Nowadays data analytics is widely used in many industries to identify and analyze data as per authoritative necessities. Also, the data is used to upgrade business efficiency and gain. Thus, as an engineer, it is mandatory to know about data analytics if you want to pursue a career in this field. In this article we are going to discuss things like R program, data analytics projects using R, how to start a data analytics project, innovative data analytics projects for engineering students, etc.
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Data analytics is the study and analysis of data in order to reach useful outcomes. When it comes to statistical computing, then everyone prefers the R programming language. It is a free open source software built especially for data analysis and data mining. It not only does data analysis but is also widely used to create software and other applications. With the graphical interface an add on feature of R programming language, this R language can be applied to various data analytics, linear and nonlinear modeling, time series analysis and many more. R language also has enough provisions to implement data sciences and machine learning algorithms. The first question that pops in any student’s mind is that what is the need to learn R for data analytics. Here are some points to be noted R, that will make it easier for you to understand its benefits.
R programming language is now being used around the world in various firms and companies. The most basic use being collection, analysis of data and production of useful results using this data analytics for the benefit of the consumer and the company. Companies now don't have to wait for manual feeding of data and output production. With the R language, anyone can custom build data analytics programs that suit best to its interest and get the optimized results with limited manual work and fast response.
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The main focus of using R in data analytics is exploratory data analysis. In this type of data analysis, the R programming language helps to summarize and visualize the data set in such a way that the basic understanding of the data set and its structure is known. It helps in knowing the data’s origin and further in developing an algorithm for proper analysis and detailed visual representation. So, using R for data analytics is preferred over other languages.
R language consists of four main parts. These are
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R data analytics allows users to analyze a wide variety of datasets by using its features and installed packages. Some of the data sets that can be analyzed using R data analytics concepts are as follows:
R programming also has the capability to deal with other structures such as if-else, for and while. R programming for data analytics is so common and easier because of the above mentioned wide variety of functions.
But this technology may appear difficult and wired at starting. That’s where the role of Skyfi labs come. Skyfi Labs provide step by step proper guidance to students.
Below are mentioned some few steps to start any new project on data science:
1. Data Analytics using R:
In this data analytics project, you will learn from basic to advance data analytics. You will also get step by step guidance to use the R programming language. You will get to perform real-time analysis on World Happiness and Diamond quality data sets. This entire project is divided into various sections. Section 1 contains an introduction to data analytics using the R programming language. You will also learn all the installation steps for R. Section 2 is all about R language, starting from the very beginning from its different types of data, loops, conditions, and matrices. Section 3 consists of the functions and various data frames in R. section 4 and 5 is about data manipulation and visualization. And at last, all of these concepts are applied in the module to develop the final project on data analytics using the R language.
2. Fake news detection using Data analytics:
In this data analytics project, you will use news.csv data set to detect fake news. You will also learn about modules like numPY, pandas, Sklearn, etc. while doing this project
3. Height and weight prediction data analytics project
As part of this data analytics project, you will use heights and weights dataset to develop the height and weight prediction model.
Apart from the above-mentioned projects, you can also refer to:
Skyfi labs provide an overall development training course on R programming and data analytics.
So anyone willing to study this new technology in order to take it to an advanced level like data analytics can now enroll in Skyfi labs R programming language data analytics courses.
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