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Showing posts with label data analytics experts. Show all posts
Showing posts with label data analytics experts. Show all posts

Wednesday, August 24, 2016

Common Data Analyst Interview Questions


Before we dive headfirst into this apparently common topic, let us begin by asking you a question – what makes an ordinary man born normal, die as a legend?

The answer to this question should not surprise a data scientist/analyst – Questions!

In a generalised definition a data analyst or scientist is someone who analyzes all kinds of information to solve business or company related problems. The information type or problems will depend on the industry type; there are several types of industries like, software, alternative energy, healthcare, entertainment and so on.

If you are preparing for an upcoming job interview, then pay close attention to these interview questions and answers to ace your interview as a data analyst.

Must know job interview questions and answers:


  1. What is mostly involved in the job role of data analysis? Analysis of data involves collecting, organizing data, finding correlation between the analyzed data and the rest of the market in reference to the company. It also involves the ability to creatively think for solutions to existing troubles or identifying existing problems and to suggest preventive measures.
  2. Are you experienced in handling corporate websites? Having relevant experience may include creating the norms for various corporate consumer web properties, which will depend highly on the market conditions and the goals of the company. As analyst I can also help in the design and creation of website features, which must align with the analysis of the company data with the performance predictions. 
  3. How will you handle a database as a data analyst? Data analysts are often deemed with the responsibility of database designing and security. They are often responsible for upgrading the database frequently so that it remains optimized as per the company requirements and market needs. Data analysts are also often given with the duty to ensure that the database runs smoothly in general. 
  4.  Will you be comfortable with spending extended periods of time in front of a desktop computer? As a data analyst the wizard-like powers of data analysis is highly interesting. So, the job requires a lot of hours to be seated in front of a desktop or computer and no other physical strain except the ability to focus on a problem at hand and analyze it to offer creative solutions.
  5. 5. Have you ever created any programs or products that are relevant to this present position?

For the job role of a data analyst/business analyst that involves working in the technology and software industry, so having experience in developing information associated products for a company is a highly useful asset. So, make sure you have some such mock-up works to show for yourself.

For more such interesting data analytics news, articles and tutorials and information about Big Data Tableau training in Kolkata, stay tuned with Techtree India’s regular uploads on the same.
Pada Kolkata

Thursday, August 18, 2016

How To Become a Data Scientist?



Being a data scientist may not be everyone’s cup of tea, but if you have a background in statistics and know a bit of programming then you can gather a few more in demand skills to get relevant for such jobs. In this article, we will share a handful of useful tips for making a career in Big Data Analytics from our SAS trainer at Techtree India.

How to catch the big employer’s attention in the Big Data industry?

The current state of the Information technology industry is such that Big Data skills are necessary almost in every realm. The basic job role involves data collection, warehousing, analysis and decision making based on the analysis.

The skills most employers search for in an aspiring candidate’s resume are –

  • Understanding of various programming languages 
  • Proficiency in mathematics and statistical modelling 
  • Experience in tools like SAS, R programming and SPSS

A growing trend in the data analytics industry is the demand for skills in R programming. It is an open source analytical tool and the community around R is expanding a great pace. One can use R programming for manipulation of data and analysis.

Organizations that use data science and analysis often ask for the following skills:

 - Programming capabilities 
 - Idea of deep learning libraries 
 - Proficiency in data visualization 
 - Expertise in Big Data tools and infrastructure 
 - Ability to understand business intelligence platforms 
 - Good soft skills like communication and a general enthusiasm about dealing with data and algorithms

What is the current scenario of Big Data analytics in India in 2016?

Businesses around the globe are increasingly becoming more data driven and the need to extract insights from unstructured data is increasingly rapidly. Thus, this will definitely push up the demands for professionals working with the Big Data analysis. As per Gartner, the business intelligence market will reach to USD 213.8 million by 2017. Compared to the 2015 reports on spending this will be an 18.6 percent hike.

Fortunately for aspiring data scientist in India, our nation is one of the top 10 in Big Data Analytics industry in the world. Industry experts predict that by 2025, this industry is likely to grow by 8 folds and reach USD 16 billion in India itself. Thus, the demand for people with Big Data skills is expected to witness an exponential amount of growth. Most businesses are hiring data storage, retrieval and analysis personnel aggressively to stay ahead of their competition with insights from data. Thus, it is evident that business intelligence will be one of the fastest growing industries in India.

The top 5 data mining techniques you must know:


With data mining analysts are able to simplify and summarise data, so, that it is easier to understand data and derive conclusions. After mining it becomes easier for data analysts to draw trends, patterns and correlations after a detailed analysis on a specific case or instance. Such information will be highly helpful to companies for increasing their revenues and reducing the costs.

The main methods of data mining are – clustering, classification, prediction, path analysis or sequencing and association rule. More and more companies are using data mining along with pattern recognition, statistics and some other tools. This allows them to discover insights about their customers find solutions to business problems and make educated decisions for improvement of their business.

Can you be a data scientist?

To be a successful data scientist you must have a knack for solving problems. One should be proficient in testing hypotheses, defining problems, drawing out the relevant information and then analysing it. Hence, they should have a blend of creativity, analysis, business knowledge, mathematics and statistical understanding with a good grip on communicability.

To be a data scientist you must seek understanding through questioning and possess an amalgamation of technical and mathematical skills with expertise in diverse domains. If you possess the above mentioned skills then you can definitely succeed as a data scientist.

For a quality SAS training in Kolkata feel free to visit Techtree India to get industry ready.
Pada 9 Kolkata

Thursday, August 4, 2016

Powerful and Simple Excel Tools That Every Analyst Must Know



As a data analyst you cannot but admire the immense power packed by the apparently simple piece of software, MS Excel. This piece of computer program is extremely versatile as it can not only to basic data computations but also complex data analysis. The application is used for multiple purposes including complex tasks like of financial modelling and business planning. Learning Excel can be a great stepping stone for people who are new to the world of data analysis.
Pada Kolkata
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