Normal Distribution Courses and Certifications

Math for Data Science Masterclass

1199 ratings at Udemy

Learn about probability, statistics, and more using the mathematics that are foundational to the field of data science.

• Udemy
• 16 hours 7 minutes
• On-Demand
• Paid Course

Statistics/Data Analysis with SPSS: Descriptive Statistics

991 ratings at Udemy

Increase Your Descriptive Data Analytic Skills – Highly Valued And Sought After By Employers

• Udemy
• 3-4 hours
• On-Demand
• Paid Course

Introduction to Statistics in Python

185 ratings at DataCamp

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Introduction to Statistics

135 ratings at DataCamp

Learn the fundamentals of statistics, including measures of center and spread, probability distributions, and hypothesis testing with no coding involved!

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Binomial, Normal Distribution, Matrices for Data Science

86 ratings at Udemy

Building on the Foundation: Binomial & Normal Distribution, CRISP DM, Anova, Matrices, Coordinate Geometry

• Udemy
• 16 hours 37 minutes
• On-Demand
• Paid Course

Probability and Statistics III: A Gentle Introduction to Statistics

Explore probability distributions, statistical concepts, and estimation methods. Learn about normal distribution, Central Limit Theorem, and sampling distributions for practical applications in data analysis.

• edX
• 4 weeks, 6-10 hours a week
• On-Demand
• Free Online Course (Audit)

Statistics Fundamentals

Comprehensive overview of statistical concepts, from basic distributions to advanced topics like maximum likelihood, providing a solid foundation for data analysis and interpretation.

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

Probability: Distribution Models & Continuous Random Variables

Learn about probability distribution models, including normal distribution, and continuous random variables to prepare for a career in information and data science.

• edX
• 6 weeks, 4-6 hours a week
• On-Demand
• Free Online Course (Audit)

NPTEL;  IIT Madras

Biostatistics and Design of Experiments

2 reviews

The course encompasses topics such as distribution of data, sample size, tests of significance, data reduction, regression analysis, comparison of performance of drugs in clinical trials, design of experiments, screening and second order designs.

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

A-level Mathematics for Year 13 - Course 2: General Motion, Moments and Equilibrium, The Normal Distribution, Vectors, Differentiation Methods, Integration Methods and Differential Equations

Develop your thinking skills, fluency and confidence to aim for an A* in A-level maths and prepare for undergraduate STEM degrees.

• edX
• 7 weeks, 2-4 hours a week
• On-Demand
• Free Online Course (Audit)

This course is designed to explain the fundamental of statistics.

• Stepik
• 6 hours
• On-Demand
• Free Online Course

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

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

Statistics for Data Science

1 review

Comprehensive exploration of statistical concepts for data science, covering descriptive and inferential statistics, probability distributions, hypothesis testing, and various analytical methods through practical examples.

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