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Tag: big data hadoop certification

5 Top Reasons to Learn Python

Posted on by Imarticus Learning

One should have a good grasp of technology, as its uses and advantages have seeped in almost all spheres of professional setups. If you are working in the field of IT, programmer to be specific, a quick way to upgrade your resume would be to learn Python. Python is considered to be the most commonly used programming languages. Hence for a programmer who is on the brink of embarking his career should learn Python.
So if you are considering learning to code, and be updated and efficient with your skills in the world of programming. Then further read on to understand five undisputable reasons you should learn Python.

Quick and Fast

Python is definitely an easy language to learn, to be true the language was designed keeping this feature in mind. For a beginner, the biggest advantage is that the codes are approximately 3-5 times shorter in Python than in any other programming language. Python is also very easy to read, almost like reading the English language, hence it becomes effective yet uncomplicated in its application.
The dual advantage is that a beginner will not only pick up faster but, will also be able to code complex programmes in a shorter amount of time. And an experienced programmer will increase productivity.

Big Corporates use Python

Python is one of the most favourite languages used at Google, and they are ever hiring experts. Yahoo, IBM, Nokia, Disney, NASA all rely on Python. They are always in search of Python web developers, and a point to note is that they are big pay masters. Hence learning Python equals to big Pay cheques.

Python for Machine Learning and Artificial Intelligence

The biggest USP of Python is that it is easy to use, flexible and fast, hence it is the preferred language choice. And especially so in computer science research. Through Python, one can perform complex calculation with a simple ‘import’ statement, followed by a function call, thanks to Python’s numerical computation engines. With time Python has become the most liked language for Machine Learning.

Python is Open Source and comes with an exciting Ecosystem

Python has been there for almost 20 years or so, running across platforms as an open source. With Python, you will get codes for, Linux, windows and MacOS. There is also a number of resources that get developed for Python that keeps getting updated. It also has a standard library with in-built functionality.

Nothing is Impossible with Python

And if the above reasons are not convincing, perhaps the best reason to learn Python, is that irrespective of what your career goals are you can do anything. Since it is easy and quick to learn, with it, you can adapt to any other language or more importantly environment. Be it web development, big data, mathematical computing, finance, trading, game development or even cyber security, you can use Python to get involved.
Python is not some kind of a niche language, and neither is it a small time scripting language, but major applications like YouTube or Dropbox are written in Python. The opportunities are great, so learn the language and get started.

References:

Python Coding Tips For Beginners

Top Resources To Learn Python Online In 2022

Top Resources To Learn Python

It is Useful To Learn Python Language For Big Data

Big Data Hadoop- The Basics

Posted on by Imarticus Learning

The digital universe, is filled up to the brim with data, big data as it is popularly known today, is everywhere around us. With its existence comes another aspect, the never ending search for those who can perform magic with this big data, the Data Scientists as they are popularly known.
The explosion of big data took place about half a decade ago and with that, was uncovered a new avenue of possibilities. Earlier, it was the terra byte or the giga byte, which were known to store biggest data; but now the times are changing and new terms like petabytes or zetabytes have come up as storage units for Big Data.
It was only recently that firms discovered the value in the enormous amounts of data that was pouring in through their customer base of millions. At the same time another prediction was made, this one hinted at more data being generated in the future and with that, more demand would be made for people who would be able to make sense out of this data. Statistics state that India will face a shortage of around 2 lakh data Data Scientists for its firms.
There are a lot of tools in the market, which assist a Data Scientist in Data Analytics. These tools usually help in extracting data, storing it, analyzing it and then drawing solutions. Data Analytics is soon to become a marketing requisite, because of the treasure of patterns and insights hidden under mountains of data. R Programming, SAS Programming, Python, Big Data Hadoop are some of the major tools used in this industry, of these Big Data Hadoop is said to be the forerunner.
Hadoop is very well known as the ‘next big thing’ in the data analytics world. This tool was developed by Apache in the year 2002. The basic idea to develop this tool was a way to provide a better open source network for data analytics. At the peak of its popularity, no tool was better than Hadoop at managing huge amounts of data sets. This tool could extract, store and move data with a lot of ease. It is basically free to download and is a distributed storage and distributed processing platform for managing huge amounts of data.
With the use of Big Data Analytics on the increase, it is seen that Hadoop will become the default software for a lot of e-commerce giants as well as big names in other industries. It is also noticed that in India itself there are quite a lot of professionals who are trained in Hadoop. If we look at the numbers there are almost the same numbers of professionals trained in Hadoop in India as there are in the Silicon Valley. More and more companies are looking to hire these professionals, thus making Hadoop the most sought after skill on resumes.
Imarticus Learning one of best educational institute in India, which offer certification courses and training programs in Hadoop. Many aspirants today are opting for these courses and getting trained in Hadoop as well as other data analytics tools.

