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Duration
6 weeks
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Commitment
6-8 hours per week
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Price
US$2,250
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Study mode
Tutor guided
Certificate of Achievement
Evidence your learning with a Certificate of Achievement from the University of Cambridge on successful completion.
- Start
17 April 2023
- Finish
29 May 2023
- Enrol by
11 April 2023
- Start
Discover more about this course from the expert(s) behind it
Course overview
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?
Evidence your learning with a Certificate of Achievement from the University of Cambridge on successful completion.
University of Cambridge course lead
Course dates
- 2023
17 Apr - 29 May
Places available
Enrol by 11 Apr
Requirements
Level of knowledge
- 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.
Materials & equipment
- 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)
- please see our recommendations on web browsers (Opens in a new window)
What our learners are saying
All the video materials and presentations were outstanding. The user interface was great and it made the learning process very enjoyable.
All the video materials and presentations were outstanding. The user interface was great and it made the learning process very enjoyable.
I enjoyed the hands-on, practical approach.
I enjoyed the hands-on, practical approach.
A good balance between understanding some technical details but not getting bogged down in too much technical detail.
A good balance between understanding some technical details but not getting bogged down in too much...
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