雷火电竞直播官网
- 4 Courses | 9h 5m 59s
- 6 Books | 29h 54m
- Includes Lab
In this Bootcamp students will automate their intelligence gathering with R, an easy-to-learn programming language that takes care of tedious data collection and cleanings tasks. This course will give students the foundational tools they need to work with data in R and build insightful visualizations. By the end of this course, students will be able to import and clean data in R, define how data science is used commercially, and quickly build data visualizations. While no prerequisites are required, people with some experience working with data are best suited for this Bootcamp. Prior to the live sessions, it is recommended that you download and install R studio (https://rstudio.com/products/rstudio/download/#download) and R (https://cran.r-project.org/).
COURSES INCLUDED
Introduction to R and Visualization Bootcamp: Session 1 Replay
This is a recorded Replay of the Introduction to R and Visualization Live session that ran on May 17th at 11 AM ET.
3 videos | 2h 35m
Badge
Introduction to R and Visualization Bootcamp: Session 2 Replay
This is a recorded Replay of the Introduction to R and Visualization Live session that ran on May 17th at 11 AM ET.
3 videos | 2h 21m
Badge
Introduction to R and Visualization Bootcamp: Session 3 Replay
This is a recorded Replay of the Introduction to R and Visualization Live session that ran on May 19th at 11 AM ET.
3 videos | 2h 20m
Badge
Introduction to R and Visualization Bootcamp: Session 4 Replay
This is a recorded Replay of the Introduction to R and Visualization Live session that ran on May 20th at 11 AM ET.
1 video | 2h 22m
Badge
SHOW MORE
FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THESE COURSES
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion on some of our courses, which can be shared on any social network or business platform.
Digital badges are yours to keep, forever.BOOKS INCLUDED
Book
R for Programmers: Mastering the Tools
Examining cases with valuable combinations of interdisciplinary knowledge, theory, and practice, this thorough resource for programmers serves as a reference book on R, introducing more than 30 R packages that are convenient to look up, and will help readers extend their scope of knowledge.
3h 20m
By Dan Zhang
Book
Data Visualisation with R: 100 Examples
Offering a comprehensive introduction to creating presentation graphics with R, this book presents the complete code of 100 examples from various fields and includes step-by-step explanations of the programming of figures, based on real data.
4h 12m
By Thomas Rahlf
Book
Practical Data Science with R, Second Edition
Providing numerous tools, modeling techniques, and real-world use cases, this invaluable resource takes a practice-oriented approach to explaining basic principles in the ever-expanding field of data science.
9h 8m
By John Mount, Nina Zumel
Book
Learn R for Applied Statistics: With Data Visualizations, Regressions, and Statistics
For those who want to learn R programming for statistics, this resource is a timely skills-migration book that equips you with the R programming fundamentals and introduces you to applied statistics for data explorations.
1h 48m
By Eric Goh Ming Hui
Book
R in Action: Data Analysis and Graphics with R, Second Edition
Focusing on practical solutions, this book offers a crash course in statistics and covers elegant methods for dealing with messy and incomplete data that are difficult to analyze using traditional methods.
9h 19m
By Robert Kabacoff
Book
R for Data Analysis in Easy Steps
For anyone who wants to produce graphic visualizations to gain insights from gathered data, this book will give you a sound understanding of R programming so you will be able to write your own scripts that can be executed to produce graphic visualizations for data analysis.
2h 7m
By Mike McGrath
SHOW MORE
FREE ACCESS