Search result for Certificate in computational science Online Courses & Certifications
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Data Science: R Basics
by Rafael Irizarry- 0.0
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8 Weeks
Build a foundation in R and learn how to wrangle, analyze, and visualize data. The first in our Professional Certificate Program in Data Science, this course will introduce you to the basics of R programming. How to perform operations in R including sorting, data wrangling using dplyr, and making plots...
$149
3D Data Visualization for Science Communication
by Kalina Borkiewicz , AJ Christensen- 0.0
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Approx. 32 hours to complete
This course is an introduction to 3D scientific data visualization, with an emphasis on science communication and cinematic design for appealing to broad audiences. Computational Science Computational Resources...
Python Project for Data Science
by Azim Hirjani , Joseph Santarcangelo- 4.4
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Approx. 6 hours to complete
This course is part of the IBM Data Science Professional Certificate and the IBM Data Analytics Professional Certificate. Demonstrate your Skills in Python - the language of choice for Data Science and Data Analysis Apply Python fundamentals, Python data structures, and working with data in Python...
The Math of Data Science: Linear Algebra
by Stephen Wang- 0.0
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8 Weeks
However, learning the subject is not principally about acquiring computational ability, but is more a matter of fluency in its language and theory. In this course, we will start with systems of linear equations, and connect them to vectors and vector spaces, matrices, and linear transformations....
$159
Financial Engineering and Risk Management Part I
by Martin Haugh , Garud Iyengar- 4.6
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Approx. 18 hours to complete
Financial Engineering is a multidisciplinary field drawing from finance and economics, mathematics, statistics, engineering and computational methods. The emphasis of FE & RM Part I will be on the use of simple stochastic models to price derivative securities in various asset classes including equities, fixed income, credit and mortgage-backed securities. Option Pricing in the 1-Period Binomial Model...
Improving Your Statistical Questions
by Daniel LakensTop Instructor- 4.9
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Approx. 18 hours to complete
If you have the time, it is recommended that you complete my course 'Improving Your Statistical Inferences' before enrolling in this course, although this course is completely self-contained. 1: Falsifying Predictions in Theory 3: Falsifying Predictions in Practice 2: Philosophy of Science in Practice 2: Does Your Philosophy of Science Matter in Practice?...
Essentials of Genomics and Biomedical Informatics
by Ron Unger , Ronen Tal-Botzer- 0.0
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12 Weeks
The syllabus covers the main topics of this discipline in a logical order: ● Use of machine learning and artificial intelligence tools to mine the huge databases of medical information accumulating in Electronic Medical Records (EMRs), the Web, and numerous data science projects in medicine ● First-hand experience in a computational analysis in the practice sessions...
$49
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Sports and Building Aerodynamics
by Bert Blocken- 4.8
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Approx. 24 hours to complete
Have we reached the boundaries of what can be achieved in sports and building design? According to the 2016 Academic Ranking of World Universities (Shanghai Ranking) & Elsevier, he is among the 150 most cited researchers world-wide both in the field of Civil Engineering and in the field of Energy Science & Engineering....
24h Pro data science in R
by Francisco Juretig- 3.6
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18.5 hours on-demand video
Practice data science with 24hs of material using real examples This course explores several modern machine learning and data science techniques in R. The teaching approach is to briefly introduce each technique, and focus on the computational aspect. This course covers most of what you would need to work as a data scientist, or compete in Kaggle competitions....
$12.99
Data Science: Linear Regression
by Rafael Irizarry- 0.0
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8 Weeks
This course, part ofourProfessional Certificate Program in Data Science, covers how to implement linear regression and adjust for confounding in practice using R. In data science applications, it is very common to be interested in the relationship between two or more variables. How to examine the relationships between variables by implementing linear regression in R...
$99
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