Land A Job By Learning Data Science With R!

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R is a programming language that was created to focus on delivering a more user-friendly and better way to perform statistics, data analysis, and graphical modules. Initially, R was only used for research and academic purposes. However, it has made its way to being used in enterprises too. There are bright job prospects for any data scientist who also knows R. Companies like Genpact, Accenture and Wipro are looking for data scientists who have expertise on R and associated technologies. Data Science with R Training seems to be the perfect choice for anyone who wants to work in below mentioned profiles.

  1. Data Scientist

Data scientists are responsible for making value out of data. They collect information from various sources and analyze it for better understanding to build AI tools that automate certain processes within the company. It is important for data scientists to have experience with common data science toolkits, such as R, Weka, NumPy, MATLAB, etc. As a data scientist, you will be expected to be proficient in creating various machine learning-based tools within the company, like recommendation engines and automated lead scoring systems. Data Scientist is definitely one of the highest paid roles in this industry.

  1. Data Analyst

Data Analysts transform and manipulate large data sets to suit the desired analysis for companies. Few of the top companies always looking for data analysts are Walmart, GAP, Bank of America, and Kohler. Learning data science with R combines technical and analytical knowledge with ingenuity for professionals. Some of the important skills required to become a successful data analyst are spreadsheet tool, database system, mathematics, stats, machine learning, etc.

  1. Analyst Manager

Data analyst managers give direction to a team of data analysts. They are responsible for overseeing the work of an analytics department and ensuring its accuracy. Analyst managers can earn anything between $96,000 and $115,000 per annum. In order to succeed as an analyst manager, it is advisable for professionals to seek certification in the use of analytics software.

  1. Data Engineer

Data engineers are important members of any enterprise data analytics team. They are required to perform batch processing or real-time processing on gathered and stored data, and make data readable for data scientists. Average salary of a data engineer is around $151,307. Spotify, Verizon, General Motors, and Shutterfly are some of the popular companies who are always on a lookout for certified data engineers.

Multisoft Systems provides Data Science with R Training in Noida that consists of learning sessions conducted by industry expert trainers. This training program focuses on techniques such as linear and logistic regression, ANOVA, Segmentation, Ensemble models, SVM and machine learning in big data. You will learn to explore R data structures and syntaxes, read and write data from a local file to a cloud-hosted database, create functions and use control flow, work with data in R, and much more.

About the author: Nisha Negi is a Technical Content Writer at Multisoft Systems. She writes blog posts and articles on various technical subjects. She is an experienced IT professional, and bears immense knowledge of the latest technology. She stays current with all the ongoing and upcoming certifications. Her way of expression is contemporary and crisp.

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