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The term Product Life Cycle (PLC) refers to the time period of a product being introduced to consumers into the market until it's removed from the scene. Five stages in PLC: Development- At this stage, costs are assembled with no parallel revenue. Some products require years and large capital investment to develop and then test their value. Since risk is high, outside funding sources are limited. Introduction- This stage is about growing a market for the product and building product awareness. At this stage marketing costs are high, as it's necessary to reach out to the target audience, also intellectual property rights protection is obtained. Product pricing may be high to recover costs linked to the development stage and funding for this stage is typically through investors. Growth- The product has been accepted by customers, and companies are seeking to increase market share. For innovative products, there is little competition at this stage, so pricing can remain at a higher level, both product demand and profits increase, and marketing is aimed at a wide audience. Funding for this stage is generally still through lenders or through increasing sales revenue. Maturity- Sales will stabilize, competition increases, so product features may need to improve to maintain market share while unit sales are at their highest at this stage, prices tend to reduce to be competitive. Production costs also tend to reduce because of more efficiency in the manufacturing procedure. Companies usually do not need additional funding at this stage. Decline- This is associated with decreasing revenue due to market saturation, high competition, and changing customer needs. Companies may choose to discontinue the product, sell the manufacturing rights to another business. This is the stage where the packaging will often announce "new and improved." PLC (Product Life Cycle) Watch AntWak's Ultimate PLC Management Guide videos by Real Life Professionals for better unders

Penetration testing (PenTest) is the cycle to distinguish security weak points in an application by assessing the system or network with different malignant strategies. The weak areas of a system are exploited in this cycle through an approved simulated attack. The objective of this test is to get significant information from hackers who have unapproved access to the system or network. When the weak spot is distinguished it is used to misuse the system to access critical data. A penetration test is otherwise called the pen test and an outside contractor is likewise known as an Ethical hacker. The pen testing cycle can be divided into five phases: 1. Planning and Reconnaissance The first stage includes: Characterizing the scope and objectives of a test, involving the systems to be dealt with and the testing strategies to be used. 2. Scanning The subsequent stage is to see how the target application will react to different interruption endeavors. This is normally done using, Static analysis: Estimating an application's code to assess how it acts while running. These devices can check the whole of the code in a single pass Dynamic analysis: Inspecting an application's code in a running state. This is a more functional method of examining, as it gives an actual view into an application's execution 3. Getting Access This stage uses web application attacks, for example, cross-site scripting, SQL injection and backdoors, to reveal a network's weaknesses. Testers at that point attempt and misuse these weaknesses, commonly by escalating privileges, stealing information, intercepting traffic, and so on, to comprehend the harm they can cause. 4. Maintaining and securing access The objective of this stage is to check whether the weakness can be used to get a constant presence in the exploited system. The intention is to copy advanced persistent threats, which usually stay in a system for a long time to take an organisation's most critical information. 5

Here's the step by step guide for Data Science Interview Process The Interview process begins directly from the point you begin investigating the various job positions that allure you. Furthermore, it goes up to the stage of in-person (face to face) interviews. Remember that this is a crucial interview procedure. You probably won't need to experience every single step in your interview procedure. Comprehend and follow the Different Roles, Skills and Interviews Update your Resume and Start Applying! Telephonic Screening Clearing the Assignments In-Person Interaction(s) Post-Interview Steps The above-mentioned steps will be helpful all through your Interview preparation! Know about different Roles, Skills and Interviews in Data Science The main thing you need to comprehend is that there are many jobs in the data science environment. An average data science project has a life cycle. A data scientist is just one part of an effective data science project. Let's check out a quick run-through of different data Scientist job roles. Data Scientist Business Analyst Data Analyst Data Visualizer Analyst Data Science Manager Data Architect AI Engineer PC Vision Engineer You need to have great correspondence and critical thinking skills. You need not know Python and technicals skills. A data architect will probably be tested on his/her programming skills. Get prepared as per the company's expectations. Prepare for the interviews- Create your Digital presence Over 80% of employers we addressed revealed that they check an applicant's LinkedIn profile. Recruiters need to crosscheck and assure the claims made in the resume are genuine or not. You ought to have a LinkedIn profile. It ought to be updated and enhanced by the role(s) you're applying for. Make a GitHub account. Writing computer programs is a crucial task in the data science job role. Transferring your code and ventures to GitHub helps the recruiters see your work directly. Regularly

Explore the rock cycle with this useful science site which provides an excellent introduction to the topic through interactive flash activities. http://ictmagic.wikispaces.com/Science

A useful interactive science presentation about the water cycle. http://ictmagic.wikispaces.com/science

Does your bad credit often hold you back to avail a loan? In order to keep up with the bills, most of the people rely on taking out short term external cash assistance but end up falling into the debt cycle.

