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Tag: Diploma in Big Data and analytics certification

How Do Business Analytics & Data Analytics Differ? What Are Their Applications?

Posted on by Imarticus Learning

Both business and data analytics is about processing data and gaining insights from data.

The terms business analytics and data analytics might be used interchangeably in organizations on a small scale. On the other hand, big firms hire both business analysts and data analysts to perform well-defined functions, thus making it very necessary to understand the difference between the two.

With Imarticus’s, you can choose between the best data analytics courses and business analytics courses in India. Read on to have a deep insight into the two important career paths and their respective applications.

best data analytics courses in IndiaBusiness Analytics

Business analytics course focuses on business impact when analyzing data and the actions that should result from the insights. For example, it provides answers to the following questions, “Should a company develop a new product line?” Or, “Should it prioritize one particular project over another?”

Business analytics combines various capabilities, tools, and applications to measure and improve the effectiveness of core business functions such as marketing, customer service, sales, or IT.

Business analysis (also Business Analytics) is the iterative exploration of a company’s data. There is a statistical analysis method used to bring information to light that can help to stimulate innovation and business results. Companies that rely on analysis consider big data to be a valuable asset of the company: data helps to advance business planning and forms the basis for future strategies. Business analysis helps these companies get the maximum value from this gold mine of insights.

Sufficiently large volumes of high-quality data are required for business analysis. Companies that want to achieve the most accurate results possible have to integrate and compare the data from different systems. A decision is then made as to which subsets will be made available to the business.

Data Analytics

A Data analytics career involves combing through massive data sets to identify patterns and trends, create hypotheses, and support business decisions with data-based insights.

For example, data analytics seeks to answer questions such as, “What impact do geographic factors or time of year have on customer preferences?” Or, “What is the likelihood that a customer will defect to a competitor?” In practice, data analytics encompasses many different techniques and approaches. It is also known as data science, data mining, data modeling, and big data analysis.

In data analysis, raw data is collected and examined to conclude it. Every company collects huge amounts of data, such as sales figures, market research, logistics, and transaction data. The real benefit of data analysis is in identifying patterns in a data set that can indicate trends, risks, and opportunities.

Data analysis enables companies to use this knowledge to change their processes to make better decisions. In practice, data analysis can help, for example, to decide about the next product developments, to develop customer loyalty strategies, or to evaluate the effectiveness of new medical treatments.

Applications of Business Analytics and Data Analytics

Since Business Analytics and data analytics are both based on big data tools, they have several applications in various industries across the globe. Some of them are mentioned below:

  1. Digital Advertising
  2. Energy Management
  3. Medical Applications
  4. City planning and mapping
  5. GPS tracking
  6. Transportation
  7. Risk detection and management
  8. Security
  9. Transportation
  10. Traveling
  11. Customer interaction
  12. Internet Browsing
  13. Expenditure Management

Conclusion

Business and Data analytics share the same overarching goal: use technology and data to drive business success. We live in a data-driven world where the amount of information available to businesses is growing exponentially. Both functions in combination can help companies achieve maximum efficiency and gain some useful insights.

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.