About the course

Making data-driven decisions to stay ahead of the curve is imperative to the success of any business. In this course, you will learn how to understand big data, user-driven events, data science techniques and machine learning and apply this in order to inform successful product feature development and strategic business solutions.

This course takes a practical approach using BigQuery and Colab notebook to identify how you can recognise business problems, obtain data as the building blocks of problem-solving, and how to use data science techniques to help understand, build and validate possible solutions. You will be able to apply your learning immediately in the workplace, making proactive changes that secure strategic and financial success based on real data

What will I learn?

• Communicate data-driven decisions with authority to key stakeholders
• Determine the main components of Big Data, Data Science and Machine Learning and how they work in a practical web tech environment
• Undertake data analysis, data cleansing and data visualisation for data-driven product development to resolve strategic business issues
• Interpret what the tools are telling you in terms of data trends and how to modify your approach
• Strategically apply a range of data tools and methods to analyse and resolve common business issues.

Who is this course for?

• Those interested in learning how to effectively harness the new technologies of machine learning and data science in a business context.
• Individuals seeking practical, business-orientated applications for big data to improve strategy, productivity, or decision-making.

What will I get on completion?

This course is aligned to the following Credentials and Digital Badges: