igmGuru's Data Science with R Online program is designed by some of the best professionals in the industry and the faculties teaching at the best of the universities globally. The aim of the course is to help the learner gain knowledge of essential techniques and topics practiced in the industry. igmGuru's Data Science with R course is aimed at preparing our learners to comprehend and use Data Science with R programming in a more industry-ready fashion. igmGuru’s Data Science with R Training online program is the gateway towards your Data Science career and crack the Data Science with R Certification Exam.
Our Data Science with R course online covers the following topics:
There are numerous ways of learning R programming for Data Science as there are endless courses floating around in the market. But what is it that makes this course stand apart from the rest. Here are a few points about this training program and its features which will help you decide. R is an open-source programming language used for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is globally used by data miners and statisticians to develop data analysis and statistical software and its libraries are being used for implementing graphical and statistical techniques, including classical statistical tests, linear and nonlinear modeling, classification, time-series analysis, clustering, and others. R can easily be extended via extensions and functions.
Additionally, the R community is noted for its active contributions in terms of packages. Data Science and with R certification course has been designed keeping in mind about learners who have zero to some level of exposure to R. Theoretical as well as application of the theoretical concepts through hands-on these statistical techniques are covered in our training course. The candidates are provided with various data sets for practicing and implementing statistical techniques during the session. These data sets can also be used to practice later on in the form of self-study, ultimately helping you in your journey to learn Data Science with R programming
The three main pillars to learn:
When learners learn Data Science with R programming modules, they will understand the need to focus on various use cases and some common applications/services of R. Once you gain theoretical knowledge, the course moves towards theoretically understanding Data Science workflow using R. The course will aid you in understanding the basic components of a Data Science model, from fetching data from your DB to building a model that is in a deployable form.
What are the key deliverables
As you will progress in the Data Science with R certification Training program, you will acquire the below skills
A good amount of content has also been dedicated to Natural Language Processing (NLP) techniques and various web scraping methodologies. NLP has been gaining a lot of popularity lately, owing to its use in our day-to-day life. FB posts, tweets, Mails, and WhatsApp chats are apt input for any NLP-based model. You will become experienced in NLP-based openings, which are nowadays considered to be a specialty within the Machine Learning branch.
Hence, assessing the market-based demands, we have specifically designed modules to upskill you in this area as well – mostly to learn Data Science with R programming. A very significant model in the area of NLP is Sentiment Analysis which is something we will be building to start things of and will move on to build much complex algorithms in this area.
A Data Science with R certification exam is a test that assesses a candidate's knowledge and skills in using R for data science tasks. The exam typically covers topics such as data wrangling, exploratory data analysis, statistical modeling, machine learning, and data visualization.
The format of the exam can vary depending on the organization offering the certification. Some exams may be taken online and consist of multiple-choice questions, while others may be taken in-person and consist of a combination of multiple-choice and open-ended questions.
To prepare for a Data Science with R certification exam, it is recommended to have a solid understanding of the R programming language, as well as experience working with data in R. Practicing with sample exam questions, working on data science projects, and reviewing relevant materials such as tutorials and documentation can also help in preparing for the exam.
It's important to note that different certification exams might have different focus and requirements, you should check with the organization offering the certification for more information.
The best way to learn data science with R is by enrolling in igmGuru’s Data Science with R online training program. Learn from subject experts with the right blend of knowledge and skills. Become a pro in these technologies with us.
Yes, R is being used for data science in various ways, including handling, analyzing, and storing data. R is also widely used for statistical modeling and data analysis.
Whether R is enough for data science for you depends upon your career goals and future wishes. For instance, R is a great option for those who are more interested in data visualization and statistical calculator aspects of being a data scientist. However, those who are interested in becoming a data scientist to work with deep learning algorithms, artificial intelligence, and big data, then you should also think about going for Python.
Both Python and R have their own perks in terms of being related to data science. Those interested in becoming a data scientist to primarily work with data visualizations and statistical analysis must go for R.
