Data mining defines the process of analysis of big data sets to find valuable insights. The process involves cleaning data of incomplete records and creating visualizations of meaningful insights of large datasets generated in the fields of machine learning and artificial intelligence. One of the essential data mining tools is R which is a popular, no-cost programming language for statistics.
The course will take you through the basic understanding of data mining fundamentals, predictive analytical skills, data exploration, and visualization. The consecutive models are structured in a way to give you a holistic training of mathematical basics and techniques of R, how to install R software, terms, and characteristics of how to put data into an R session. The course also demonstrates a profound knowledge of data classification, building classification trees, linear modeling, regression, logistic regression, and different cluster analysis techniques. A thorough understanding of different algorithms in data mining will give you the foundation to deal with complex real-world problems in various industries and government sectors. The skills that you gain will give you the confidence to analyze the large data sets of modern world businesses and have a progressive career field as a data scientist.
To begin, enroll in the Specialization and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time.
You'll need to successfully finish the all modules / articles / hands-on Project to complete the Specialization and earn your certificate
When you finish this course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.
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Note: Prime Courses is a learner-supported platform. When you buy through links on our site, we may earn an affiliate commission.Data scientists with R programming skills are one of the sought-after job options today. A quick search on LinkedIn or Glassdoor will give you multiple job openings.
The average annual pay as an R programmer in data mining can vary based on certifications, skills, and experience. The average annual pay is around $93k.
R programming language has been widely used across industries and businesses for the last two decades. This is an open-source language tool used by companies that had been previously using expensive statistical analysis tools such as SPSS, and SAS. However, in the modern world with the huge outbursts of data everywhere, R is a game-changer that can process huge data sets, visualize the results, and relevant and easy-to-understand reports. Due to its open-source nature and extremely versatile features such as the ggplot2 visualization library, it is immensely effective in business intelligence.
Every other industry in recent times is using R as a convenient statistical tool, be it in academics, health, IT, finance, or banking. Many of the big companies such as Amazon, Google, and IBM are using R and the constant addition of new functionalities and up-gradation has made it the way to go as a statistical programming tool. Currently, there are around 1 million job openings for R programmers around the world which are expected to grow only with the breakthrough of the latest cutting-edge technologies and data explosion in the foreseeable future. So, this is probably the best time you can upgrade your skills as an R programmer and set up an extraordinary career in big companies around the world through data mining.
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