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Tag: r programming course

Course | Data Visualisation with R Course (Includes Job Placement)

Posted on by Imarticus Learning

Course | Data Visualisation with R Course (Includes Job Placement)

R programming is one of the in-demand computer languages in the field of data analytics and data science. So, it comes as no surprise that many data analyst aspirant prefers to enrol on an R programming course in place of a Python programming course. That is because it is certainly a better option for data visualisation. The graphs and statistics are more elaborate than Python and are more intuitive.

Moreover, when compared to Python, it is also easy to master this computer language, and the learning curve is not too steep either. Other than that, most of the features in both programming languages are similar to a large extent.

What does the R Programming course consist of? 

If you are taking up a data visualisation course, then make sure you take up a course in R programming as well. What you will get to learn in this course is primarily the Grammar of Graphics. It is an extensive system which is used for building graphs and elaborately describing them. After you learn to make graphs in the R programming course, it progresses to the library and the stuff that comes under this subset of data visualisation.

First of all, you are taught how the package for data visualisation in R and ggplot2 is applied to generate box plots, basic bar charts, line plots, histograms, pie charts and scatter plots. These different types of graphical plotting will also help you master further customisation. The R programming course also teaches other techniques for visualising the data apart from generating charts and plots. You will also be taught about annotations and labelling in these graphs.

Additionally, there is a package called leaflet, which helps you to generate map plots and is one of the most powerful data visualisation packages in R as it can display data at various levels for better visualisation. It also helps plot data based on its geolocation, so it is highly useful for the meteorological department, where various weather-based data are displayed.

Finally, in an R programming course, you will learn how to build creative, intuitive and interactive dashboards using packages like R Shiny that can help to alter the appearance of your data app, which has been built in R.

Where can you enrol for data visualisation with an R course?

Although data visualisation courses are extremely popular and numerous institutes offer them, students should choose one based on their needs. A student should pick up a course that helps them to learn some useful techniques and give them hands-on experience through practical training in the labs and trying out various techniques in R. It will aid them in building various graphical models of data.

Many top technology companies are offering data analysis courses from their stables. But there is no data analytics course with placement. Moreover, the focus in these courses is rarely on R, which can be quite frustrating as a student cannot get an all-round perspective of the data analytics course.

In this regard, a solution can be the data analysis course offered by Imarticus Learning. It focuses on both Python and R and gives both programming languages equal weightage. You will be given both a basic run-in and advanced guidance on plotting various statistics and graphs with the help of R. You will get both classroom training and live online training. This coursework will give you enough exposure and help you succeed as a data scientist.

But before you enrol in this course, please ensure that you have some programming knowledge beforehand because this is an advanced course. Many websites and online academies have free R programming courses. In these courses, you learn about various packages like ggplot2, dplyr, mlr3, knitr and tidyverse. Once you have a good base in programming, especially in R, you can pick up various other requirements for the data visualisation course. You could also take up an internship role to get more practical exposure.

To sum up, finding an R programming course that offers theoretical and practical exposure is crucial. It helps you to get an in-depth understanding of the same and avoid facing troubles while implementing the same in the real world. So, find a course of your preference and secure placement in this popular field of data science. 

R Users Need To Study SAS Programming As Well, Here’s Why

Posted on by Imarticus Learning

When it comes to the IT industry, there are a number of debates, regarding various gadgets, operating systems, applications and so on. There is also one lesser-known debate, which takes place quite often in specific IT circles. This is the debate between SAS Programming and R Programming, two of the most popular and highly preferred tools in the data analytics industry.

The field of data analytics deals with great amounts of data in the virtual space, which is generated by companies, across different fields. While both of these data analytics tools, perform very similar functions, one very essential distinction between them is, that R Programming is an open source software, whereas SAS is a paid, licensed software. As there is a huge demand for highly skilled professionals in the field of data analytics, a lot of institutes have begun to offer courses in R and SAS training.

While R is an open sourced software, which means that it can easily be downloaded. This easy access is what has made it so popular in the data analytics field. While it is true that R can do everything that SAS can do, which is the opening argument of a lot of R users; it is also important to note that softwares like SPSS can also do what both R and SAS can do. While SAS Programming is a paid licensed product, R is free and this why it is believed to better than any other data analytics tool. This may be true in some aspects, where R users get to experience all the new and updated techniques whereas it takes a while for SAS Programming to assimilate them.

Think of it as a windows versus linux argument, where although Linux does everything similar to Microsoft, yet does not really have that much credibility in terms of the official usage. When R users opt for SAS training, they get to learn the not only the oldest tool in the market, but also a software that has been used as a default software in many companies for the past three decades now.

SAS Programming training will equip a professional to cover almost all the areas of statistical analysis and techniques. The fact that it is a licensed product, users can be sure that all the new additional changes are thoroughly tested by the support center.

R users getting trained in SAS would be able to handle large databases without any glitches like memory errors or becoming unresponsive. SAS is designed as a data manipulation language, which means that it can run intuitively and is very easy to learn, this would be a fresh change from the fact that R is more difficult to learn.

Although there are a lot of reasons why one would prefer R, mainly because it is free, can be updated, and has a huge community where one can find out problems, but it cannot be SAS.

This programming language is already a default software in a lot of companies, most of them do not even use it for analytics purposes. SAS provides a great support base, guarantee and is best tool to us in the long run. Hence it becomes a necessity for R users to try and master the skills of SAS programming.

 

R – What’s in it for me?

