Tag Archives: R language training

How R Programming is Transforming Business for Good

Today, every business is putting efforts to understand their customers and themselves, better. But, how? What methods are they applying? Do mere Excel pivot tables help analyze vast pool of data? The answer to the latter question is in the negative – Excel pivot tables are not that great at analyzing data – so a wide number of companies look forward to SAS and R Programming to cull Business Intelligence.

 
How R Programming is Transforming Business for Good
 

Besides SAS, R-Programming is another open-source language that is used by most of the budding data scientists in the world of analytics. The R Programming language is more oriented towards the correct implication of data science, while ensuring business the cutting edge data analysis tools.

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How to create Chart Templates with R Functions

R functions are used to produce chart templates to keep the look and feel of the reports intact.

 
How to create Chart Templates with R Functions
 

In this post you will come across how to create chart templates with R functions – all the R users should be accustomed to the calling functions so as to perform calculations and outline plots accurately. Remember what colors and fonts to use each time: R functions are used as a short-cut for producing customary-looking charts.

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Using R Programming to Simulate the Incredible Pong Arcade Game

Unleashed in the market in 1972, Pong is one of the first computer games ever developed. Loosely inspired by tennis, Pong captured the worldwide gaming market soon after its launch. Instantaneously, it became a trending fad. Gaming enthusiasts became intrigued, they desired to delve deeper into the computer coding and system mechanisms mostly to understand the essence of arcade game development.

 
Using R Programming to Simulate the Incredible Pong Arcade Game
 

Today, R-Programming is extensively used to develop numerous board games. But the question to ponder on is – can we create traditional arcade games with R programming?

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Introducing The New R Tools For Visual Studio

Introducing The New R Tools For Visual Studio
 

It is a great new development that the new Visual Studio now speaks the R Language!

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How is data science helping NFL players win Super bowl?!

Recently, a discussion was held, which invited data scientists and analysts all over the world, to take part in the Science of Super Bowl discussion panel, this discussion was held by Newswise.

Data Science in Super bowl

We found one notable discussion topic, which answered three very important questions related to data science that the sports industry could use:

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The Choice Between SAS Vs. R Vs. Python: Which to Learn First?

It is a well-known fact that Python, R and SAS are the most important three languages to be learnt for data analysis.

 

The Choice Between SAS Vs. R Vs. Python: Which to Learn First?

 

If you are a fresh blood in the data science community and are not experienced in any of the above-mentioned languages, then it makes a lot of sense to be acquainted with R, SAS or Python.

 

Does that sound too difficult? Do not fret, by the time you are done reading this post you will know without a doubt which language is the right one for you to take up first.

 

Introduction to the languages:

  • R programming: R is the lingua franca for statistics. It is an open source programming language, free to access and pen to all to perform data analysis tasks.
  • Python: this is a multi-purpose, open source programming language, which has become a very popular one these days in data science due to its vibrant community and immense data mining libraries.
  • SAS: SAS is currently the undisputed market leader when it comes to enterprise analytics space. It provides a huge array of statistical functions; it has a good GUI for people to pick it up faster and also offers a well-backed tech support team.

 

You must be aspiring to start a career in data science for gaining some knowledge and to be able to transition to this field in the near future. And if so, then some research on your part is necessary to understand what you must take up as your first lesson to excel in this complex field. It will help up your chances of landing the right job. But the question here remains – whether you should take up R? Or should it be better to make SAS a priority for learning? Or should one learn Python instead?

 

Here are the factors that one should consider, before deciding what to learn:

Industries where the tool is used the most:

An international HR firm Burtch Works, asked about 1000 quantitative professionals about which language they prefer better – is it SAS, R or Python. The survey results, came out to be something like this:

 

SAS vs R vs Python

Image Source: kdnuggets.com

 

 

big companies mostly prefer SAS, because they offer better customer services, this is also the reason why SAS has an advantage within the financial services sector and the marketing companies, where the budget is not a concern for selecting the tool.

 

 

Tools used in data science industry

Image Source: kdnuggets.com

On the other hand, start-ups and mid-sized firms use R and Python. Tech as well as telecom companies also require a large amounts of unstructured data to get analyzed, and hence, many data scientists associated with these sectors use machine learning techniques for which Python and R are more suitable.

 

Data Scientist vs Predictive Analytics

Image Source: KDnuggets

You can take up an R programming course in Gurgaon with DexLab Analytics.

The ease of learning, and pocket pinch:

The language SAS is an expensive software used for commercial purposes and is mostly used by large corporations with massive budgets.

