Sampling Distributions Courses and Certifications

Professor Leonard

Sampling Distributions - Using Samples to Approximate Populations

Explore sampling distributions and learn techniques for using sample data to approximate population parameters in statistical analysis.

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

NPTEL-NOC IITM

Sampling Distribution of Sample Mean When Variance is Known

Explore the sampling distribution of sample mean when variance is known, including its properties and statistical applications.

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

NPTEL-NOC IITM

Sampling Distribution of Difference of Sample Means - Part 1

Explore the sampling distribution of difference between sample means when variances are known, a key statistical concept.

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

Shashank Kalanithi

Practical Statistics for Data Scientists - Data and Sampling Distributions

Explore data and sampling distributions in statistics for data science, covering random sampling, bias, regression, and key statistical concepts with practical examples.

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

Intro to Descriptive Statistics

12 ratings

Learn essential concepts of descriptive statistics, including data visualization, central tendency, variability, standardization, and sampling distributions, to analyze and interpret data effectively.

• Udacity
• 8 weeks
• Self-Paced
• Free Online Course

Sampling in Python

Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.

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

Sampling in R

Master sampling to get more accurate statistics with less data.

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

jbstatistics

Sampling Distributions

Explore sampling distributions, focusing on the sample mean and Central Limit Theorem, to enhance your understanding of statistical concepts.

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

Career Certificate

Inferential Statistics for Data Analysis Course

Master statistical inference techniques to draw valid conclusions from sample data, estimate population parameters, test hypotheses, and perform regression analysis.

• Graduate School USA
• Self-Paced
• $1,049.00

Statistics for International Business

316 ratings at Coursera

Introduces core statistical concepts for business, covering data presentation, probability, and estimation. Develops essential skills for international business and MBA studies through practical examples and self-assessment.

• Coursera
• 12 hours 23 minutes
• Self-Paced
• Paid Course

NPTEL;  IIT Bombay

Introduction to Biostatistics

7 ratings

In this course, we will discuss different statistical tools required to (i) analyze our observations, (ii) design new experiments, and (iii) integrate a large number of observations in a single unified model.

• YouTube
• 19 hours
• Self-Paced
• Free Video

Statistical Estimation for Data Science and AI

95 ratings at Coursera

Learn statistical inference, sampling distributions, and confidence intervals. Explore estimation methods, construct good estimators, and develop confidence intervals for various settings. Gain practical skills for data analysis and interpretation.

• Coursera
• 1 day 5 hours 23 minutes
• Self-Paced
• Paid Course

Statistics and Data Analysis with Excel, Part 2

10 ratings at Coursera

Explore advanced statistical techniques using Excel, including hypothesis testing, regression analysis, and ANOVA. Build on foundational concepts to enhance data analysis skills.

• Coursera
• 21 hours 11 minutes
• Self-Paced
• Paid Course

Engineering Probability and Statistics Part 2

Explore statistical inference through hypothesis testing, confidence intervals, ANOVA, and sampling distributions to solve engineering problems with data-driven insights.

• Coursera
• 1 day 42 minutes
• Self-Paced
• Paid Course

Calculus-Based Probability & Statistics

Comprehensive review of calculus-based probability and statistics, covering descriptive statistics, probability theories, distributions, sampling, estimation, hypothesis testing, regression, and statistical software.

• Study.com
• 9 hours 44 minutes
• Self-Paced
• Paid Course