Online learning for an organization is the vastly growing field. Online learning is not only about the inclusion of relevant information about the subject but it also includes the use of original and creative ideas .This makes the topic interesting and informative for the client. ZaranTech believes in delivering training that can be easily comprehended by the trainees with the attention to the minute details in the content.
Have we ever tried to identify the reason for the any problems? Yes; we follow set of methods to find solutions to our existing problems. It requires studying all the perspectives of the problem. Now let’s see what is root cause analysis? It is a process where the cause of the problem is identified and finding controls so that the problem never recurs.
Does improving quality add to a cost for an organization? The answer is No, improving quality pays rather than adding to the cost. Primary health care programs require attention to quality. QA is a multifaceted and comprehensive concept. Quality Assurance activities ensure access to services, technical competence, safety, amenities, interpersonal relations and effectiveness.
Microsoft .Net course is dynamically changing. So what are the new changes for this product? Web Services has taken over the IT market and software developers are finding ways to develop this technology. This technology has found wide applications in Business Areas. XML is being used to develop applications by developers. Hence Microsoft is using XML to build, operate, deploy and integrate web services.ASP.NET uses active server pages to build the dynamic web applications.
So our new Android is here and guess what it has been named ? Its Android Lollipop that has landed on nexus devices. This has been declared as the most ambitious launch of new Android. Let’s see what’s new in this Android Lollipop. The first one is resume from where you had left whether its music, photos, apps or recent searches. It is supported by multi devices like smartwatches, tablets or smart phones.
The need for a skilled Data Scientist have increased over the few years. So our market needs a Data Scientist Professional who has combined skills. A Data Scientist is always inquisitive about the data and the facts. He studies the available facts and data. He also works closely with various departments , hence to study the trends in cross cultural environment. Now lets understand the skills to become an effective data scientist professional.He has a good knowledge of open source collection tools like C++, Java, Python, ECL and Hadoop.
Software Testing Industry has evolved over the years; it has gone to Automated testing from manual testing. Testing is an integral part of SDLC. Testing helps to find bugs in the application. Manual Testing involves manually testing each and every parameter. Whereas automated testing involves tools for testing. Currently a new tool for Quality Test Professional has been developed by Jason Huggins. This is Selenium, which is an open source testing tool. Selenium IDE does not require special programming language; it supports only range of applications. It uses Selenese language which is domain specific cross platform language. The language uses accessors, actions and assertions. Selenium supports data driven testing. It integrates easily with quality control tools.
Often we have heard that the work lacks quality and the project is resulting in high cost. So is there any method by which the quality can be improved and cost can be reduced? The answer is YES, the method is six sigma methodologies. Six sigma is a management philosophy that was developed to reduce costs, increase profits and reduce wastage of an organization. The method was developed by MOTOROLA in 1986. It had been made as central business strategy for General Electric in 1995. This method was developed to improve the quality, establish a world class standard and save the cost for the company. As the costs are reduced the revenues generated increase thus creating a profitable situation for the organisation.
Let’s understand what is machine language and how is it used? Machine learning is the self-learning method which involves generic algorithm. As we can understand these are generic in nature and can be applied into various domains of applications. Data Mining involves applying the algorithms to find solutions for domain related problems. It involves combining data with algorithms in this process. Statistics is a analytic study of collection, organizing and analyzing from the data. It deduces information from the data. Hence to learn self-developing algorithms machine language uses statistics and to solve a problem Data Mining uses results from algorithms with the help of statistics. In business domains data mining is used to solve complex problems. Continue reading What are the Differences between Data Mining ,Artificial Intelligence, Statistics and Machine Learning?
A test case is predefined requirements that are used to evaluate the proper functioning of an application .We have faced situations where we require numerous cases with very limited resources, so what do we do now? Which case to execute first? Hence for a successful execution of a job or process we need to learn the process of prioritization This is the most difficult and subjective area of testing. The process is analytic that calculates the risks, costs and values.