Search result for Mathematics for data science Online Courses & Certifications
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Linear Algebra for Beginners: Open Doors to Great Careers
by Richard Han- 4.3
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7 hours on-demand video
Would you like to learn a mathematics subject that is crucial for many high-demand lucrative career fields such as: You need to learn linear algebra because it is a required mathematical subject for your chosen career field such as computer science or electrical engineering. Practice problems are provided for you, and detailed solutions are also provided to check your understanding....
$13.99
Data Science in Real Life
by Brian Caffo, PhD , Jeff Leek, PhD , Roger D. Peng, PhD- 4.4
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Approx. 7 hours to complete
Have you ever had the perfect data science experience? This is a focused course designed to rapidly get you up to speed on doing data science in real life. 1, Describe the “perfect” data science experience Describe possible pitfalls when pulling / assembling data and learn solutions for managing data pulls....
Learn By Example: Statistics and Data Science in R
by Loony Corn- 3.8
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9 hours on-demand video
A gentle yet thorough introduction to Data Science, Statistics and R using real life examples Data Science, Statistics and R: This course is an introduction to Data Science and Statistics using the R programming language. Data Visualization in R: Line plot, Scatter plot, Bar plot, Histogram, Scatterplot matrix, Heat map, Packages for Data Visualisation : Rcolorbrewer, ggplot2...
$12.99
Network Analysis in Systems Biology
by Avi Ma’ayan, PhD- 4.5
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Approx. 30 hours to complete
The course contains practical tutorials for using tools and setting up pipelines, but it also covers the mathematics behind the methods applied within the tools. Resources for Data Integration Resources for Data Integration - Part 1 Resources for Data Integration - Part 3 Resources for Data Integration - Part 4 Resources for Data Integration...
Math for Machine Learning
by Richard Han- 4
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5 hours on-demand video
Learn the core topics of Machine Learning to open doors to data science and artificial intelligence. Would you like to learn a mathematics subject that is crucial for many high-demand lucrative career fields such as: You need to learn machine learning because it is a required mathematical subject for your chosen career field such as data science or artificial intelligence....
$11.99
Paradox and Infinity
by Agustín Rayo , Cosmo Grant , David Balcarras- 0.0
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12 Weeks
Please see the FAQ section below for additional information. Note: learners who do well in Paradox will have typically taken at least a couple of college-level classes in mathematics or computer science. On the other hand, Paradox does not presuppose familiarity with any particular branch of mathematics or computer science....
$99
Advanced R Programming
by Roger D. Peng, PhD , Brooke Anderson- 4.3
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Approx. 18 hours to complete
This course covers advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. Because every data science environment encounters unique data challenges, there is always a need to develop custom software specific to your organization’s mission. for Loops Nested for loops Reuse existing data structures...
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Introduction to Data Science in Python
by Christopher Brooks- 4.5
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Approx. 31 hours to complete
The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. Describe common Python functionality and features used for data science...
Getting Started with Data Visualization in R
by Collin Paschall- 4.8
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Approx. 12 hours to complete
Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. R for Data Science, Chapter 4...
Mathematical Thinking in Computer Science
by Alexander S. Kulikov , Michael Levin , Владимир Подольский- 4.4
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Approx. 40 hours to complete
Mathematical thinking is crucial in all areas of computer science: algorithms, bioinformatics, computer graphics, data science, machine learning, etc. Number of Solutions for the 8 Queens Puzzle Bonus Track: Algorithm for 15-Puzzle...
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