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[LinkedIn] Complete Guide to R Wrangling, Visualizing, and Modeling Data

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Name:[LinkedIn] Complete Guide to R Wrangling, Visualizing, and Modeling Data
Description:
Request a Course: docs.google.com/forms

Official Course URL: linkedin.com/learning/complete-guide-to-r-wrangling-visualizing-and-modeling-data

Course Overview:  
Dive into the advanced functionalities of R with Complete Guide to R: Wrangling, Visualizing, and Modeling Data. This course, led by data analytics expert Barton Poulson, provides a deep dive into the crucial techniques of data wrangling, visualization, and modeling with R. Ideal for intermediate learners looking to enhance their skills, the course offers hands-on examples and detailed instruction.

What You'll Learn:  
- Data Wrangling: Master the import, cleansing, and conversion of data for detailed analysis.  
- Data Visualization: Create impactful visualizations like bar charts, histograms, and scatterplots.  
- Data Transformation: Efficiently handle categorical, qualitative, and outlier data to meet research needs.  
- Modeling Techniques: Develop and apply statistical models to interpret complex datasets.

Course Benefits:  
- Expert Instruction: Learn from Barton Poulson, a seasoned expert in data analytics.  
- Comprehensive Content: Gain thorough insights with 70 detailed lessons.  
- Practical Experience: Engage in exercises that reinforce data manipulation and analysis skills.  
- Resource Access: Utilize R and RStudio to their fullest potential with guided navigation and examples.

Total Hours of Course: 8 hours 15 minutes

Course Size: 854.3 MB  

Subtitles: English, Persian  

Who is this course for?  
Ideal for those with a foundational knowledge of R programming, looking to advance in data wrangling, visualization, and modeling to enhance their analytical skills in various research or industry applications.
YouTube Video:
Category:Tutorials
Language:English  English
Total Size:854.34 MB
Info Hash:264E78459680CA3C9EA6765D2C8184FCC5853567
Added By:SunRiseZone Iron Man
Date Added:2024-11-30 23:08:29
Torrent Status:Torrent Verified


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