Role of Analytics in today’s Scenario!

Posted on by Imarticus Learning

Role of Analytics in Today’s Scenario!

The role of Business Analytics has evolved over the years. Although analytics has been around for a long while, it wasn’t until the last 5 to 10 years that its importance in the business field has been realized. It was in the last 10 years that technology has been revolutionized and we now produce about 2.5 quintillion bytes of data every day. 

This is more data than what was collected in two years previously.

This data comes from everywhere: sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and cell phone GPS signals to name a few. This data is big data. What has also changed in the last decade is that we now have the means to sift through these 2.5 quintillion bytes of data in a reasonable amount of time. All these changes have major implications for organizations today. This emphasises more on the role of business analytics in today’s times. 

In organizations, analytics enables professionals to convert extensive data and statistical and quantitative analysis into powerful insights that can drive efficient decisions.

Therefore, with analytics, organizations can now base their decisions and strategies on data rather than on gut feelings. Moreover, with the rate at which this data can be analyzed, organizations can keep tabs on the customer trends in near real-time. As a result, the effectiveness of a strategy can be determined almost immediately. Thus, with powerful insights, analytics promises reduced costs and increased profits.

With a sudden surge in the analytics industry, there is a tremendous increase in the demand for analytics expertise across all domains, and throughout all major organizations across the globe.

This adds to the importance of Data Analytics courses and how the youth must pursue a career in Data Analytics. 

IBM’s recent study revealed that “83% of Business Leaders listed Business Analytics as the top priority in their business priority list.”

Deloitte has mentioned in its study that – Decision makers who can leverage everyday data & information into actionable insights for the growth of their organization by taking reliable decisions, will find themselves in a much better position to achieve strategic growth in their careers.

Importance of business analytics

Organizations employ Business analytics so they can make data-driven decisions. The role of business analytics helps any organisation with an excellent overview and insight into how companies can become more efficient, and these insights will enable such businesses to optimize and automate their processes. It is no surprise that data-driven companies, that also make use of business analytics usually outperform their contemporaries. The reason for this is that the insights gained via business analytics enable them to; understand why specific results are achieved, explore more effective business processes, and even predict the likelihood of certain results.

Business analytics also offers adequate support and coverage for businesses that are looking to make the right proactive decisions. Business analytics also allows organizations to automate their entire decision-making process, to deliver real-time responses when needed.

One of the apparent importance of business analytics is the fact that it helps to gain essential business insights. It does this by presenting the right data to work it. This goes a long way in making decision making more efficient, but also easy. This is another reason to make a promising career in data analytics.

Efficiency is one area of business analytics that helps any organization to achieve immediately. Since its inception, business analytics have played a key role in helping business improve their efficiency. Business analytics collates a considerable volume of data on time, and also in a way that it can easily be analyzed. This allows businesses to make the right decisions faster.

Business analytics help organizations to reduce risks. By helping them make the right decisions based on available data such as customer preferences, trends, and so on, it can help businesses to curtail short and long-term risks.

There is an information overload in today’s world and data analytics helps to cut out the clutter to help businesses make safe and smart choices.

Summary

We can conclude that Business Analytics is a field that holds a lot of potential & importance in the way any organisation operates. It indeed is the best time to make a career in Data Analytics. You can always check out our Data Analytics courses to know more.