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19 students
Data Science Using R
"Data Science Using R: Comprehensive Training in Data Analysis, Visualization, and Machine Learning Techniques .
Created byIIBM Institute of Business Management
Last updated 10/2024
English
What you'll learn
- Proficient R Programming: Develop a solid foundation in R programming for data manipulation, analysis, and visualization.
- Statistical Analysis Skills: Apply statistical methods and machine learning algorithms to derive meaningful insights from datasets.
- Data Visualization Mastery: Create compelling visualizations using ggplot2 to effectively communicate data findings and trends.
- Practical Application: Complete real-world projects that enhance problem-solving abilities and demonstrate proficiency in data science concepts.
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Course content
16 sections • 20 lectures • 19h 22m total length
Requirements
- To enroll in the Data Science Using R course, participants should have a basic understanding of programming concepts, as familiarity with any programming language will facilitate the learning process. A foundational knowledge of statistics is also beneficial, as it will help students grasp essential data analysis techniques more effectively. Additionally, proficiency in general computer literacy and software applications is required to navigate R and its associated tools. Most importantly, a strong eagerness to learn and a curiosity about data science are crucial for success in this course. These prerequisites will ensure that all students are well-prepared to dive into the exciting world of data science.
Description
This course, "Data Science with R," is designed for aspiring data scientists and analysts seeking to harness the power of R for data manipulation, analysis, and visualization. Participants will begin by gaining a solid foundation in R programming, covering key concepts such as data types, structures, and essential functions.
As the course progresses, students will delve into data wrangling techniques using packages like dplyr and tidyr, enabling them to clean and prepare datasets for analysis. The curriculum emphasizes statistical analysis, including hypothesis testing, regression models, and machine learning algorithms, empowering participants to draw meaningful insights from their data.
Visualization is a key focus, with instruction on using ggplot2 to create informative and engaging graphics that communicate results effectively. Real-world case studies and hands-on projects will provide practical experience, allowing students to apply their skills to actual data challenges.
By the end of the course, participants will have developed a comprehensive toolkit for data science, including proficiency in R, an understanding of statistical methodologies, and the ability to present their findings clearly. This course is perfect for those looking to kickstart a career in data science or enhance their analytical capabilities in any field and sorroundings.
IIBM Institute of Business Management.
Who this course is for:
- This course is for aspiring data scientists, analysts, and researchers seeking to enhance their R programming skills, gain insights from data, and apply analytical techniques in real-world scenarios.