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Predicting customer behaviour towards targeted marketing ads on Facebook

Price

INR 495

Duration

3-4 hours

About the Course

Tool: Python
Machine Learning Technique: Convolutional Neutral Networks
Level: Intermediate

The internet has dramatically expanded the modern marketer’s tool kit, in large part because of one simple but transformative development: digital data. With users regularly sharing personal data online and web cookies tracking every click, marketers have been able to gain unprecedented insight into consumers and serve up solutions tailored to their individual needs. The results have been impressive. Research has shown that digital targeting meaningfully improves the response to advertisements and that ad performance declines when marketers’ access to consumer data is reduced. But there is also evidence that using online “surveillance” to sell products can lead to a consumer backlash.

Your Instructor

Arzoo Sabharwal

Arzoo Sabharwal

Arzoo Sabharwal is Data Scientist in Advanced Analytics team of IBM. She has good exposure to various tools like Watson Analytics, Watson Conversation Services, Watson Assistant, Watson Knowledge Studio and IBM Content Classification tool, R, Python, SPSS. She has a good academic background with graduation and post graduation in Economics from Delhi University.

https://www.linkedin.com/in/arzoo-sabharwal-2a474899

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