Search result for Calculus Online Courses & Certifications
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Pretensioned Structures
by Julio Ramirez- 0.0
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5 Weeks
The following subjects are used to solve engineering problems: calculus and differential equations; use of computer tools, data manipulation, statistical analysis, numerical calculation, and reinforced concrete design principles....
$750
Math in Sports
by Anne Pilkington , Michael Hildreth- 0.0
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4 Weeks
We will also see how elementary Calculus provides insight into the biomechanics of sports and how game theory can help improve an athlete’s strategy on the field....
$50
A-level Mathematics for Year 12 - Course 2: Calculus, Newton’s Laws and Hypothesis Testing
by Philip Ramsden , Phil Chaffe- 0.0
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7 Weeks
Develop your thinking skills, fluency and confidence to aim for an A* in A-level mathematics and prepare for undergraduate STEM degrees. This course by Imperial College London is designed to help you develop the skills you need to succeed in your A-level mathematics exams. You’ll also be encouraged to consider how what you know fits into the wider mathematical world....
$49
Algorithmic Thinking (Part 1)
by Luay Nakhleh , Scott Rixner , Joe Warren- 4.7
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Approx. 12 hours to complete
Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. In part 1 of this course, we will study the notion of algorithmic efficiency and consider its application to several problems from graph theory. Module 1 - Core Materials...
Supervised Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.8
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Approx. 11 hours to complete
This course introduces you to one of the main types of modelling families of supervised Machine Learning: Regression. You will learn how to train regression models to predict continuous outcomes and how to use error metrics to compare across different models. This course also walks you through best practices, including train and test splits, and regularization techniques....
Guided Tour of Machine Learning in Finance
by Igor Halperin- 3.8
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Approx. 24 hours to complete
Experience with Python (including numpy, pandas, and IPython/Jupyter notebooks), linear algebra, basic probability theory and basic calculus is necessary to complete assignments in this course....
Unsupervised Learning
by Mark J Grover , Miguel Maldonado- 4.9
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Approx. 9 hours to complete
This course introduces you to one of the main types of Machine Learning: Unsupervised Learning. You will learn how to find insights from data sets that do not have a target or labeled variable. You will learn several clustering and dimension reduction algorithms for unsupervised learning as well as how to select the algorithm that best suits your data....
Specialized Models: Time Series and Survival Analysis
by Mark J Grover , Miguel Maldonado- 4.5
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Approx. 11 hours to complete
This course introduces you to additional topics in Machine Learning that complement essential tasks, including forecasting and analyzing censored data. You will learn how to find analyze data with a time component and censored data that needs outcome inference. You will learn a few techniques for Time Series Analysis and Survival Analysis....
Supervised Machine Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.7
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Approx. 11 hours to complete
This course introduces you to one of the main types of modelling families of supervised Machine Learning: Regression. You will learn how to train regression models to predict continuous outcomes and how to use error metrics to compare across different models. This course also walks you through best practices, including train and test splits, and regularization techniques....
Unsupervised Machine Learning
by Mark J Grover , Miguel Maldonado- 4.8
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Approx. 9 hours to complete
This course introduces you to one of the main types of Machine Learning: Unsupervised Learning. You will learn how to find insights from data sets that do not have a target or labeled variable. You will learn several clustering and dimension reduction algorithms for unsupervised learning as well as how to select the algorithm that best suits your data....
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