Fundamentals of Data Analytics

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.

• What does it mean to be Data Literate?
• Data Literacy Roadmap and Adoption
• Why data is important for any organisation?
• What can be done with the data?

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 Touchpoints
• Data Collection Methodologies
• How clean should the data be made?
• Typical Data Cleaning and Transformation techniques

 

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.

• Defining a business problem
• What parts of the data are important?
• How do you formulate questions from the important part of the data?
• Answering the questions through the data

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.

• The Analytics Roadmap for a Business
• What does Analytics consist of?
• Does Analytics involve Statistics? Understanding important statistical concepts
• Exploring relationships in the data using statistical and non-statistical methods

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.

• What are the various types of visualisations available?
• How do we link data to visualisations? Choosing the right kind of visual for the right context
• Deriving insights from visualisations
• Best practices of data visualisations
• Exploring business cases

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.

• Why is Data Storytelling important?
• How to Identify your Audience?
• Key Elements of Data Storytelling
• Pitfalls of Data Storytelling
• Exploring Narrations

 

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.

• Visual and data-informed decision making
• Decision-making techniques

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.

• Introduction to predictive analytics
• Introduction to time series
• What is machine learning all about?
• Application of machine learning to business
• What’s next with data?

• World-class training – by learning from TÜV SÜD’s industry experts and training specialists
• Interactive learning style – with interactive formats such as lectures, illustrations and simulations are used
• Networking opportunity – where you can meet and build network with like-minded individuals at our instructor-led training
• Gain a competitive edge – by getting trained by experts known in the fields of safety, security and sustainability.

To enroll, please fill out the form on the webpage accordingly.

Participants will learn through role plays, case studies, group exercises, scenarios and discussions.

There are no in-between assessments, but case studies will be included in the Fundamentals of Data Analytics course.

Yes, please contact us at [email protected] for more details. Terms and conditions apply.

Yes, you can register for any e-learning courses. If you have special requirements, please contact us at [email protected] and we can customise a suitable package for you.

Yes, you will receive a certificate of completion at the end of the Fundamentals of Data Analytics course.

The Fundamentals of Data Analytics 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 Fundamentals of Data Analytics course content based on current business landscape and market requirements. The experts also undergo relevant upskilling programmes, benefitting from TÜV SÜD’s 150 years of expertise and global heritage.