05-14-2024, 09:56 AM
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Last updated 5/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 698 Lessons ( 91h ) | Size: 12.8 GB
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Launch Your Career in Data Science. A ten-course introduction to data science, developed and taught by leading professors.
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What you'll learn
Use R to clean, analyze, and visualize data.
Navigate the entire data science pipeline from data acquisition to publication.
Use GitHub to manage data science projects.
Perform regression analysis, least squares and inference using regression models.
Skills you'll gain
Github
Machine Learning
R Programming
Regression Analysis
This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you'll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.
Homepage
Last updated 5/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 698 Lessons ( 91h ) | Size: 12.8 GB
[/center]
[center]
Launch Your Career in Data Science. A ten-course introduction to data science, developed and taught by leading professors.
[/center]
What you'll learn
Use R to clean, analyze, and visualize data.
Navigate the entire data science pipeline from data acquisition to publication.
Use GitHub to manage data science projects.
Perform regression analysis, least squares and inference using regression models.
Skills you'll gain
Github
Machine Learning
R Programming
Regression Analysis
This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you'll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.
Homepage
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