Hypothesis Testing Courses and Certifications

Professor Knudson

Introductory Hypothesis Testing

Learn essential concepts and techniques for statistical hypothesis testing, including p-values, errors, and various test types for means and proportions.

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

Inferential Statistics

Master inferential statistics to perform data analysis using appropriate statistical theory and methodology, enabling confident interpretation of data-driven insights.

• OpenLearning
• Self-Paced
• Paid Course

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

Hypothesis Testing

Explore advanced statistical techniques including correlation tests, non-parametric methods, and contingency tables for robust data analysis and hypothesis evaluation.

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

Hypothesis Testing and P-Values

Learn key concepts in statistical inference, including p-values, hypothesis testing, t-tests, and ANOVA. Develop skills to choose appropriate tests and interpret results for data-driven decision making.

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

Statistics for Genomic Data Science

380 ratings at Coursera

An introduction to the statistics behind the most popular genomic data science projects. This is the sixth course in the Genomic Big Data Science Specialization from Johns Hopkins University.

• Coursera
• 9-10 hours
• Self-Paced
• Paid Course

Strategic Planning and Execution

901 ratings at Coursera

Learn tools for effective strategy planning and execution, including analysis, formulation, and implementation. Gain insights from industry leaders and explore the 4A model for successful strategy execution.

• Coursera
• 10 hours 35 minutes
• Self-Paced
• Paid Course

Exploratory Data Analysis for Machine Learning

2571 ratings at Coursera

Aprenda técnicas essenciais de análise exploratória de dados para machine learning, incluindo limpeza, engenharia de recursos e testes de hipóteses, preparando-se para projetos de IA.

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

Statistics

7 ratings

We live in a time of unprecedented access to information. You'll learn how to use statistics to interpret that information and make decisions.

• Udacity
• 32 hours
• Self-Paced
• Free Online Course

Meta Career Certificate

Meta Data Analyst

1816 ratings at Coursera

Learn essential data analysis skills including Python, SQL, and statistics. Build a portfolio and gain practical experience in data extraction, visualization, and decision-making.

• Coursera
• 20 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 5 courses

Six Sigma Tools for Improve and Control

1394 ratings at Coursera

Learn advanced Six Sigma tools for analyzing data, improving processes, and maintaining enhancements. Master correlation, regression, hypothesis testing, and control techniques to complete the DMAIC process.

• Coursera
• 6 hours 34 minutes
• Self-Paced
• Paid Course

数理统计

Master fundamental mathematical statistics concepts, from sampling distributions to hypothesis testing, while developing analytical skills for data-driven decision making and scientific research.

• XuetangX
• Self-Paced
• Free Online Course

เทคนิคการวิเคราะห์เบื้องต้น (ตอนที่ 1) | Introduction to Analysis Techniques (Part 1)

เรียนรู้เทคนิคการวิเคราะห์ข้อมูลเบื้องต้น มุ่งเน้นการทดสอบสมมติฐานค่าเฉลี่ยประชากร ภาวะสารูปสนิทดี และความเป็นอิสระ ผ่านโปรแกรม MS Excel

• ThaiMOOC
• Self-Paced
• Free Certificate

Six Sigma Advanced Analyze Phase

994 ratings at Coursera

Dive deep into advanced Six Sigma Analyze phase techniques, including hypothesis testing and design of experiments, to enhance process improvement skills and business performance.

• Coursera
• 3 hours 59 minutes
• Self-Paced
• Paid Course

The Power of Statistics

899 ratings at Coursera

Explore statistical concepts and techniques for data analysis, including descriptive and inferential statistics, probability, sampling, confidence intervals, and hypothesis testing using Python.

• Coursera
• 1 day 7 hours 10 minutes
• Self-Paced
• Paid Course