Sampling Courses and Certifications

เทคนิคการสำรวจตัวอย่าง | Sampling Techniques

เรียนรู้แนวคิดและเทคนิคการสุ่มตัวอย่างหลายรูปแบบเพื่อประยุกต์ใช้ในการวิจัยเชิงสำรวจ

• ThaiMOOC
• Self-Paced
• Free Certificate

EDUCBA

Market Research Methodology and Sampling

Design and run market research studies: define research problems, build Likert and rank order scales, apply probability and non-probability sampling, then tabulate data and report findings.

• Coursera
• 6 weeks, 2 hours a week
• Self-Paced
• Paid Course

Native Instruments

Maschine Workflow Tutorials - Drums, Melody, Sampling, Mixer and FX, Arrange, Export Track

Master drum programming, melody creation, sampling techniques, mixing, arrangement, and track export using Native Instruments' Maschine production workflow.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Introduction to Probability and Data with R

6 ratings

Learn to design studies, sample data, and explore it with numeric summaries and visualizations in R and RStudio, plus probability, Bayes' rule, normal and binomial distributions.

• Coursera
• 8 weeks, 2 hours a week
• Self-Paced
• Paid Course

Muestreo de personas, redes y registros

Aprende a seleccionar muestras aleatorias de personas, registros y redes mediante diseños simples, estratificados, sistemáticos, por conglomerados y multietapa.

• Coursera
• 6 weeks, 4 hours a week
• Self-Paced
• Paid Course

The Organic Chemistry Tutor

Central Limit Theorem - Sampling Distribution of Sample Means - Stats & Probability

An introductory tutorial on the central limit theorem, sampling distributions of means, standard error, and probability problems across normal, uniform, and exponential distributions.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

Understanding and Visualizing Data with Python

2741 ratings at Coursera

Explore data statistically in Python: build histograms, box plots and multivariate graphics, interpret mean, IQR and standard deviation, and compare probability with non-probability sampling.

• Coursera
• 4 weeks, 5 hours a week
• Self-Paced
• Paid Course

Foundations of Inference in Python

229 ratings at DataCamp

Truly Understand Hypothesis Tests What happens after you compute your averages and make your graphs?

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Cómo manejar datos faltantes

Aprende a ponderar encuestas e imputar valores faltantes mediante ajustes por no respuesta, calibración y herramientas estadísticas.

• Coursera
• 5 weeks, 4 hours a week
• Self-Paced
• Paid Course

Analyzing Survey Data in Python

55 ratings at DataCamp

Analyze survey data in Python using sampling and weighting methods, descriptive and inferential statistics, and modeling with linear regression, two-sample t-tests, and chi-square tests.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Statistical Simulation in Python

28 ratings at DataCamp

Get to Grips with Random Variables Simulations are a class of computational algorithms that use random sampling to solve increasingly complex problems.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Statistics Fundamentals in Python

12 ratings at DataCamp

Statistical knowledge is key to evaluating, interpreting, and reporting findings from your data.

• DataCamp
• 20 hours
• Self-Paced
• Free Trial Available

Introduction to Data in R

Learn the language of data, study types, sampling strategies, and experimental design.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Statistics Fundamentals in R

Statistics is the study of how best to collect, analyze, and draw conclusions from data.

• DataCamp
• 20 hours
• Self-Paced
• Free Trial Available

Intermediate Statistical Modeling in R

In this follow-up course, you will expand your stat modeling skills from the introduction and dive into more advanced concepts.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available