Tag Archives: R Analytics Certification

5 New-Age IT Skill Sets to Fetch Bigger Paychecks in 2017

Technology is the king. It is slowly intensifying its presence over workplaces, and is one of the chief reasons why companies are laying off employees. Adoption of cutting-edge technologies is believed to be the main reason of job cuts and by now if professional techies are not properly equipped with newer technologies under their sleeves, the future of human workforce seems bleaker.

5 New-Age IT Skill Sets to Fetch Bigger Paychecks in 2017

DexLab Analytics offers the best R language certification in Delhi.


A recent report says – India would lose about 69,000 jobs until 2021 due to the adoption of IoT, so do you really think human intelligence is losing its intellect? Will AI finally surpass brain power?


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?


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.


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.


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.