Showing posts with label R training course in kolkata. Show all posts
Showing posts with label R training course in kolkata. Show all posts

Friday, August 12, 2016

5 reasons why we think a career move in Big Data Analytics is the best right now



A blue whale is the master of the oceanic depths, it is the biggest down there and it is at the top of its game. Now imagine yourself in this sea of humans, all smart in one way or the other, all talented and hungry for more. So, all of them are running to reach the peak, stomping over one another and pushing and shoving their peers when necessary.

Behold the omnipresent entity of the modern world – Big Data. It is present all around you and more and more companies are trying to grab a piece of this huge data mountain, driven by the fear of missing things out. New data is being generated as we speak and floating around unharnessed. Now the question remains is what we do with it and how we use it. And that is the main reason why Big Data Analytics is the new frontier in IT. It has become crucial to analyse and collect all this data as it is known to be highly effective in helping business growth. It also has much to do in decision-making, and offering an edge over the competitors. Thus, this is a technology that can be weaponized for both organizations as well individuals. And for those who are smarter than the crowds of commoners and have skills in big data analytics, have endless numbers of opportunities out there.

Still don’t believe that Big Data Analytics is the best career move?


Then read on to find our list of reasons why we beg to differ...

The demand for Data Analysts is going through the roof:


See the graph from Indeed.com that showcases the latest Big Data Analytics job trends. With the rise in the volume of unanalyzed data, the number of job prospects is also on a steady rise. 
As the experts say, data is not significant without people with analytical skills. The number of job offers in Big Data Analytics is much more than it used to be within the last few years in the IT industry. And to keep up this growing megatrend there are more than just a handful of IT professionals who are prepared to invest time and money for getting the requisite training.

The predictions of industry insiders are that in the next two years the global big data analytics industry will expand to be at least two thirds of the international IT industry from the current one-tenths position.

The salary aspect:


With high demands for talented data analytics professionals and not enough minds trained to handle the work, the wages of skilled personnel are also on a steady hike. Thus, Big Data is paying big bucks to the right minds that can analyse them. This phenomenon is not apparent in the Asian countries which are the hubs of affordable talents, but is also noticeable in other international countries like Australia and the UK. There is an ongoing moolah marathon in the world and the prudent ones are quick to jump this train.

Take a look at the growth of Big Data job titles and salaries as is advertised across the United Kingdom. 

Numerous job opportunities but lack of talent:


We have established that the number of job opportunities for analytics personnel is growing at an exponential rate, but there still lies a huge gap on the supply side for meeting this talent gap. This is happening globally and is not restricted within any specified geographies. Despite the fact that Big Data Analytics is hot job trend there is still a long list of jobs that are unfulfilled across the globe and all so, because of shortage of skills. The US is predicted to face a shortage of 190,000 data scientist as per a Mckinsey Global Institute study by 2018, and a shortage of 1.5 million data managers by the same time.

Adoption of Big Data analytics is slowly on the rise:


With the advancement in technologies performing complex tasks are now getting easier with even large and diverse datasets. This is quite evident as the report from the The Data Warehousing Institute (TDWI). As this tool can offer an edge over the competition the rate of implementation of the necessary analytics tools has grown exponentially. So much so, that most of the respondents of the peer research – Big Data Analytics survey stated that they already have a strategy in place for managing Big Data. And those who are yet to have one in place are already busy in creating one. 

Analytical knowledge drives educated decision-making:


This is a key resource for companies with trumping competition. That is already an established fact. More than 90 percent of respondents in a survey stated that they firmly believe that analytics will become an elemental part of their businesses within the upcoming three years.

The key benefits of analytics can be best explained with the chart below: 

While the argument on the greatest benefits of analytics still rages on, it is evident that this technology is crucial for businesses with the following advantages: important role in effective decision making, helps to drive commercial strategising with idea of patterns and trends in customer needs, offers insights on otherwise unnoticed factors, and helps to streamline operations with smarter methodologies.

If you are keen on joining this bandwagon of success, then feel free to take up a data analytics certification Kolkata at the reputed data science training institute, Techtree India.

Wednesday, August 10, 2016

How To Be a Data Analyst?

 
How To Be a Data Analyst?

What does the life of a data analyst look like?


The job of a data analyst is to collect process and perform statistical analyses of company data. Data analysts do not have the skills as advanced as that of a data scientist. For instance they are not usually capable of creating new algorithms but the end goals of both these class of data personnel remain the same. And that is to determine how data can be used to ensure business growth and answer questions with feasible solutions.

The main responsibilities of a data analyst:


Based on their expertise a data analyst may carry out the following responsibilities:

  •  Work with IT Teams, the management and / or other data scientists to determine main organizational goals 
  • Conduct data mining from primary and secondary sources 
  •  Interpret and analyse results using various methods of statistics and other tools and techniques 
  • Prune and clean data to get rid of irrelevant information 
  • Identify correlations, trends, and patterns in complicated datasets 
  • Recognize new opportunities for process improvements 
  • Offer concise data reports and clear data visualizations for the management of the company 
  • Triage all kinds of data related problems along with other code problems 
  • Create, design and maintain relational data systems and databases

Most of the times data analysts are called as junior data scientists or data scientists in training because they are usually never free to create their own Big Data projects they are usually limited to tackling various business requirements with existing tools, data sets and systems.

Qualifications required to be a data analyst:


For entry level jobs as a data analyst will need a bachelor’s degree in math, science, statistics, and computer science or information management. But to climb the ladder faster it is highly recommended R Programming course to transition into a senior position of a data scientist.

Skills necessary to be a data analyst:

  • Statistical analysis methods such as SAS 
  • R programming 
  • Data warehouse and business intelligence platforms 
  • SQL database and database query languages 
  •  Database design 
  • Data mining 
  • Data munging and cleaning 
  • Reporting and data visualization 
  • Knowledge of MapReduce and Hadoop 
  • Machine Learning techniques

An analytical aptitude with a mindset pro-change is necessary for data analysts, this is because various business intelligence software and some automation techniques are replacing several functions of an analyst from the hands of technicians to machines. Thus, a big change is underway in this field. There must be ample heads to control the flood of unstructured data about to hit the world which is already taking shape every day. And last but not the least a data analyst should have impeccable communication skills to explain what they have discovered to a room full of confused non-date people.

Tuesday, July 12, 2016

Introduction To Data-Driven Experiences

The market is teeming with job for data scientists, new institutes preparing data scientists are popping up every day and newer tools and applications are also surfacing every other day. This new breed of professionals called data scientists seem to be highly in demand these days and they are the main driving force fuelling this data-driven process of insightful decision making. These people are tasked with seemingly complex yet interesting task of converting raw unstructured data or Big Data to be precise and turn them into meaningful information which the company can use to take executive decisions for better business operations.