data analytics training

Fundamentals of Data Analytics

Adding value with our service portfolio

Adding value with our service portfolio

ABOUT THE COURSE 

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

Language: English

 
WHAT WILL YOU LEARN FROM THE COURSE?
At the end of the course, participants will learn:
  • What Data Literacy is all about and its importance
  • Fundamental elements of data
  • Overview of data sources, where data can be obtained from and how data can be collected
  • How to ask questions about data
  • Data Analytics – Foundations, Basic Statistics, Reasoning
  • Data Complexity, Relationships in Data and Inference
  • Importance of data storytelling and visualisation
  • Interpreting and gathering insights from visualisation
  • Logical and critical thinking to make data-informed decisions
  • Using data to see the future 

Topics to be covered in this course include:

 

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