The series of MaGIC Tech Talks comes to a close with catalysing the public's awareness on Data Discovery and Augmented Analytics adoption in Malaysia. Aligned with the MySTIE framework, the focus of this session is to introduce use cases, benefits, emerging trends and equip participants with fundamental practical learning; familiarising themselves with the new emerging concepts, how the players industry operates and essentially evaluate the need for Data Discovery and Augmented Analysis when operating a startup.

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Course Breakdown

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Understanding Data Analysis

- Introduction to Machine Learning 

- Predictive, Prescriptive and Descriptive Analytics

- Frameworks for building ML systems

- CRISP-DM

- Practical example of data analytics

- Case Studies

Visualising Data Analytics 

- Why TABLEAU?

- Simplifying and sorting your data

- Measure names and measure values

- Business calculations

- Data Analytics using TABLEAU

- Case Studies

Augmented Analytics

- Augmented Intelligence vs Augmented Analytics – what is it?

- Technology infrastructure to support Augment Intelligence

- Building models to support Augment Intelligence

- Augment Intelligence in a Business Process

- Risks in Augment Intelligence

- What techniques makeup Augmented Analytics

- Usage of Augmented Analytics in today's Organizations

- Why is Augmented Analytics key to success today

- How can TABLEAU Augmented Analytics power up your decision making

Data Science

- Categories of Data Science

- Data science as an umbrella term

Artificial Intelligence 

- AI vs Data Science

- Impact of AI in Real-time

- Slicing the AI Space

Machine Learning

- What is Machine Learning?

- Types of Machine Learning

- Supervised and Unsupervised Learning

Deep Learning

- Deeper Dive into Deep Learning

- Artificial Neural Network

NLP

- Components of NLP

- NLP in today’s era

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