Posted on by Imarticus Learning

R is a programming language widely used in data analytics, research and statistical computing. It can be used to retrieve, clean, analyze, visualize data, which makes it a hot choice of data analysts, statisticians and researchers. What makes R so popular is the ease of presenting the results as a presentation or a document.

Its syntax is very expressive, and its interface is very user-friendly which increases its popularity year after year. Here is why you should learn R and what is in it for you. Considered as one of the best tools for data scientists, R is considered as the bridging language of data science.

According to the survey conducted by O’Reilly Media in 2014 to learn about the popular tools among the data scientists, R turned out to be the most popular amongst the programming languages.

Why is R Used in Graphics and Statistical Computing?

  1. R Programming is an Open Source

Most of the R packages are licensed under GNU General Public license terms and you can download it for free and use them even for commercial purposes

  1. Cross-Platform Interoperability

In today’s technology-driven world, it is very important for any program to be flexible and adaptable. The ability to be able to run on popular platforms like Windows, Mac, and Linux makes R a popular choice.

  1. Career Prospects

Data science training and proficiency in R is highly desirable for software job openings. It makes you stand out from the crowd when you apply for a job.

  1. Popular Programme Among Tech Giants

Popularity and preference among tech giants show the potential of a programming language. R exhibits great potential this way. Better data analytics makes R a hot choice for many companies to aid them in the decision-making process. Learning R thus increases your chances to work with market leaders.

Companies Using R

As mentioned earlier, R is the hot choice amongst the market leaders. Listed below are some examples of renowned R users and an indication on how it helps them.

  1. Facebook – To analyze user behavior by considering profile pictures and status updates.
  2. Google – To enhance the effectiveness of ads and economic forecasting.
  3. Twitter – To visualize the data and for semantic clustering
  4. Microsoft – Uses R for a myriad of purposes that it eventually acquired Revolution R company!
  5. Uber – To analyze various user statistics
  6. Airbnb – To scale data science.
  7. IBM – The extensive application of R made them join R Consortium Group
  8. ANZ – To create and analyze credit risk modeling.

Real-World Application of R Programming

  1. Data Science

R programming facilitates real-time data collection and thus, makes it an extremely useful tool for data scientists. They can perform predictive as well as statistical analysis with these data. It also helps to create visualizations and to effectively communicate the results to respective stakeholders.

  1. Statistical Computing

R is very simple highly user-friendly that even a non-computer professional can import data from requisite sources and analyze them to create better results. The excellent charting capability of R program helps you to create good visualizations also has charting capabilities, which means you can plot your data and create outstanding visualizations from a given dataset.

  1. Machine Learning

R programming has found its application in machine learning as well. Machine learning professionals use R to implement the algorithms in various fields including marketing, finance, retail marketing, genetics research, and healthcare to mention some.

Conclusion

Most suited for graphics, statistical analysis and data visualization R is the most desirable tool that is leading the world of computer programming. One of the most preferred programs by the market giants, Learning R offers better career prospects.

The Promises of Artificial Intelligence: Introduction

Posted on by Imarticus Learning

The field of Artificial Intelligence seems to working on a winning streak. In the year 2005, the U. S Defence Advance Research Project Agency, held the DARPA Grand Challenge, which was supposedly held to spur development of autonomous vehicles, basically in order to make self-driven, smart cars. This challenge was taken up and successfully completed by 5 teams. In the year 2011, in a great competition of Jeopardy, the IBM Watson system, was successfully able to beat two long time, human champions of the same legendary game. Another great win of technology over the human race would be in the year 2016, when Google DeepMind’s AlphaGo system was able to successfully defeat the world champion of Go Player, who was reportedly the world champion for 18 consecutive times.
While these feats of technology over the human brain are extremely commendable, today the long surviving dream of humans, which basically revolved around developing technology to control their surroundings, has finally come to fruition. This has resulted in the form of Google’s Google Assistant, Microsoft’s Cortana, Apple’s Siri and Amazon’s Alexa. As a result of all of these AI (Artificial Intelligence) powered virtual assistants, people are able to make greater use of technology in order to live better lives.
Artificial Intelligence is considered to be a field of computer science, which is entirely devoted to the creation of computing machines and systems, all of which are able to perform operations that are similar to human learning and decision making. According to the Association for the Advancement of Artificial Intelligence, AI is, “the scientific understanding of the mechanisms underlying thought and intelligent behaviour and their embodiment in machines.” While these intelligence levels can never be compared to those of the humans, but they can certainly vary in terms of various technologies.
Artificial Intelligence includes a number of functions, which include learning, which primarily includes a number of approaches such as deep learning, transfer learning, human learning and especially decision making. All of these functionalities can later help in the execution of various fields such as cardiology, accounting, law, deductive reasoning, quantitative reasoning, and mainly interactions with people, in order to not only perform tasks, but also to learn from the environment.
While the recent changes may be extremely mind blowing, the promise of AI has always been existing since era of electromechanical computing, this began in the time period, after the World War 2. The first conference of Artificial Intelligence was held at the college of Dartmouth in the year 1956 and at that time, it was said that AI could be achieved within the time period of summer. Later on, in the 1960’s there were scientists, who claimed that in the next decade, it would be possible to see various machines controlling human lives. But it was in the year 1965, when the Nobel Laureate, Herbert Simon, who is supposed to have predicted the words, which would have some substance and which were, “In the next 20 years, it would be possible that machines would be able to do any work of labour that man can”.
With Artificial Intelligence, going in full fervour, the field which it has affected most in the field of Data Science. And as there are many who believe that there is a great to achieve in this field, have begun to get trained in the same by approaching professional training institute – Imarticus Learning.