Statistical Analysis Courses and Certifications

The Organic Chemistry Tutor

How to Find the Weighted Mean and Weighted Average in Statistics

Learn to calculate weighted means and averages in various scenarios, from test scores to GPAs and mixture concentrations, with clear explanations and practical examples.

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

Professor Leonard

Statistics Lecture - The Standard Normal Distribution - Using Z-Score, Standard Score

Learn to apply the standard normal distribution, calculate z-scores, and interpret standard scores for practical data analysis and probability calculations.

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

Professor Leonard

Finding Z-Score, Percentiles and Quartiles, and Comparing Standard Deviation

Learn to calculate z-scores, interpret percentiles and quartiles, and compare standard deviations in this comprehensive statistics lecture, enhancing your data analysis skills.

• YouTube
• 1 hour 32 minutes
• Self-Paced
• Free Video

Introduction to Spreadsheets and Models

6 ratings

Learn essential spreadsheet skills for data analysis and modeling. Master formulas, functions, and tools to create powerful business models and make informed decisions.

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

Career Certificate

Applied Data Science with Python

34341 ratings at Coursera

Gain practical data science skills using Python, covering statistical analysis, machine learning, visualization, text mining, and network analysis through hands-on projects and popular toolkits.

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

This interactive DataCamp course complements the Coursera course Data Analysis and Statistical Inference by Mine Çetinkaya-Rundel.

• DataCamp
• Self-Paced
• Free Trial Available

Inferential Statistical Analysis with Python

937 ratings at Coursera

Explore inferential statistics using Python, covering confidence intervals and hypothesis testing for various population parameters. Apply concepts to real-world case studies using statistical libraries.

• Coursera
• 21 hours 46 minutes
• Self-Paced
• Paid Course

Richard McElreath

Statistical Rethinking 2022 - Multi-Multilevel Models

Explore advanced statistical concepts including multiple cluster types, multilevel predictions, and non-centered priors in this comprehensive lecture on multi-multilevel models.

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

Richard McElreath

Statistical Rethinking 2022 - Good & Bad Controls

Explore causal inference through DAGs, backdoor criterion, and control variables. Learn to identify good and bad controls for accurate statistical analysis and avoid common pitfalls.

• YouTube
• 1 hour 28 minutes
• Self-Paced
• Free Video

Richard McElreath

Statistical Rethinking 2022 - Elemental Confounds

Explore key concepts in statistical analysis: forks, pipes, colliders, and unobserved confounds. Learn to identify and address elemental confounds for more robust research designs.

• YouTube
• 1 hour 9 minutes
• Self-Paced
• Free Video

Richard McElreath

Statistical Rethinking 2022 - Categories, Curves & Splines

Explore statistical concepts like categorical variables, contrasts, and splines. Learn Bayesian causal inference and polynomial models for advanced data analysis and modeling techniques.

• YouTube
• 1 hour 17 minutes
• Self-Paced
• Free Video

Dr. John Campbell

Statistical Error in Vitamin D Recommended Dietary Allowance Estimation

Uncover a critical statistical error in vitamin D recommendations that led to dosages 15-22 times too low, exploring the flawed methodology and its serious public health implications.

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

Statistical Analysis using SPSS for Beginners

Master essential statistical analysis techniques using SPSS software, from basic data management to advanced hypothesis testing, correlation analysis, and result interpretation for real-world applications.

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

MCO-03: Research Methodology and Statistical Analysis

1 rating

The Objective of this course to pay awareness to the most important aspect of Research i.e. Research Methodology. It will enable the Researchers to build up the most suitable methodology for their Research Studies.

• Swayam
• 16 weeks
• Self-Paced
• Free Online Course

Career Certificate

Introduction to Data Science

102104 ratings at Coursera

Comprehensive introduction to data science fundamentals, covering key concepts, tools, and methodologies. Develop essential skills for data analysis, decision-making, and career advancement in this rapidly growing field.

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