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Showing posts from January, 2019

Top 8 Must Have Skills For Data Analyst

Data Analyst is one of the most responsible jobs in the industry. It is also considered top-paying jobs in the world. But becoming a data analyst is not that easy. Data analysts should have some essential skills that are required for their careers. Let's look at the top 8 major skills that each digital analyst should have. 1. Programming Skills They should have excellent statistical skills, in addition to the statistical skills they must have some programming skills too. The programming skills include commands on Python, MATLAB, R etc. and includes commands on the SAS and SPSS in statistics skills. Also, they can have commands on big data tools, i.e. spark, Hive Echakayuel. Unlike more skills, they have a higher likelihood of being the best data analyst for them. 2.Analytical Skills After keeping an eye on statistically as well as programming skills, it's time to keep an eye on the analytical skills for the Data Analyzer. They should have a fine command on Google Ana

Top Most Skills Required To Be A Successful Business Analyst

The business analyst is one of the most popular professions in the world. This job includes lots of responsibilities. The major task of the business analyst is to identify the opportunity for improving the business process and operations. In other words they analysis the business to find out the weakness of the business. The do their job with the help of their interpersonal and technical skills. Core Skills A business analyst can have a number of skills that can be beneficial for the organization. But there are some core skills which should be inherited in business analyst. The core skills are as follows. 1. Communication Communication skills is a kind of weapon for the business analyst. This skill plays a major role in their career success. The need for this skill is important because the business analyst needs to interact with the clients, management staff, and other technical and nontechnical staff. Therefore the communication should not become a barrier for the business an

Difference Between Big Data And Cloud Computing

Big data is getting one of the most popular IT technology in the world. Big data is all about the numbers of the data. Big data contains a huge amount of data. On the other hand cloud computing is about using the resources over the internet. Cloud computing is the old technology but Big Data is the latest technology. Now let's take a look at the key differences between Big Data and Cloud Computing:- Big data vs Cloud Computing 1. Type Of Data Big Data holds a variety of data. In other words, it contains data that is structured and unstructured in nature. On the other hand cloud computing holds a similar kind of data. The reason is cloud computing is used by the end users. That's why it can't provide a variety of data - because it can be overwhelming for the user. 2. Users Big data is used by the data scientist and the data engineer who are technically sound professionals. On the other hand cloud computing can be used by technical as well as nontechnical peoples.