R Programming: Practical Data Science and Modeling
Applying R Programming to Real-World Data Science and Modeling Challenges
Created by John Bura
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Skill level
All levels
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Sections
1
03
Lectures
6
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Instructor
John Bura
What's inside
This course includes.
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1
Sections
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6
Lectures
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5
Resources
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Certificate of completion
Included
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Mobile and desktop access
Included
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AI learning assistance
Included
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Course content
Curriculum & lectures.
+ Main Curriculum 6 lectures
1) 1St Hour - Course Overview And Data Setup
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2) 2Nd Hour - Functions In R
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3) 3Rd Hour - Regression Model
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4) 4Th Hour - Regression Models Continued And Classification Models
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5) 5Th Hour - Classification Models Continued, Rmark Down And Excel
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Source Files
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Description
About this course.
Course Title: "R Programming: Practical Data Science and Modeling"
Course Description:
Embark on a hands-on journey through the realm of practical data science and modeling with our comprehensive course, "R Programming: Practical Data Science and Modeling." Tailored for aspiring data scientists and analysts, this course provides a deep dive into R programming, covering essential concepts, data manipulation, regression models, classification models, and practical applications of R in data science.
Throughout the course, participants will engage in hands-on exercises, real-world projects, and collaborative activities to reinforce their understanding of R programming and its practical applications in data science. By the end of the program, learners will possess the skills to manipulate, analyze, and model data effectively using R.
Join us in the "R Programming: Practical Data Science and Modeling" course and unlock the potential to apply R programming for real-world data science challenges, from data manipulation to building predictive models.
Instructors
Taught by people who ship.
John Bura
Founder and CEO of Mammoth Club and Course Pro, the #1 AI-powered Learning Management System for course and content development, training and evaluation.
Ready to start building?
Applying R Programming to Real-World Data Science and Modeling Challenges