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Effective data science project relies on one critical aspect, data quality. With the right data quality, statistical analysis can then take place which translates data into meaningful insights for businesses. Data Validation plays an important role in ensuring the data is correct and useful in preparation for analysis.

This course provides essential insights into dashboard design, with a focus on practical skills in Tableau and Power BI (Business Intelligence).

In computer science particularly, you may have heard of the phrase “Garbage in, garbage out”; and that’s true for data analysis, the importance of having quality and the right data format is critical to any data science project. Data wrangling is the function of transforming raw data into data that is usable down the data science process.

In computer science particularly, you may have heard of the phrase “Garbage in, garbage out”; and that’s true for data analysis, the importance of having quality and the right data format is critical to any data science project. Data wrangling is the function of transforming raw data into data that is usable down the data science process.

Get an understanding of database management essentials with Structured Query Language (SQL). The course emphasises creating and modifying databases, retrieving data from multiple tables with basic and advanced SQL commands, and various functions for text and date searches.

Design Innovation (DI) is a design process that is user-centric and begins with execution of specific design methods. These methods guide activities that lead to desired outcomes.

Equips learners with the knowledge of human-centric design innovation framework to tackle complex problems and opportunities, namely: process, methods, mindsets and principles.

Experience a transformational learning journey of advanced design and engineering methods that will allow you to lead, build and instill a culture of design and innovation in your organisation.

Design Science is a research-driven field dedicated to understanding and improving the design process. This course applies the scientific method to analyse design activities and systematically develop and evaluate new design methods.

Digital has fundamentally shifted communication between brands and their consumers from a one-way broadcast to a two-way dialogue. In a hastened bid to transform their businesses to be digital market-ready, most businesses leave their brands behind in their traditional mode, simply replicate their existing brand message for the digital platform, or are unsure of how to make a transition.