[LinkedIn] Complete Guide to R: Wrangling, Visualizing, and Modeling Data
Download this torrent!
[LinkedIn] Complete Guide to R: Wrangling, Visualizing, and Modeling Data
To start this P2P download, you have to install a BitTorrent client like qBittorrent
Category: Other
Total size: 854.34 MB
Added: 2025-03-10 23:39:07
Share ratio:
23 seeders,
4 leechers
Info Hash: 264E78459680CA3C9EA6765D2C8184FCC5853567
Last updated: 14.4 hours ago
Description:
Official Course URL: https://www.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