Hypothesis Testing Courses and Certifications

Statistics 101: Principles of Statistics

Learn fundamental statistical concepts, from data summarization to hypothesis testing, with expert-led lessons and interactive quizzes. Gain transferable skills applicable to various fields.

• Study.com
• 21 hours 44 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

Econometrics - Theory and Practice

Master econometric theory and practice through regression analysis, hypothesis testing, and statistical inference for analyzing economic relationships and data.

• Coursera
• 1 day 7 hours 43 minutes
• Self-Paced
• Paid Course

Introduction to Statistics: Help and Review

Comprehensive statistics review covering key concepts from data summarization to hypothesis testing, ideal for catching up or enhancing understanding.

• Study.com
• 18 hours 16 minutes
• Self-Paced
• Paid Course

Packt

Foundations of ML & Python for Data Science

Gain insights into machine learning fundamentals and Python programming for data science, covering statistical techniques, key libraries like NumPy and Pandas, and practical applications across industries.

• Coursera
• 14 hours 15 minutes
• Self-Paced
• Paid Course

Edureka

Predictive Modeling with Python

Master statistical analysis and machine learning in Python through hands-on practice with real-world data, from probability distributions to predictive modeling and model optimization.

• Coursera
• 16 hours 45 minutes
• Self-Paced
• Paid Course

Business 212: Business Statistics

Learn essential business statistics concepts, from descriptive measures to probability, hypothesis testing, and forecasting, with engaging lessons and expert instructors.

• Study.com
• 16 hours 56 minutes
• Self-Paced
• Paid Course

Packt Career Certificate

Mastering Machine Learning Algorithms using Python

Master machine learning algorithms with Python, from data preprocessing to model optimization. Learn statistical techniques and implement algorithms like linear regression through practical projects.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Coursera

Beyond basics: Advanced Data Analysis with Python

Master advanced statistical methods, hypothesis testing, A/B testing, and workflow automation using Python with real employee and medical datasets to solve complex business problems.

• Coursera
• 6 hours 2 minutes
• Self-Paced
• Paid Course

Coursera

Launch Effective A/B Tests

Master A/B testing methodology to design statistically sound experiments, calculate performance uplift with confidence, and make data-driven rollout decisions for business impact.

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

American Psychological Association

t-Tests of Hypotheses About Means

Master statistical analysis techniques for comparing means through t-tests, covering one-sample, paired-samples, and independent-samples methods with practical applications in psychological research.

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

EDUCBA

Machine Learning with Python & Statistics

Master probability, sampling, distributions, and statistical testing to build machine learning models with Python and validate results through hypothesis testing and linear algebra.

• Coursera
• 13 hours 9 minutes
• Self-Paced
• Paid Course

Statistical Analysis and Data Modeling in Healthcare

Master statistical analysis and predictive modeling techniques for healthcare data using Python, from descriptive statistics to machine learning applications.

• Coursera
• 8 hours 29 minutes
• Self-Paced
• Paid Course

American Psychological Association

Chi-Square Tests of Hypotheses About Frequency Tables

Master statistical analysis techniques for frequency tables using chi-square tests, from basic goodness-of-fit to independence testing, with practical applications in psychological research and data interpretation.

• Coursera
• 4 hours 7 minutes
• Self-Paced
• Paid Course

EDUCBA

Statistics for Data Science with Python

Master statistical analysis and predictive modeling using Python, Pandas, and NumPy through hands-on exercises covering descriptive stats, hypothesis testing, and regression techniques.

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