Big Data Analytics

In this Byte Size learning course, you will learn about some challenges and approaches in dealing with big data. The fundamental issue that big data analytics seeks to address is what to do when datasets become too big and unwieldy to be handled by a single computer. This topic is becoming increasingly relevant in a world where huge quantities of data are routinely collected by both public and private entities. 

Course image by rawpixel.com, 2025, free to use on Freepik.

In this Byte Size Learning, you will:

• Learn what big data is and appreciate the unique challenges that come with it.
• Understand big O notation for computational complexity.
• Know the concepts of parallel and cloud computing
• Learn about some software for carrying out big data analytics using R. 

This course is perfect for anyone keen on understanding the complexities of big data. It is ideal for those looking to enhance their skills in data management and analytics, particularly in contexts where data volumes exceed traditional processing capabilities. This course is suitable for anyone eager to tackle the data challenges of today's world. 

Participants should be comfortable reading, writing, and conversing in English.