics & Modeling with Minitab: EDUCBA
  • Importing Data in the Tidyverse: Johns Hopkins University
  • Commercial Real Estate Modeling: Corporate Finance Institute
  • Satellite Imagery, Remote Sensing & Machine Learning: Coursera
  • Machine Learning with ChatGPT: Image Classification Model: Coursera
  • The Importance of Integrity: Google
  • Essential Mathematics for Computer Science: University of London

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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