By the end of the course, you will be able to:

• 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.

Business Intelligence (BI) refers to the technologies, strategies, and processes used to analyse and transform raw data into meaningful and actionable information. The main goal of BI is to enable organisations to make data-driven decisions and gain insights that can improve their overall business performance.

Big Data refers to extremely large and complex datasets that exceed the capacity of traditional data processing and storage systems to handle, process, and analyse that data efficiently.

The scope of leveraging big data for business intelligence is extensive and transformative. With advanced analytics and vast data sources, businesses gain valuable insights for enhanced decision-making, personalized customer experiences, predictive analytics, and streamlined operations. Big data enables market analysis, product innovation, and fraud detection while revolutionizing sectors like healthcare and supply chain management. As technology progresses, big data's potential to drive competitive advantages and optimize business processes is expected to grow further.

Dr. Russell Hunter, PhD Computational Neuroscience,Senior Software Engineer and a researcher at the University of Cambridge will lead the delivery of the course. Dr. Russell Hunter completed his studies in Mathematics with Computer Science at the University of Stirling and obtained a PhD in Computational Neuroscience researching storage and recall in biologically plausible neural networks. He has recently switched to industry currently working as a technical lead developing websites, apps, serverless architectures and applying machine learning models after spending 8 years as a postdoctoral researcher at the University of Cambridge developing large scale novel educational apps to help improve problem solving in prospective undergraduate engineers. Russell has had a varied career with research involving software engineering, image processing and edtech whilst lecturing Computer Science.

• 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.

Our certificated courses reflect the Cambridge experience and values, with low student to tutor ratios and academically rigorous standards. Our learning model is designed to help you advance your skills and specialise in emerging areas that address global challenges. We will help you build your network through an engaging and impactful learning journey that encourages collaboration. Courses are delivered in weekly modules, allowing you to plan your time effectively. The assessment criteria will be presented to you at the start of the course, so you can approach your studies with confidence and motivation, knowing what is expected of you and how to meet those expectations.

Throughout your online learning experience, you will have access to your course tutor, who will help facilitate your learning and provide you with support and guidance during your studies. You can interact with your tutor through a range of media, such as live sessions, discussion forums, email or canvas messaging.

Each course includes a balance of:

• Interactive learning and real-world application so you can directly apply what you’re learning to your own context.
• Diverse teaching methods to enhance learning outcomes which will be delivered via learning activities such as University of Cambridge academic led videos, quizzes and group work.
• Optional live sessions (1 hour) with University of Cambridge academics and tutors to deepen your understanding of the week's material. These sessions may include an informal Q&A, a short lecture or a breakout activity that builds on the content introduced that week. All sessions are recorded and made available to stream so you can catch up whenever suits you.
• Guided critical thinking via our reflective workbook so you can collect, structure and summarise information and your thoughts as you progress through the course.

Although you do not need to know how to use data analytics tools to join this course (as the course will introduce you to these), it is recommended that you have a general understanding of data and data analysis and a level of spoken and written English sufficient to allow you to participate and succeed in the course (we recommend that you have an English Language level equivalent to an IELTS score of 7.

This course will be of interest to, but not limited to, the following:

• Product Owners or Managers
• Technical Product Owners or Managers
• Data Product Owners or Managers
• AI Product Owners or Managers
• Software Engineers
• Any professional looking to obtain data skills

You’ll be assessed using a range of modalities that emphasise real-world application of course material. On completion of your Cambridge Advance Online course, you will be eligible for a Certificate of Achievement and digital badge. To get your Certificate you must achieve a minimum grade of 70% on course activities and your final tutor-marked project.

Evidence your learning with a Certificate of Achievement from the University of Cambridge Online on successful completion.

This certification in Leveraging Big Data for Business Intelligence offers in-demand skills, career advancement, data-driven decision-making, and a competitive edge. It enables professionals to extract valuable insights, optimize processes, and understand customer behavior, fostering innovation and better business efficiency.

• Participants will need to register for a free Google Cloud (Opens in a new window) account to access 'BigQuery'.
• Sufficient internet speed and stability for video streaming (2 Mbps up/down).

During your online learning journey, you will have the valuable opportunity to engage with a dedicated course tutor. They will play a crucial role in facilitating your learning and offering support and guidance throughout your studies. You can easily interact with your tutor through various mediums, including live sessions, discussion forums, email, or the canvas messaging system.