Search result for Applications in statistics Online Courses & Certifications
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Optimization Methods for Business Analytics
by James Orlin , Khizar Qureshi- 0.0
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6 Weeks
In this mathematics course, we will examine optimization through a Business Analytics lens. The content in this course has applications in logistics, marketing, project management, finance, statistics and machine learning. Students interested in the material prior to deciding on course enrollment can visit the MIT Open Courseware version of 15....
$49
Fundamentals of Machine Learning in Finance
by Igor Halperin- 3.8
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Approx. 18 hours to complete
Individuals interested in applications of ML for personal day trading Current full-time students pursuing a degree in Finance, Statistics, Computer Science, Mathematics, Physics, Engineering or other related disciplines who want to learn about practical applications of ML in Finance Introduction to Fundamentals of Machine Learning in Finance Scholkopf, “A Tutorial on Support Vector Regression”, Statistics and Computing, vol....
Machine Learning Guide: Learn Machine Learning Algorithms
by Grid Wire- 3
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1 hour on-demand video
Artificial Intelligence is becoming progressively more relevant in today's world. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. Also i'm going to offer you a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics....
$12.99
Mobile App Testing: Key Instruments and Practices
by Arseniy Batyrov- 4.1
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2 hours on-demand video
In modern world business is paying more and more attention to mobile technology. With all this demand for mobile applications testers is also increasing. The training is designed not only for the acquisition of theoretical knowledge, but also on its refinement, allowing to learn in practice how to apply the skills of mobile applications tester....
$12.99
Multiple Regression Analysis with Excel
by Diego Fernandez- 3.9
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4.5 hours on-demand video
Review multiple regression coefficients through their values, standard errors, t statistics and regression coefficients p-values. Become a Multiple Regression Analysis Expert and Put Your Knowledge in Practice Learning multiple regression analysis is indispensable for business data science applications in areas such as consumer analytics, finance, banking, health care, science, e-commerce and social media....
$11.99
Getting Started with Chat Bot for Slack
by Evergreen Technologies- 3.4
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2 hours on-demand video
Jobs in bot development are plentiful, and being able to learn Slackbot will give you a strong background. Learning Slackbot will help you become a bot developer which is in high demand. A github developer statistics answer that will display top contributor statistics for specified git repo. Breaks even the most complex applications down into simplistic steps....
$12.99
The Math of Data Science: Linear Algebra
by Stephen Wang- 0.0
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8 Weeks
Linear algebra is at the core of all of modern mathematics, and is used everywhere from statistics and data science, to economics, physics and electrical engineering. The last chapter concerns inner products, which allow us to use linear algebra for approximating solutions; we will see how this allows for applications ranging from statistics and linear regression to digital audio....
$159
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Python and Machine-Learning for Asset Management with Alternative Data Sets
by Gideon OZIK , Sean McOwen- 4.4
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Approx. 19 hours to complete
This course introduces the core concepts around alternative data, the most recent research in this area, as well as practical portfolio examples and actual applications. Application: Additional applications of consumption data Textual Analysis for Financial Applications Extra materials on Textual Analysis for Financial Applications Additional resources on textual analysis for financial applications...
Deep Learning and Reinforcement Learning
by Mark J Grover , Miguel Maldonado- 4.7
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Approx. 14 hours to complete
This course introduces you to two of the most sought-after disciplines in Machine Learning: Deep Learning and Reinforcement Learning. Deep Learning is a subset of Machine Learning that has applications in both Supervised and Unsupervised Learning, and is frequently used to power most of the AI applications that we use on a daily basis....
Introduction to Predictive Modeling
by De Liu- 5
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Approx. 12 hours to complete
Welcome to Introduction to Predictive Modeling, the first course in the University of Minnesota’s Analytics for Decision Making specialization. This course will introduce to you the concepts, processes, and applications of predictive modeling, with a focus on linear regression and time series forecasting models and their practical use in Microsoft Excel....
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