Measures of Central Tendency Courses and Certifications

Estadística Aplicada a los Negocios

133 reviews

Usa estadística descriptiva e inferencial en los negocios. Aprende a tomar decisiones con ayuda de estimadores, análisis regresional y más.

• edX
• 5 weeks, 5-6 hours a week
• On-Demand
• Free Online Course (Audit)

• Best of All Time

Descriptive and Inferential Statistics with Python

Master statistical analysis using Python's powerful libraries - from basic descriptive measures to advanced inferential techniques, with hands-on practice using real-world datasets and practical applications.

• CodeSignal
• On-Demand
• Free Certificate

CrashCourse

Statistics by CrashCourse

In 44 episodes, Adriene Hill teaches you Statistics! This course is based on the 2018 AP Statistics curriculum and introduces everything from basic descriptive statistics to data collection to hot topics in data analysis like Big Data and neural networks.

• Independent
• 9 hours
• On-Demand
• Free Video

Statistics for Data Science using Python

211 ratings at Udemy

Statistics you need in the office: Core of Statistics, Inferential & Descriptive statistics, Hypothesis testing,

• Udemy
• 8 hours 4 minutes
• On-Demand
• Paid Course

American Psychological Association

Measures of Central Tendency

Master measures of central tendency: compute, interpret, and select appropriate statistical tools for data analysis and informed decision-making across various fields.

• Coursera
• 3 hours 30 minutes
• On-Demand
• Free Online Course (Audit)

American Psychological Association

Measures of Variability

Explore statistical variability, calculate variance and standard deviation, compare measures, and analyze distributions graphically. Develop skills to interpret data variability in various contexts.

• Coursera
• 3 hours 27 minutes
• On-Demand
• Free Online Course (Audit)

Professor Leonard

Statistics

1 review

Comprehensive video series covering fundamental statistical concepts, from data analysis to hypothesis testing, with practical examples and in-depth explanations.

• YouTube
• 1 day 8 hours
• On-Demand
• Free Video

Biostatistics and Research Methodology

1 review

Comprehensive exploration of biostatistics and research methodology, covering statistical concepts, sampling techniques, hypothesis testing, and research design for pharmacy students.

• YouTube
• 19 hours
• On-Demand
• Free Video

Great Learning

Essential Statistics for Data Science - Learn Statistics for Data Science

1 review

Comprehensive overview of essential statistics for data science, covering central tendency, hypothesis testing, ANOVA, and more. Ideal for aspiring data scientists seeking foundational knowledge.

• YouTube
• 5 hours 26 minutes
• On-Demand
• Free Video

Statistics - A Full University Course on Data Science Basics

1 review

Comprehensive introduction to statistics for data science, covering methods for data collection, analysis, and interpretation. Emphasizes practical applications with real-life examples to develop analytical skills.

• freeCodeCamp
• 8 hours
• On-Demand
• Free Video

Statistics in One Minute

1 review

Concise explanations of key statistical concepts, from probabilities to financial metrics, offering quick insights for learners and professionals in data analysis and finance.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Elementary Statistics

Learn probability, hypothesis testing, and statistical analysis techniques for decision-making. Apply concepts to various fields using statistical software and interpret findings effectively.

• California Community Colleges System
• 17 weeks, 4 hours a week
• 12th Aug, 2024
• Paid Course

Statistics Foundations: The Basics

3063 ratings at LinkedIn Learning

Learn to understand your data using basics of statistics, such as defining the middle, mean, and median of your data set; measuring the standard deviation; and finding outliers.

• LinkedIn Learning
• On-Demand
• Free Trial Available

Summarizing Data and Deducing Probabilities

77 ratings at Pluralsight

This course covers the most important aspects of exploratory data analysis using different univariate, bivariate, and multivariate statistics from Excel and Python, including the use of Naive Bayes' classifiers and Seaborn to visualize relationships.

• Pluralsight
• 2 hours 51 minutes
• On-Demand
• Free Trial Available

Foundations of Statistics and Probability for Machine Learning

26 ratings at Pluralsight

This course will teach you the concepts, theory, and implementation of basic statistics, probability, hypothesis testing, and regression analysis required to build and interpret meaningful machine learning models.

• Pluralsight
• 2 hours 13 minutes
• On-Demand
• Free Trial Available