Data Science & Machine Learning with R

Course details

The course begins with setting up a statistical programming environment by installing and configuring the necessary software. We delve into the fundamentals of R programming, covering generic programming language concepts as implemented in this high-level statistical language.

Our primary objective is to equip you with a deep understanding of R and to transform you into a professional Data Scientist proficient in R, paving the way for your first job in this field.

What is R?

R coding is a powerful and versatile programming language widely used for statistical computing, data analysis, and visualisation. Its extensive collection of libraries and packages empowers researchers, data scientists, and analysts to tackle complex data challenges easily. Whether exploring datasets, building predictive models, or creating interactive visualisations, R's flexibility and community support make it an invaluable tool for unlocking data-driven insights. Its open-source nature fosters collaboration, making R a top choice for anyone seeking to harness the true potential of data.
Throughout the program, we address practical issues in statistical computing, including data manipulation, reading data into R, utilising R packages, creating custom functions, and effectively debugging and profiling R code. By blending theoretical knowledge with practical applications, we guide you from R Programming basics to mastery.
We recognise the significance of theory in building a solid foundation, but we also understand that practical skills are equally crucial. Therefore, this course includes numerous hands-on examples that you can follow step by step. Whether you already have coding experience or seek to explore advanced features of the R programming language, this course caters to your needs.
R coding expertise is required or highly recommended in job postings for data scientists, machine learning engineers, BIG data engineers, IT specialists, and database developers, among other data-related roles. Gaining proficiency in R will enhance your resume and open up opportunities in these specialised fields, where mastery of statistical techniques is essential.
Join us to gain the foundational education required for writing code in R and analysing data, turning your newly developed programming skills into a rewarding career. Our comprehensive approach ensures that you not only learn R but also know how to leverage your expertise to secure well-paid ;

What you will learn

• Become a professional Data Scientist, Data Engineer, Data Analyst or Consultant.
• Learn data cleaning, processing, wrangling and manipulation
• How to create resume and land your first job as a Data Scientist
• Learn Machine Learning and it's various practical applications
• Learn Data and File Management in R
• Learn the Tidyverse
• Data visualization (ggplot2)
• Full-stack data science development
• Automating dynamic report generation
• How to write complex R programs for practical industry scenarios
• Learn Plotting in R (graphs, charts, plots, histograms etc)
• Step by step practical knowledge of R programming language
• Building web apps and online, interactive dashboards with R Shiny
• Use R to clean, analyze, and visualize data
• Learn Operators, Vectors, Lists and their application
• Data extraction and web scraping
• Building custom data solutions
• Data science for business

Updated on 17 August, 2023