R Programming for Data Science

Welcome to our online event, R Programming for Data Science! Whether you're a beginner or an experienced data scientist, this event is perfect for anyone looking to enhance their skills in R programming. Join us for a series of interactive workshops and sessions led by industry experts. Learn how to manipulate data, create visualizations, and perform statistical analysis using R. Don't miss this opportunity to level up your data science game from the comfort of your own home. Register now and take your R programming skills to the next level!

Delve into the world of data analysis with “R Programming for Data Science,” a course designed to guide learners through the intricacies of R, a premier programming language in the data science domain. The course opens with a broad perspective on data science, illuminating the pivotal role of R in this field. Learners are then introduced to R and RStudio, equipping them with the foundational tools and interfaces essential for R programming. The curriculum progresses with an introduction to the basics of R, ensuring learners grasp the core principles that underpin more complex operations.

A highlight of this course is its in-depth exploration of R’s versatile data structures, including vectors, matrices, factors, and data frames. Each unit is crafted to provide learners with a comprehensive understanding of these structures, pivotal for effective data handling and manipulation. The course also emphasizes the importance of relational and logical operators in R, key elements for executing data operations. As the course advances, learners will engage with the nuances of conditional statements and loops, essential for writing efficient and dynamic R scripts.

Moving into more advanced territories, the course delves into the creation and usage of functions, an integral part of R programming, and the exploration of various R packages that extend the language’s capabilities. Learners will also gain expertise in the ‘apply’ family of functions, crucial for streamlined data processing. Further units cover regular expressions and effective strategies for managing dates and times in data sets. The course concludes with practical applications in data acquisition, cleaning, visualization, and manipulation, ensuring learners are well-prepared to tackle real-world data science challenges using R.

Learning Outcomes

• Develop a foundational understanding of R’s role in data science and proficiency in RStudio.
• Gain fluency in R programming basics, enabling the handling of complex data tasks.
• Acquire skills in managing various R data structures for efficient data analysis.
• Master relational and logical operations for advanced data manipulation in R.
• Learn to create functions and utilize R packages for expanded analytical capabilities.

Why choose this R Programming for Data Science course?

1. Unlimited access to the course for a lifetime.
2. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course.
3. Structured lesson planning in line with industry standards.
4. Immerse yourself in innovative and captivating course materials and activities.
5. Assessments designed to evaluate advanced cognitive abilities and skill proficiency.
6. Flexibility to complete the Course at your own pace, on your own schedule.
7. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience.
8. Unlock career resources for CV improvement, interview readiness, and job success.

Who is this R Programming for Data Science course for?

• Beginners in data science eager to learn R programming.
• Data analysts and scientists looking to enhance their skills in R.
• Researchers in various fields requiring advanced data analysis tools.
• Statisticians seeking to adopt R for more sophisticated data manipulations.
• Professionals in finance, healthcare, and other sectors needing data-driven insights.

Career path

• Data Scientist (R Expertise): £30,000 – £70,000
• Data Analyst (R Programming Skills): £27,000 – £55,000
• Bioinformatics Scientist (R Proficiency): £35,000 – £60,000
• Quantitative Analyst (R Knowledge): £40,000 – £80,000
• Research Analyst (R Usage): £25,000 – £50,000
• Business Intelligence Developer (R Familiarity): £32,000 – £65,000

Prerequisites

This R Programming for Data Science does not require you to have any prior qualifications or experience. You can just enrol and start learning.This R Programming for Data Science was made by professionals and it is compatible with all PC’s, Mac’s, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.

Certification

After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8.

Disclaimer:
This is an online course consisting of pre-recorded sessions. Access to the course will be granted within 24 hours of enrolment.