Search result for Probability and statistics course online Online Courses & Certifications
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Manufacturing Process Control I
by David Hardt , Duane Boning- 0.0
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8 Weeks
Learn how to model variations in manufacturing processes and develop methods to reduce and control deterministic variations to achieve consistent process quality. Applying basic probability and statistics concepts to characterize process variation Differentiating between design specifications and process capability Statistical Process Control (SPC) foundations and applications Xbar, EWMA, CUSUM and discrete event methods for detecting process problems...
$175
Exploring and Producing Data for Business Decision Making
by Fataneh Taghaboni-Dutta, Ph.D., PMP- 4.8
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Approx. 23 hours to complete
This course provides an analytical framework to help you evaluate key problems in a structured fashion and will equip you with tools to better manage the uncertainties that pervade and complicate business processes. This course is part of Gies College of Business’ suite of online programs, including the iMBA and iMSM. Module 2: Descriptive Statistics and Probability Distributions...
Data Analysis for Social Scientists
by Esther Duflo , Sara Fisher Ellison- 0.0
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11 Weeks
MicroMasters in Statistics and Data Science (SDS). This statistics and data analysis course will introduce you to the essential notions of probability and statistics. This course is designed for anyone who wants to learn how to work with data and communicate data-driven findings effectively. Course Previews: Intuition behind probability and statistical analysis...
Supervised Learning: Classification
by Mark J Grover , Miguel Maldonado- 4.9
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Approx. 11 hours to complete
This course introduces you to one of the main types of modeling families of supervised Machine Learning: Classification. The hands-on section of this course focuses on using best practices for classification, including train and test splits, and handling data sets with unbalanced classes. Boosting and Stacking Boosting and Stacking Demo Upsampling and Downsampling...
Supervised Machine Learning: Classification
by Mark J Grover , Miguel Maldonado- 4.9
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Approx. 11 hours to complete
This course introduces you to one of the main types of modeling families of supervised Machine Learning: Classification. The hands-on section of this course focuses on using best practices for classification, including train and test splits, and handling data sets with unbalanced classes. Boosting and Stacking Boosting and Stacking Demo Upsampling and Downsampling...
Data Analysis Bootcamp™ 21 Real World Case Studies
by Rajeev D. Ratan- 4.4
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15 hours on-demand video
Data Analysts aim to discover how data can be used to answer questions and solve problems through the use of technology. You'll learn how to create awesome Dashboards, tell stories with Data and Visualizations, make Predictions, Analyze experiments and more! Python Crash Course Data Manipulations and Wrangling with Pandas Probability and Statistics...
$13.99
Applied Statistics with Python
by Ben Tasker , David Sze- 0.0
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16 Weeks
Analyze data using statistical methods and technology. This course helps prepare you for positions that require the analysis of large data sets, providing the statistics foundation you’ll need for data analysis. This course specifically explores inferential statistics - the science of applying statistical techniques to quantify and answer real-world data analysis questions....
$498
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Easy Statistics: Non-Linear Regression
by F. Buscha- 5
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1 hour on-demand video
"Easy Statistics" is designed to provide you with a compact, and easy to understand, course that focuses on the basic principles of statistical methodology. This course will focus on the concept of Non-Linear regression, specifically Logit and Probit regression. This course will explain what non-linear regression is and how Logit and Probit regression works....
$12.99
Stochastic processes
by Vladimir Panov- 4.5
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Approx. 23 hours to complete
The purpose of this course is to equip students with theoretical knowledge and practical skills, which are necessary for the analysis of stochastic dynamical systems in economics, engineering and other fields. The course provides a necessary theoretical basis for studying other courses in stochastics, such as financial mathematics, quantitative finance, stochastic modeling and the theory of jump - type processes....
R Programming - Data Science using R
by Data Training Campus- 4.1
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7 hours on-demand video
Through this course one will be learning about basic R functions, special numerical values, array and matrix, repository and packages, installing a package, how to calculate variance, co-variance, cumulative frequency, learn about statistics, probability and distribution, random examples, discrete example and many as such concept about R. People interested in statistics and data sciences...
$11.99
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