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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


  • 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 (51) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • C

    Coursera

    Employee Attrition Prediction Using Machine Learning

    Skills you'll gain: Data Preprocessing, Data Visualization, Logistic Regression, Feature Engineering, Statistical Visualization, Data Processing, Data Cleansing, Data Wrangling, People Analytics, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Science, Applied Machine Learning, Model Training, Statistical Modeling, Statistical Machine Learning, Regression Analysis, Supervised Learning, Model Evaluation, Machine Learning

    ★ 4.5 (15) · Beginner · Guided Project · Less Than 2 Hours

  • B

    Ball State University

    Data Visualization

    Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Data Visualization Software, Ggplot2, Interactive Data Visualization, Plot (Graphics), Statistical Visualization, R (Software), R Programming, Data Storytelling, Histogram, Scatter Plots, Graphing, Data Analysis, Analysis, Color Theory

    ★ 3.6 (9) · Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Build toward a degree
    Build toward a degree
  • U

    University of Michigan

    Llama for Python Programmers

    Skills you'll gain: LLM Application, Prompt Patterns, Large Language Modeling, Prompt Engineering, Generative AI, Token Optimization, Applied Machine Learning, Generative Model Architectures, Fine-tuning, Python Programming, Model Training, Open Source Technology, Model Optimization

    ★ 4.7 (19) · Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
  • O

    O.P. Jindal Global University

    Machine Learning

    Skills you'll gain: Model Evaluation, Supervised Learning, Model Training, Scikit Learn (Machine Learning Library), Tensorflow, Model Deployment, Applied Machine Learning, Artificial Neural Networks, Python Programming, NumPy, Machine Learning Algorithms, Matplotlib, Deep Learning, Image Analysis, Machine Learning, Model Optimization, Embeddings, Pandas (Python Package), Natural Language Processing

    ★ 3.9 (9) · Beginner · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Build toward a degree
    Build toward a degree
  • U

    University of Colorado Boulder

    Discrete-Time Markov Chains and Monte Carlo Methods

    Skills you'll gain: Artificial Intelligence, Generative AI, Decision Intelligence, Machine Learning Algorithms, Mathematical Theory & Analysis

    ★ 4.3 (18) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • C

    Coursera

    Semantic Segmentation with Amazon Sagemaker

    Skills you'll gain: AWS SageMaker, Amazon Web Services, Model Deployment, Image Analysis, Applied Machine Learning, Model Training, Machine Learning Algorithms, Data Preprocessing, Computer Vision, Deep Learning, Machine Learning

    ★ 4.5 (95) · Advanced · Guided Project · Less Than 2 Hours

    Category: Free
    Free
  • M

    MathWorks

    Machine Learning for Computer Vision

    Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Model Training, Matlab, Machine Learning Methods, Data Preprocessing, Machine Learning, Classification Algorithms, Machine Learning Algorithms

    ★ 4.8 (23) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • J

    Johns Hopkins University

    Honors Algebra 2

    Skills you'll gain: Algebra, Graphing, Applied Mathematics, Mathematical Modeling, Trigonometry, Probability, Advanced Mathematics, Data Analysis, Probability & Statistics, Data Literacy, Statistical Analysis, Logical Reasoning, Probability Distribution, Mathematical Theory & Analysis, Descriptive Statistics, Arithmetic, Statistics, Engineering Calculations, Calculus, Analytical Skills

    ★ 4.4 (7) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
  • E

    EDUCBA

    SPSS: Apply & Evaluate Cluster Analysis Techniques

    Skills you'll gain: Unsupervised Learning, SPSS (Software), SPSS, Statistical Machine Learning, Applied Machine Learning, Machine Learning, Machine Learning Methods, Statistical Software, Data Preprocessing, Machine Learning Algorithms, Statistical Analysis, Model Evaluation, Data Mining, Data Cleansing, Data Analysis, Statistical Methods, Data Visualization

    ★ 4.8 (20) · Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
  • C

    Coursera

    Getting Started with Rstudio

    Skills you'll gain: Interactive Data Visualization, Plot (Graphics), R (Software), Hypertext Markup Language (HTML), Software Installation, Package and Software Management, R Programming, Integrated Development Environments, Cloud Development

    ★ 4.6 (146) · Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Excel for Data Analysis

    Skills you'll gain: Data-Driven Decision-Making, Microsoft Excel, Data Storytelling, Data Visualization, Excel Formulas, Data Analysis, Statistical Reporting, Data Presentation, Customer Analysis, Spreadsheet Software, Case Studies, Descriptive Analytics, Research Reports, Statistical Analysis, Performance Analysis, Descriptive Statistics, Google Sheets

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
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In summary, here are 10 of our most popular statistical inference courses

  • Importing Data in the Tidyverse: Johns Hopkins University
  • Employee Attrition Prediction Using Machine Learning: Coursera
  • Data Visualization: Ball State University
  • Llama for Python Programmers: University of Michigan
  • Machine Learning: O.P. Jindal Global University
  • Discrete-Time Markov Chains and Monte Carlo Methods: University of Colorado Boulder
  • Semantic Segmentation with Amazon Sagemaker: Coursera
  • Machine Learning for Computer Vision: MathWorks
  • Honors Algebra 2: Johns Hopkins University
  • SPSS: Apply & Evaluate Cluster Analysis Techniques: EDUCBA

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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