High-end quality manual testing certification from industry expert trainers at Multisoft Systems! In-depth training on application test life cycle management based on ISTQB certification pattern.

Lean product development (LPD) is an approach to meet the challenges of product development based on innovative solutions, and cutting costs through narrowing down on redevelopment cycles.

Blueback is a beautiful metaphor for life and particularly of the life we live in schools. When looked at close up, with an eye on the details, the experience of school is one of passing and recurring cycles. When looked at from a distance, with an eye on the whole, there are elements of constancy, the throughlines which bring meaning to our experience and which have as their consequence the residuals of education. 

Assessment is arguably the piece of the learning cycle we get most wrong. Whether looked at from the perspective of the learner, the teacher, the school administrator, the politician or the parent, assessment is misunderstood and poorly utilised as a tool for learning. The importance of changing this situation is only made more salient in light of the countless research studies from the likes of Jon Hattie & Dylan Wiliam that points to the power of effective assessment. So, what are the common mistakes and how might we avoid them?

Despite this being a 'thinking' conference, despite us all being advocates for structured and scaffolded models of thinking, not one group had applied any thinking routines, utilised a collaborative planning protocol or talked about applying an inquiry model or design thinking cycle. It wasn't that we didn't know about them. It wasn't that we don't know how to use them. It wasn't that we don't value them. We had all the knowledge we could desire on the how to and the why of a broad set of thinking tools and anyone of these would have enhanced the process, but we did not use any of them. Why was this the case and what does this reveal about our teaching of these methods to our students?

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Recently I have been diving into the world of Assessment, seeking to better understand how we might design effective processes around this essential phase of the learning cycle. In doing so I have found a wealth of resources and quality reads that offer insights and strategies to be applied into our classrooms. Here then is a sampling of what I have been reading. 

How to Prepare for a Data Scientist Interview? Are you struggling to get into data science and wondering what the interviews will be like? You might even know data science. You might also know about Data Science tools and techniques but still getting rejected in the interviews. It is essential to brush up your skillset to become a Data Scientist in demand. These are some times where many of us are hoping to change or find some job. Interview preparation has become an important step to land a good job. What's more, interviews are a serious thing for everybody. Uncertainty, randomness, and human blunders make an interview damn unnerving. Preparing for an interview is the only way to limit your misfortunes during an interview. Here's the step by step guide for Data Science Interview Process The Interview process begins directly from the point you begin investigating the various job positions that allure you. Furthermore, it goes up to the stage of in-person (face to face) interviews. Remember that this is a crucial interview procedure. You probably won't need to experience every single step in your interview procedure. Comprehend and follow the Different Roles, Skills and Interviews Update your Resume and Start Applying! Telephonic Screening Clearing the Assignments In-Person Interaction(s) Post-Interview Steps The above-mentioned steps will be helpful all through your Interview preparation! Know about different Roles, Skills and Interviews in Data Science The main thing you need to comprehend is that there are many jobs in the data science environment. An average data science project has a life cycle. A data scientist is just one part of an effective data science project. Let's check out a quick run-through of different data Scientist job roles. Data Scientist Business Analyst Data Analyst Data Visualizer Analyst Data Science Manager Data Architect AI Engineer PC Vision Engineer

Know about different Roles, Skills and Interviews in Data Science The main thing you need to comprehend is that there are many jobs in the data science environment. An average data science project has a life cycle. A data scientist is just one part of an effective data science project. Let's check out a quick run-through of different data Scientist job roles.

If we believe that all learning is a consequence of thinking, then we should consider what types of thinking our learners are likely to benefit from at each phase of their inquiry. This is where the Understanding Map, developed by Ritchhart, Church & Morrison offers useful guidance. By contemplating the demands of each phase of our chosen inquiry model, we can plan for how we might scaffold thinking moves which will enhance our learners' learning.

Assessment is an essential component of the teaching and learning cycle but sadly it is one that is often misunderstood. If we are to have any hope of getting it right we must begin with a sound understanding of what we hope to achieve, what is being assessed, who is being assessed and what will be done once the results are available.

What does it mean to have learned something? What occurs within the individual as they are learning and what changes occur as a result of that learning? At some point in the teaching/learning cycle we need to ask this question and ponder our definition of learning and the consequences that follow from our conclusions.