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Updated on: 18th May 2021
ANL552 Data Analytics for Managers Assignment Sample SUSS, Singapore

ANL552 Data Analytics for Managers Assignment Sample SUSS, Singapore

Business analytics or data analytics is one of the most prominent fields today. Therefore, more and more people are moving towards it. But where do you learn this skill? The answer is SUSS. It offers the ANL552 Data Analytics for Managers. This is one of the most sought-after courses.

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For that reason, we shall be discussing the very same concept in this sample. We will be focusing on its learning outcomes. However, first, we shall take an overview of the same. So, without further adieu:

Assignment Solution of ANL552 Data Analytics for Managers

We are living in the ongoing evolution of 4,0. With this evolution, there are certain changes in a range of things. It stretches from technology to machinery. As such, data analytics is quite an important part of the same. In fact, it has become a key tool in today’s businesses as a decision-making tool.
Therefore, people who are familiar with it or hold it in their skillset are highly valued. Thus,  they are sought after by big organizations. For the same reason, SUSS offers this course i.e. ANL552 Data Analytics for Managers.
With this course, students can learn the major skills needed for data analytics as well as data visualization in today’s competitive market. In addition to this, students will get familiar with formulating business issues and preparation of data. It is usually required for analytics solutions concerning business issues.
Furthermore, students are taught through hands-on projects. Thus, they gain much-required experience which allows them to use big data effectively and provide required insight to their concerned organization. Consequently, helping them perform better and make better decisions.
Moving on, we shall be discussing this SUSS course’s learning outcomes in detail. Therefore, these are, as mentioned below:

Assessment Business analytics

Before indulging in the main aspects, students are first taught how to assess the main aspects of the concerned business analytics. It helps them determine their goals and understand what they need to do. Therefore, we can say it is one of the most important learning outcomes of this SUSS course.

Analytical cycle’s evaluation

Data analytics is not a single task, rather it is a whole cycle that has several steps or stages. Therefore, students studying ANL552 Data Analytics for Managers are taught about the same.

As such, they learn about the evaluation of the analytics cycle in the said business. Thus, they are able to develop better models and in turn better results.

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Appraisal of analytics application’s feasibility

We know that business analytics is attained through using many different computer applications. These are known as analytics applications. Thus, the students are taught how to appraise the usability and feasibility of this application.

Therefore, these allow them to make use of the best application possible and gain the best outcome.

Statement creation for business problems

In the field of business analytics, creating a statement is quite an important aspect. Therefore, this SUSS course also teaches this to its students. Here, they are taught how to make a good statement regarding the problem that is being solved in analytics. It allows them to communicate better with Organization’s stakeholders.

Data preparation

The whole work of data analytics revolves around data for obvious reasons. That’s why one of the most important things taught in ANL552 Data Analytics for Managers SUSS is data preparation.

Students are taught how to prepare data or use big data for mining the same as well as analyzing it. In a nutshell, this step can make a large difference in the results.

Choosing right approach

In contrast to the last learning outcome, choosing the correct analytical approach is also equally important. Therefore, students at SUSS are taught to select the right as well as the most suitable approach for analytics. This decided the efficiency of the whole analytical work.

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