 

However, R and Python are free software, which can be used and downloaded by anyone keen on learning.

 

No prior knowledge in programming is required by people for learning SAS, as it has simple GUI, which is easy to use. There is the provision of parsing SQL codes, combining it with macros along with other native packages it makes learning SAS a cakewalk for those with basic knowledge of SQL.

 

For analyzing data in Python one will need data mining libraries like Pandas, Scipy, and Numpy. In other words, one will not code in a native Python language for data analysis. The codes one writes in these abovementioned libraries are somewhat similar to those in R. So, it is easier for people to learn Python who are already aware of R in data science. For those who already know R it is recommended that they learn the basics of Python Programming language before one starts to learn the Python data mining ecosystem.

Capabilities in data science:

SAS is very efficient at sequential data access and for database access through using SQL which is well integrated. With the drag-and-drop interface, it makes it easier for people to create better statistical models faster.

 

R is best known for in-memory analytics and is mainly used when the data analysis tasks need standalone servers. It is a great tool for exploring data.

 

Python libraries like Numpy, Pandas, Scipy and Scikit-learn allows it to be the second most popular programming language in the field of data science right behind R. One can also create a lot of beautiful graphs and charts with libraries like Seaborn and Matlplotlib.

 

Get R programming certification to pave your way to data science success with our courses from DexLab Analytics.

Community support:

R and Python have a huge community support online from things like mailing list, Stackover flow and other user-contributed documentations and codes.

 

SAS also has an online active community which is regulated by the community managers.

 

So advance your career with a course on Machine Learning using Python or R programming.

 

 

Interested in a career in Data Analyst?

To learn more about Machine Learning Using Python and Spark – click here.
To learn more about Data Analyst with Advanced excel course – click here.
To learn more about Data Analyst with SAS Course – click here.
To learn more about Data Analyst with R Course – click here.
To learn more about Big Data Course – click here.

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Making a Histogram With Basic R Programming Skills

DexLab Analytics over the course of next few weeks will cover the basics of various data analysis techniques like creating your own histogram in R programming. We will explore three options for this: R commands, ggplot2 and ggvis. These posts are for users of R programming who are in the beginner or intermediate level and who require accessible and easy to understand resources.

 

Making a Histogram With Basic R Programming Skills

Making a Histogram with Basic R Programming Skills

 

Seeking more information? Then take up our R language training course in Gurgaon from DexLab Analytics.

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How Predictive Analysis Can Be Used In Healthcare For The Better

Medical predictive analysis is slowly being recognized as a system that if utilized well can completely change the very face of medicine and healthcare practices.

 

How Predictive Analysis Can Be Used In Healthcare For The Better

 

We have all been a patient at least once in our lives and there is a high likely that we will be so again. While some of us may require medical attention more frequently than others and some do not, but we have all been to the clinic at some point and we all desire the best of medical care. We believe that the doctors and technicians there are equipped to provide us with that and that there has been good research and understanding behind all their medical decisions. But that is often not the case.

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Is Data an Asset or Liability

While many firms are stating that they leverage their data to gain valuable insights and translate them into profit. But the basic question remains whether data is an asset or a liability. This is the mind-numbing question that haunts all IT managers and must be given ample concentration on what is collected in terms of data and how can it be managed efficiently.

 

Is data an asset or liability

 

There can be two approaches to answer this question, the first being that data could be an asset if used ethically and correctly. But when no actionable insight can be gathered from data, it is a liability in the same lines as an old non-performing loan. Optimum use of data is elemental to the operations of any data driven initiative. The main reason behind this data-drive remains to be to obtain faster and better decision making abilities with more accuracy. Nowadays organizations across the board leverage their data to achieve their goals. Currently sales organizations are the frontrunners who mine their data to get the best results and maximize their revenue from already customers. Also crediting companies use their data to evaluate the risks associated with different individual debtors and then act accordingly when setting rates and fees for their loans that seem to be fair based on this information. In these scenarios the companies use real information to make decisions.

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Python Vs R- Which You Want To Learn First

If Big Data interests you as a career choice and you are pretty much aware of the skills you need in order to be proficient in this field, in all likelihood you must be aware that R and Python are two leading languages used for analyzing data. And in case you are not really sure as to learn which of the mentioned articles first, this post will help you in making that decision.

 
Python Vs R- Which You Want To Learn First
 

In the field of analysis of data, R and Python both are free solutions that are easy to install and get started with. And it is normal for the layman to wonder which to learn first. But you may thank the heavens as both are excellent choices.

 

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