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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: Preview
    Preview
    U

    University of Michigan

    Muestreo de personas, redes y registros

    Skills you'll gain: Sampling (Statistics), Sample Size Determination, Data Collection, Surveys, Statistical Methods, Quantitative Research, Probability & Statistics, Research Design, Statistical Software

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    H

    Howard University

    Business Modeling Tools

    Skills you'll gain: Regression Analysis, Data-Driven Decision-Making, Business Modeling, Business Analytics, Statistical Analysis, Spreadsheet Software, Forecasting, Data Analysis, Microsoft Excel, Predictive Modeling, Business Strategy

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Developing Explainable AI (XAI)

    Skills you'll gain: Responsible AI, Data Ethics, Generative AI, Artificial Intelligence, Machine Learning, Machine Learning Methods, Artificial Neural Networks, Algorithms, Information Privacy, Decision Support Systems, Data Integrity

    4.6
    Rating, 4.6 out of 5 stars
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    45 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Нейронные сети и глубокое обучение

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Computer Vision, Machine Learning, Python Programming, Network Architecture, Linear Algebra, Calculus

    4
    Rating, 4 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Random Forest Algorithm, Data Processing, Machine Learning Algorithms, Predictive Modeling, Regression Analysis, Feature Engineering, Machine Learning, Exploratory Data Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    24 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    ML Parameters Optimization: GridSearch, Bayesian, Random

    Skills you'll gain: Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Machine Learning, Bayesian Statistics, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Maryland, College Park

    Financing and Profiting from Innovation for Corporate Entrepreneurs

    Skills you'll gain: Entrepreneurial Finance, Business Valuation, Proposal Development, Corporate Finance, Financial Modeling, Financial Statements, Corporate Accounting, Project Finance, Business Metrics, Return On Investment, Financial Management, Financial Analysis, Cash Flows, Presentations, Innovation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    46 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    E

    Erasmus University Rotterdam

    Excel Modeling for Professionals: Best Practices & Pitfalls

    Skills you'll gain: Microsoft Excel, Excel Formulas, Verification And Validation, Financial Modeling, Project Documentation, Business Modeling, Spreadsheet Software, Product Testing, Data Validation, Document Management, Data Integrity, Data Management, Organizational Skills

    4.5
    Rating, 4.5 out of 5 stars
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    36 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    Modeling Time Series and Sequential Data

    Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Forecasting, Regression Analysis, Applied Machine Learning, Statistical Analysis, Advanced Analytics, Statistical Methods, Predictive Modeling, Statistical Modeling, Bayesian Statistics, Artificial Neural Networks

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    企业金融概论(中文版)

    Skills you'll gain: Return On Investment, Capital Budgeting, Finance, Financial Modeling, Corporate Finance, Financial Management, Financial Analysis, Business Valuation, Financial Market, Cash Flows, Securities (Finance), Asset Management

    4.6
    Rating, 4.6 out of 5 stars
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    49 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Data Visualization & Storytelling in Python

    Skills you'll gain: Data Storytelling, Plotly, Data Presentation, Matplotlib, Interactive Data Visualization, Seaborn, Data Visualization, Data Visualization Software, Statistical Visualization, Scatter Plots

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Wrangling with Python Project

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Integration, Data Processing, Data Collection, Data Validation, Data Cleansing, Data Quality, Data Analysis, Data Manipulation, Data Transformation, Pivot Tables And Charts, Statistical Visualization, Data Visualization, Statistical Analysis, Data Mining, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

Searches related to Statistical Inference

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In summary, here are 10 of our most popular Statistical Inference courses

  • Muestreo de personas, redes y registros: University of Michigan
  • Business Modeling Tools: Howard University
  • Developing Explainable AI (XAI): Duke University
  • Нейронные сети и глубокое обучение: DeepLearning.AI
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera
  • Financing and Profiting from Innovation for Corporate Entrepreneurs: University of Maryland, College Park
  • Excel Modeling for Professionals: Best Practices & Pitfalls: Erasmus University Rotterdam
  • Modeling Time Series and Sequential Data: SAS
  • 企业金融概论(中文版): University of Pennsylvania

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