Advanced Customer Analytics: Strategic and Predictive Insights

In just six weeks, you’ll gain the strategic skills to transform data into powerful marketing decisions. You’ll explore techniques like natural language processing (NLP) for customer sentiment analysis, time series forecasting for predictive insights and BigQuery with SQL to uncover insights that can drive meaningful business impact. Through hands-on tasks that build towards a final Google Colab report, you’ll gain the expertise to become a strategic leader who understands the potential of data as a strategic business asset that’s poised to transform your future.

• Module 1: How data can improve marketing
• Module 2: Preparing data tools
• Module 3: Predictive quantitative methods
• Module 4: Qualitative insights from NLP
• Module 5: Advanced forecasting techniques
• Module 6: Course conclusion

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

• describe the key concepts of data-driven marketing, explaining their link with analysing customer behaviour and personalisation
• explain how different data sources and analytics tools – such as Google Colab and BigQuery – can be used to monitor the effectiveness of marketing campaigns
• employ time series forecasting in an online business environment using Google Colab
• examine how sentiment and emotion analysis is conducted, considering opportunities and limitations within your business context
• analyse how time series forecasting can be blended with NLP to increase the accuracy of your business strategies and campaigns
• create predictions for future activity in your context and make a plan for change based on your data findings and the marketing and product strategies.

On successful completion of the course, you’ll receive a certificate from the University of Cambridge and a digital badge to display on your LinkedIn profile. These Cambridge credentials not only showcase your knowledge and expertise but also demonstrate your commitment to professional development – helping future-proof your career.

This course is designed for strategic thinkers and innovation drivers who want to bridge the gap between data analysis and strategy – empowering you to translate complex data into compelling business narratives and game-changing marketing strategies. Whether you’re a marketing executive, data analyst, software engineer or senior business leader, you’ll gain the skills to understand and leverage data to help your business stay ahead of the pack.

From those just starting to explore data-driven strategies to experienced professionals looking to sharpen their expertise with the latest digital developments, this course offers a clear pathway to mastering the skills needed to stay ahead in today’s data-centric business world.

Our flexible, online courses – delivered via a world-leading learning platform – reflect the University of Cambridge experience and values, with low learner-to-tutor ratios and academically rigorous standards.

Our online learning model is designed to help you advance your skills and specialise in emerging areas that address real-world challenges. We will help you build your network through an engaging and impactful learning journey that encourages collaboration with academics and fellow learners.

Courses are delivered in weekly modules, allowing you to plan your time effectively around existing commitments. There is an optional weekly live session, which is recorded for anyone who can’t attend. 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 exactly what’s expected of you and how to meet those expectations.

Throughout your online learning experience with Cambridge Advance Online, you’ll have digital access to a dedicated course tutor, an expert in the field, who will help steer your learning and provide you with support and guidance every step of the way.

Level of knowledge and experience

• No previous technical experience is needed as you’ll be given step-by-step guidance every step of the way by experts from the University of Cambridge.
• You’ll need a good level of spoken and written English to make the most of the course (we recommend English language proficiency equivalent to an IELTS score of 7).

Materials and equipment

• Participants will need to register for a free Google Cloud (opens in a new tab) account to access ‘BigQuery’.
• Where possible, we ensure all of our course content is compliant to Web Content Accessibility Guidelines (WCAG) and is subject to regular review. In some cases, however, our course process requires the use of proprietary third-party tools such as Google Colab, which are subject to their own accessibility compliance. If you have any individual requirements, specifically relating to the use of a screen reader, please contact us at advanceonline@cambridge.org to discuss further.
• No specialist software or IT equipment required.
• Sufficient internet speed (2 Mbps up/down) for video streaming.
• Please see our recommended browsers (opens in a new tab).

Access to Virtual Learning Environment
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You can ask for support from your employer to fund this learning as part of your professional development.

Our Employer Funding guide has practical tips and templates to help you feel more confident asking for funding.

If your employer is funding your course or programme, we have several payment options available, including bank transfer (BACs), credit or debit card, and PayPal.

You can request a quote or an invoice for your organisation via our online course booking form, which will include a payment date and next steps for completing your payment.