Data Science: R Programming For Data Science Complete Bootcamp

Data is everywhere, dictating decisions in every industry imaginable. But how do you turn raw data into valuable insights? That's where R, the world's leading language for data science, comes in. This comprehensive bootcamp equips you with the in-demand skills to wrangle, analyse, and visualise data like a pro, opening doors to exciting careers in data science.

Learning Outcomes:

• Master the fundamentals of R Programming and RStudio for Data Science applications.
• Understand essential data structures such as vectors, matrices, factors, and data frames.
• Apply relational and logical operators proficiently to manipulate and analyse datasets.
• Develop proficiency in writing conditional statements and loops for data processing.
• Explore advanced topics including functions, regular expressions, and date/time manipulation.
• Utilise R packages effectively for enhanced data analysis and visualisation.
• Gain hands-on experience with the Apply Family functions and dplyr for efficient data manipulation.

Certificate of Completion (Hard Copy)

Hard copy certificate - Included

Certificate of Completion (PDF)

Digital certificate - Included

Throughout this course, you'll embark on a journey through 22 meticulously crafted units, covering everything from the fundamentals of R and RStudio to advanced topics like Data Manipulation with dplyr. Dive into the realm of vectors, matrices, factors, and data frames, mastering essential data structures for effective analysis and interpretation. Explore the power of relational and logical operators, conditional statements, and loops to unravel complex datasets and derive actionable insights.

Join us today and embark on a transformative journey towards becoming a proficient Data Scientist!

Course Curriculum:

• Unit 01: Data Science Overview
• Unit 02: R and RStudio
• Unit 03: Introduction to Basics
• Unit 04: Vectors
• Unit 05: Matrices
• Unit 06: Factors
• Unit 07: Data Frames
• Unit 08: Lists
• Unit 09: Relational Operators
• Unit 10: Logical Operators
• Unit 11: Conditional Statements
• Unit 12: Loops
• Unit 13: Functions
• Unit 14: R Packages
• Unit 15: The Apply Family - lapply
• Unit 16: The Apply Family – sapply & vapply
• Unit 17: Useful Functions
• Unit 18: Regular Expressions
• Unit 19: Dates and Times
• Unit 20: Getting and Cleaning Data
• Unit 21: Plotting Data in R
• Unit 22: Data Manipulation with dplyr

• Aspiring Data Scientists eager to strengthen their R programming skills.
• Professionals seeking to transition into Data Science roles.
• Students pursuing degrees in Data Science or related fields.
• Anyone interested in harnessing the power of R for Data Science applications.

• Data Analyst: £25,000 - £45,000 per annum
• Data Scientist: £30,000 - £70,000 per annum
• Business Intelligence Analyst: £25,000 - £55,000 per annum
• Machine Learning Engineer: £35,000 - £90,000 per annum
• Statistician: £25,000 - £60,000 per annum
• Data Engineer: £30,000 - £80,000 per annum

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