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How to Supercharge Your Data Analytics Career

Who Is a Data Analyst?

A data analyst is an artist, someone who collects (Sometimes not collect but just receives collected data), organizes, and analyzes large sets of data to identify some hidden facts that cannot be ignored, he identifies patterns, defects, possibilities, opportunities and other useful information to make the data-driven future. Data mining and data auditing are must have skills to become a Data Analyst. If you intend to become a successful data analyst, you must start by ensuring a good knowledge in technology, business intelligence, data mining, data auditing, mathematics, statistics and another bunch of analytics skills which include:

1. Programming Languages

You need to be familiar with some computer software and scripting languages like Matlab and Python to find significant insights, statistical languages like R, SAS, and other computer skills include JavaScript, XML, and so on.

Benefits of SAS Certification

Big Data and Business Intelligence are domains that shall go hand in hand for a long time. BI pioneers SAS, and MapR – The most trusted service provider for Google and Amazon Technologies – have recently signed a pact to further the efficacy of Big Data. This post takes a look at what this new partnership entails for the end user.

SAS Certification

Since inception, the senior management team from SAS has to lead the organization not just producing best products but to make the company the best place to work with an emphasis on culture that balances work and personal life and encourages employees to take leadership. This was noticed by many organizations such as Fortune and the Great Place to Work Institute and they named SAS as the best place to work, also SAS got the fourth rank in Fortune magazine's top 10 list of best companies to work for in 2015. The company's low employee turnover rate is a proof of the above reorganizations & company’s commitment to its employees and, indirectly, to its customers as well. From top 100 Fortune Global 500 companies, 91 are SAS customers. SAS customers span the globe with more than 80,000 instances installed in 148 countries.

Zero to SAS Certified Base Programmer via a structured approach

Base SAS certification is officially known as “The SAS Certified Base Programmer for SAS 9 credential” is a certification for beginners in SAS programming. This certification requires knowledge and experience of SAS ver 9.3 and is one of the essential requirements for many other advanced SAS certifications.

The SAS Foundation has been offering various certifications in SAS based analytics for many years now. Till date, the SAS certifications are the most recognized credential in analytics. There are many different SAS certifications on offer.

How would I interview a Dell EMC Data Scientist (EMCDS) Candidate?

When interviewing for a data scientist position, The interviewer will quickly discover a lot about the candidate. An ideal data scientist’s skill set spans math, statistics, programming as well as databases, and business expertise. They need to probe each of these areas and also want to find out if they are smart and get things done on their own. Normally the interviewer typically only have an hour to get a feel for how a candidate fares in each of those areas (followed a week or two later by a case study if the interviewer thinks the candidate has potential). As you can imagine, this makes for an intense interview.

How to Install SAS 9.4 and Basics of SAS

Data Analytics and Tools

The word “analytics” has been trending for a while now, yet there is no single way to define it. Let us try to understand analytics with a simple example. Imagine, you want to buy a shirt. What you do is, some sort of analysis to help you buy a Shirt. Let me simplify it further. Your brain did two simple things here:

Collected information as per your requirement and understood the data, based on that information, helped you decide in buying the Shirt.

This is what you can do using analytics. You can gather information, analyze it and take better decisions. The above example was easy, so you could take a decision based on a few assumptions. What if the problem and the decision making wasn’t this easy?

All about Dell EMC Data Science Certifications

Dell EMC, a part of Dell Technologies, enables organizations to modernize, automate and transform their data center using industry-leading converged infrastructure, servers, storage and data protection technologies. This provides a trusted foundation for businesses to transform IT, through the creation of a hybrid cloud, and transform their business through the creation of cloud-native applications and big data solutions.  Dell EMC services customers across 180 countries – including 98 percent of the Fortune 500 – with the industry's most comprehensive and innovative portfolio from edge to core to cloud.

As we all know that data scientist career is one of the hottest jobs in IT. What’s more, it’s the best job you can get, according to data from Glassdoor.

Generally, Data science is important to nearly every company. Recruiters are searching for skilled people. But the skills will vary across businesses and industries. Moreover, certifications are a great way to gain an edge. As they allow you to hone niche skills that are hard to find in your desired industry. Besides, it’s also a way to back up your skills. So recruiters and hiring managers know what they’re getting if they hire you.

Understand the Importance of Data Scientist Role and Achieve a Grand Success.

The Most new type of the artist is “Data scientists” Yes, as I am saying The Artist, they are indeed the artist as they take a huge mass of messy data sets, some time unstructured as well and use their artistic skills and special tool (The Analytical Software) and creates most amazing, detailed but still simple results to help many, starting from business till the Governments. They have change the world’s decision methodology drastically, we all are taking a better decision as somewhere or other, our all decisions are backed by the some or other, small or big artistically worked data science.

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