Data Science Using R Course
Welcome to the Data Science Using R Course at Livewire Velgrow Academy, Mylapore, Chennai. This course is designed to equip you with the skills and knowledge needed to become proficient in data science using the R programming language. R is widely used for statistical computing and graphics, making it an essential tool for professionals in various fields, including data analysis, research, and business intelligence.
Throughout the course, you will:
- Learn the fundamentals of R programming, including data types, variables, and operators.
- Understand how to work with data structures in R, such as vectors, matrices, and data frames.
- Gain proficiency in manipulating and transforming data using R packages like dplyr and tidyr.
- Learn how to perform statistical analysis using R, including hypothesis testing and regression analysis.
- Explore data visualization techniques using R packages like ggplot2.
- Understand how to work with external data sources, such as databases and APIs, in R.
- Learn advanced topics in data science, such as machine learning algorithms, text mining, and time series analysis.
By the end of the course, you will have the skills and knowledge needed to use R for a wide range of data science applications, making you a valuable asset in the job market.
For inquiries, please contact us at 95662 96989 or email us at support@livewiremylapore.in.
Enroll now and take the first step towards becoming a proficient data scientist using R!
Quick Enquiry
FQA - Frequently Asked Questions
No prior programming or statistical knowledge is required. However, familiarity with basic mathematics and a willingness to learn are essential.
The course duration is 3 months, with classes held twice a week.
Yes, a certificate of completion will be provided to all students who successfully complete the course.
We offer a 100% satisfaction guarantee. If you are not satisfied with the course, you can request a refund within the first 30 days of the course start date.
Classes are held on weekdays in the evenings and on weekends in the mornings. The specific schedule will be provided to enrolled students.
