Big Data Analytics: The Opportunities, Challenges, and Future

Big data has been the tip of everyone’s tongue yet people have been trying to fathom the full potential of big data for years. As digital devices, social media and touchpointsproliferates, so does the amount of data being created.

Beyond just large datasets, big data helps recognise patterns and behavioural trends help businesses to gain competitive advantage and make more informed decisions when properly applied. But big data comes with a price and what insights can industries derive from this inevitable powerhouse?

In this one-day big data analytics course, be equipped with a comprehensive overview of big data analytics including the terminologies used in this field. You will also explore how big data incorporates with artificial intelligence to provide data-driven insights to businesses to make informed and reliable decisions.

*Learners should have an internet-enabled laptop for this course.

• Define and understand the explosion of big data, data sources, and 7V’s of big data
• Understand the value of big data in pattern recognition and AI algorithms to exploit
• Understand different applications and case studies for big data analytics
• Evaluate big data analytics and opportunities to implement in the workspace and business
• Understand big data in decision-making and in business & government operations
• Understand the limitations of big data technologies and challenges of big data
• Explore the future of big data and its role in smart cities and related technologies

This course is designed for beginners with:

• No background or experience in coding, programming, and/or computer science
• No experience and knowledge of statistics or data analytics

Dwight Fonseka is the Head Data Analyst at Plano, the world’s first science-based parental control application and an Adjunct Lecturer at the London School of Business and Finance. His interest in the area of data developed sometime in 2014 when he ventured into data analytics and database management. 7 years later, he has achieved an impressive skill set in data. This includes advanced statistics, big data analytics, cloud computing, neural networks, R programming, python programming, business analytics, data storytelling, and more. Dwight has a Masters in Education (Curriculum & Teaching), a Microsoft Certificate of Achievement (SQL), and an Advanced Certificate in Learning and Performance (ACLP).