Search result for Basic statistics course description Online Courses & Certifications
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Six Sigma Tools for Analyze
by Christina Scherrer, PhD , David Cook, PhD , Gregory Wiles, PhD , Bill Bailey, PhD- 4.7
Approx. 8 hours to complete
This course will cover the Measure phase and portions of the Analyze phase of the Six Sigma DMAIC (Define, Measure, Analyze, Improve, and Control) process. This course will outline useful measure and analysis phase tools and will give you an overview of statistics as they are related to the Six Sigma process....
Advanced Linear Models for Data Science 1: Least Squares
by Brian Caffo, PhD- 4.4
Approx. 8 hours to complete
- A basic understanding of linear algebra and multivariate calculus. - A basic understanding of statistics and regression models. - Basic knowledge of the R programming language. Course textbook Basic examples of design matrices and fits...
Advanced Linear Models for Data Science 2: Statistical Linear Models
by Brian Caffo, PhD- 4.6
Approx. 6 hours to complete
- A basic understanding of linear algebra and multivariate calculus. - A basic understanding of statistics and regression models. - Basic knowledge of the R programming language. Course textbook Thanks for taking the course...
Fundamental Mathematics & Statistics for Machine Learning
by Govind Kumar- 0.0
2.5 hours on-demand video
This basic course will help to address that gap in a big way. This course teaches you the basics of mathematics and statistics but from an application perspective....
$12.99
Learn By Example: Statistics and Data Science in R
by Loony Corn- 3.8
9 hours on-demand video
A gentle yet thorough introduction to Data Science, Statistics and R using real life examples This course is a gentle yet thorough introduction to Data Science, Statistics and R using real life examples. Data Science, Statistics and R: This course is an introduction to Data Science and Statistics using the R programming language....
$12.99
Master statistics & machine learning: intuition, math, code
by Mike X Cohen- 4.7
38 hours on-demand video
A rigorous and engaging deep-dive into statistics and machine-learning, with hands-on applications in Python and MATLAB. Statistics and probability control your life. This course covers everything you need to understand the fundamentals of statistics, machine learning, and data science, from bar plots to ANOVAs, regression to k-means, t-test to non-parametric permutation testing....
$13.99
Python and Statistics for Financial Analysis
by Xuhu Wan- 4.4
Approx. 13 hours to complete
Course Overview: https://youtu. The course combines both python coding and statistical concepts and applies into analyzing financial data, such as stock data. Jupyter Notebook environment is configured in the course platform for practicing python coding without installing any client applications. Course overview...
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Introduction to Probability and Data with R
by Mine Çetinkaya-Rundel- 4.7
Approx. 14 hours to complete
This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule. A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization. The concepts and techniques in this course will serve as building blocks for the inference and modeling courses in the Specialization. Robust Statistics...
Outlier Detection Algorithms in Data Mining and Data Science
by KDD Expert- 3.6
2.5 hours on-demand video
Welcome to the course " Outlier Detection Techniques ". No matter what you need outlier detection for, this course brings you both theoretical and practical knowledge, starting with basic and advancing to more complex algorithms. In short, not much! This course is perfect even for those with no knowledge of statistics and linear algebra....
$12.99
Understanding and Visualizing Data with Python
by Brenda Gunderson , Brady T. West , Kerby Shedden- 4.7
Approx. 20 hours to complete
At the end of each week, learners will apply the statistical concepts they’ve learned using Python within the course environment. This course utilizes the Jupyter Notebook environment within Coursera. Interview: Perspectives on Statistics in Real Life Course Syllabus Meet the Course Team! Resource: This is Statistics Beyond Means: Sampling Distributions of Other Common Statistics...