Adding value with our service portfolio
Adding value with our service portfolio
Numerous organisations and individuals today are embarking on the journey of digital and data transformation. The primary step in this process is data literacy, the ability to communicate, read and write about data in specific contexts and analyse the data effectively. Furthermore, both individuals and organisations need to know how to access and assess data, find meaning and derive actionable business insights.
Putting data to good use is the key for any business. Individuals should be able to use data to influence their daily activities as well as big-picture decisions. It is critical for everyone to know how to do the above, not just the data analysts or the data scientists. Being data literate will allow an employee or individual to experiment with the data and uncover new insights and generate opportunities. In addition, being data literate is a big part of data security and would reduce risks of data breaches and issues.
Our Fundamentals of Data Analytics course is designed to provide you with a solid foundation in the principles and practices of data analytics. You'll learn essential concepts such as data collection, validation, visualisation and analytics, storytelling, and data-driven decision-making.
Duration: 1 Day
Topics to be covered in this course include:
The first step before diving into the complex operations with data is to understand what data is all about and why it is important for any organisation or business to be data literate. This module explores those perspectives.
Data is the primary resource where things start. It is important to know where data can come from and how data should be collected. This module covers the in-depths of this process.
Data is all about asking questions and building up the business value. This module covers how and what kind of questions should be asked from the data. It is important to ask critical questions which may help the business.
In order to uncover insights using statistics and other techniques, it is imperative to know how it can be applied to the data and what it can give you. This module solely focuses on establishing foundational analytics and exploring relationships in data.
Data in textual format is not the best way to derive insights and understand data. Visuals, Charts & Graphs always appeal to a wider audience because it makes the data easier to understand and comprehend. In this module, we will learn what data visualisation is all about and the best practices with data visualisation.
Communication is key with data. Being able to narrate a story with your data through your visuals and business insights is critical. This module focuses on how a story can be developed from dashboards and visuals and how this should be communicated to different audiences.
The end goal with data is always to drive value and gather insights. Ultimately, any organisation would want to take decisions based on the gathered insights to help the business. This module enables you to understand, through various business cases, how that value can be derived and how decisions can be made based on the data.
There's a lot more that can be done with the data, especially by employing new techniques and advanced analytics. This module gives you an overview of how predictive analytics, machine learning and other technologies can help you maximise the use of your data.
Participants will learn through lectures, case studies, group exercises, hands-on exercises and discussions. The course will be conducted in face-to-face or virtual format with a duration of 8 hours.
This course is specially designed for:
Prerequisite: No prior knowledge is required to take this course
The course content and structure are designed by the domain experts from TÜV SÜD.
With immense experience and knowledge in the relevant standards, our team of product specialists and technical experts at TÜV SÜD, developed the course content based on current business landscape and market requirements.
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