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Any good tasks for studying? Going from Advertising to Knowledge Science

I am pretty new to this subreddit, so please bear with me if I am not solely accustomed to the customs right here.

To offer you a little bit of background, I have been working within the advertising subject for the previous 5 years, primarily specializing in Pay-Per-Click on (PPC) campaigns. Just lately, I realized that my present place is coming to an finish. Whereas I am going to definitely miss sure facets of my job, I discover myself feeling excited concerning the potential alternatives.

Given my analytical nature and curiosity in uncovering traits, I’ve began contemplating a transition into information science. I’ve at all times discovered myself drawn in the direction of leveraging information to enhance marketing campaign efficiency, so it looks like a pure step. Finally, I am hoping to refine my expertise and acquire a deeper understanding of knowledge interpretation.

I’ve used GPT-4 to create a examine curriculum (which I’ve included under) and have a few questions for you:

1. Are you able to suggest any self-learning platforms that concentrate on project-based studying? I am significantly curious about constructing an attribution mannequin, creating buyer segments, predicting buyer churn, and so forth., however I am not sure the place to begin.
2. Does the examine timeline/order look cheap? I notice {that a} 12-week timeframe is perhaps formidable, however I am hoping to expedite my studying as soon as I can dedicate extra time to review.

Thanks for taking time to learn my publish.

**Week 1 – Week 2: SQL**
**Week 3 – Week 4: Knowledge Visualization and Communication**
**Week 5 – Week 6: Experimental Design and A/B Testing**
**Week 7 – Week 8: Machine LearningWeek 9: Buyer Segmentation**
**Week 10: Attribution Modeling and Advertising Combine Modeling**
**Week 11: Time Collection Evaluation**
**Week 12: Remaining Mission and Job Preparation**

Comment ( 1 )

  1. 1. Read Predictive Marketing by Ömer Artun and Dominique Levin. It should be relevant to what you are looking for.

    2. Unless you’re Will Hunting who can learn all of machine learning within a couple of weeks, no.

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