Search result for Applications in statistics Online Courses & Certifications
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Distributed Machine Learning with Apache Spark
by Ameet Talwalkar , Jon Bates- 0.0
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4 Weeks
Machine learning aims to extract knowledge from data, relying on fundamental concepts in computer science, statistics, probability and optimization. Learning algorithms enable a wide range of applications, from everyday tasks such as product recommendations and spam filtering to bleeding edge applications like self-driving cars and personalized medicine....
$99
Data Science Fundamentals for Data Analysts
by Emma Freeman , Mark Roepke- 0.0
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Approx. 19 hours to complete
In this course we're going to guide you through the fundamental building blocks of data science, one of the fastest-growing fields in the world! With the help of our industry-leading data scientists, we’ve designed this course to build ready-to-apply data science skills in just 15 hours of learning. Measuring Solutions in the Real-World...
HR Analytics using MS Excel (Excel Analytics)
by Unlock HR- 4.2
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6 hours on-demand video
The present course centers around learning wide applications of Data Analysis ToolPak and applying the same to solve real business problems. Different types of descriptive statistics tools are used to quantitatively describe or summarize the features of collected information. Inferential statistics tools are used to make inferences about the population with the use of random samples taken from the data....
$9.99
Exploratory Data Analysis for Machine Learning
by Mark J Grover , Miguel Maldonado- 4.6
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Approx. 8 hours to complete
This first course in the IBM Machine Learning Professional Certificate introduces you to Machine Learning and the content of the professional certificate. In this course you will realize the importance of good, quality data. This course targets aspiring data scientists interested in acquiring hands-on experience with Machine Learning and Artificial Intelligence in a business setting....
Master statistics & machine learning: intuition, math, code
by Mike X Cohen- 4.7
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38 hours on-demand video
A rigorous and engaging deep-dive into statistics and machine-learning, with hands-on applications in Python and MATLAB. If you want to make yourself a future-proof employee, employer, data scientist, or researcher in any technical field -- ranging from data scientist to engineering to research scientist to deep learning modeler -- you'll need to know statistics and machine-learning....
$13.99
Applied Statistics with Python
by Ben Tasker , David Sze- 0.0
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16 Weeks
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. You’ll also gain skills to set up those applications in statistical frameworks, solve the statistical problems using technology and apply those results to answer real business questions....
$498
Big Data Emerging Technologies
by Jong-Moon Chung- 4.7
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Approx. 30 hours to complete
In addition, big data technology supports your smartphone, smartwatch, Alexa, Siri, and automobile (if it is a newer model) every day. The top companies in the world are currently using big data technology, and every company is in need of advanced big data technology support. IBM SPSS Statistics Project 1 IBM SPSS Statistics Project...
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Data, Models and Decisions in Business Analytics
by Vineet Goyal , Costis Maglaras- 0.0
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12 Weeks
Learn fundamental tools and techniques for using data towards making business decisions in the face of uncertainty. Learn various approaches for decision-making in the face of uncertainty Most of the topics will be presented in the context of practical business applications to illustrate its usefulness in practice. Optimization methods and software to solve decision problems under uncertainty in business applications...
$249
Convex Optimization
by Stephen Boyd , Henryk Blasinski- 0.0
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8 Weeks
This course concentrates on recognizing and solving convex optimization problems that arise in applications. The syllabus includes: convex sets, functions, and optimization problems; basics of convex analysis; least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems; optimality conditions, duality theory, theorems of alternative, and applications; interior-point methods; applications to signal processing, statistics and machine learn...
Convex Optimization
by Stephen Boyd , Henryk Blasinski- 0.0
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8 Weeks
The syllabus includes: convex sets, functions, and optimization problems; basics of convex analysis; least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems; optimality conditions, duality theory, theorems of alternative, and applications; interior-point methods; applications to signal processing, statistics and machine learning, control and mechanical engineering, digital and analog circuit design, and finance....
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