ANL503 Data Wrangling Assignment Sample SUSS, Singapore

Here, we shall be looking at the course which is quite famous and sought after. It is ANL503 Data Wrangling SUSS. In this sample, we shall learn all about this SUSS course. Therefore, without further adieu:

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Get assessment answers of ANL 503 Data Wrangling course

ANL503 Data Wrangling is a level five course that is offered by the SUSS. SUSS stands for Singapore university of social science. In addition to this, this course holds five credit units. This course starts in July each year.

Speaking of which, data wrangling is an advanced concept in the field of computer science. As such, this skill is also highly valued and sought after. Enrolling in this course can help students land better jobs and opportunities.

This course i.e. ANL503 Data Wrangling mainly focuses on teaching students the advanced methods related to data wrangling. For instance, skills that help them with data acquisition and manipulation.

In addition, the course uses MySQL, Python, and R to teach the concept. It discusses acquiring data in quite detail. Plus, it also concerns with the

relational database systems (using SQL), web scraping, and web APIs (using Python) in a scalable and reproducible manner.

Furthermore, SUSS also teaches about the transformation of raw that into a useable form. This is achieved through the use of MySQL, Python, and R. Finally, the course also teaches the basics of visualization. It uses R while doing so.

Moving on, there are several other learning outcomes of this course. We shall be looking at all of these here. Therefore, these are, as mentioned below:

Assessment of database designs

SUSS teaches students several important concepts. This learning outcome is one of them. Here, students are taught to assess the design of the database. Students learn to conduct assessments of the database’s appropriateness. This assessment is usually based on the characteristics of the concerned data as well as the needs of business analytics.

Constructive Critiquing

We know that criticizing is an important tool. Done right, it helps in correction and improvement. For that same reason, students enrolled in ANL503 Data Wrangling are taught just the same. As such, they learn constructive criticism. Moreover, this criticism is mainly focused on data visualizations.

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SQL queries Construction

SQL is an important element of data Wrangling. Thus, ANL503 Data Wrangling focuses greatly on the same. Students learn to construct appropriate SQL queries. These are then used to acquire data as well as reshape data into a suitable form.

Assembling data flow

Students learn to assemble the data flow which is effective for their concerned work. As such, it is a small fraction of the overall workflow process which is reproducible, This learning outcome also concerns MySQL, Python, and R, which helps in assembling data flow.

Data visualizations in R

Lastly, SUSS teaches students how to design data visualizations that are effective and meet the work goals. This learning outcome also teaches them to implement. Thus, completing the Process. R is used in this process.

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