There are no formal prerequisites for attending this Data Science with R Training course.
This course is intended for anyone who wants to learn about the methods of analysing data using the R programming language.
Data Science with R Training Course Overview
Data science is the study of vast amounts of data using current methodologies and tools to discover previously unknown patterns, derive valuable information, and make profitable business decisions. R is essential for data science that is commonly used as a data analysis tool and statistical software. R for data science delivers extensive support for data wrangling, statistical modelling, and machine learning techniques to obtain insights. Businesses can monitor, manage, and gather performance metrics with the aid of data science to enhance decision-making throughout the firm. This training session equips learners with R programming that deals with data science to help organisations analyse data and make more informed strategic decisions. Individuals with expertise in Data Science and programming skills will get higher designations that ultimately expand their employment options and raise their income.
This 2-day Data Science with R Training will provide delegates with a comprehensive knowledge of Data Science and how it works with R. Delegates will become familiar with data pre-processing that ensures the quality of the data by cleaning and transformation. They will also get acquainted with summary statistics that deal with summarised and effective representation of statistical data. This course will deliver by a highly professional and skilled trainer with years of teaching experience, who will make every effort to ensure that delegates apply data science abilities to countless businesses, assisting them in data analysis and better business decisions.
You may apply your data science abilities to a number of businesses, assisting them in data analysis and better business decisions, thanks to this data science with R course.
- To create social web pages for storing and managing a vast amount of data
- To transform raw data into furnished data products by churning raw data
- To develop new features and normalise data based on the existing ones
- To analyse and construct insights from the data with data science
- To collect the data for utilising outcomes on a more practical level
- To find the data and group the objects with similar attributes
At the end of this training, delegates will be able to transform and visualise information using R programming and attain insights about future events. They will also be able to perform data wrangling and facilitate different functions for DataFrame using the dplyr package