Alex Maksimov @mxmvanalytics

Sharing my thoughts on business and analytics. Head of Analytics @ Google. Follow me for useful tips, unsolicited advice and thought provoking data points. London, England Joined May 2023

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Following

291
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70

Nick Singh | The Data Science Guy 📕 @NickSinghTech

2 years ago

So glad Harvard Business Review thinks Data Science is both useful and easy to learn compared to difficult, useless statistics & math 😂

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Alex Maksimov @mxmvanalytics

2 years ago

#Attribution seems to be still at the top of the trifecta of marketing measurement. Do you expect that to change? 👇

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If you are new to analytics, start with #Excel or #SQL. Both have very low skill floors - meaning you can start having an impact quickly. Both have very high skill ceilings - meaning you can keep learning new things and improving for a long time. #Analytics #DataScience

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Alex Maksimov @mxmvanalytics

2 years ago

There are about 1 in 10ish searches for index match vs vlookup. This rises to 3 in 10 in Norway, Denmark and Sweden. 😮 We all know the correct answer to this debate, don't we? 😁 #Excel #DataAnalytics

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Alex Maksimov @mxmvanalytics

2 years ago

Unsurprising, but fun to see. #HODL #GenerativeAI #dataviz

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Alex Maksimov @mxmvanalytics

2 years ago

In gaming, "smurfs" create new accounts to play with newbies and get easy wins. In #business, this is called sandbagging-intentionally setting low expectations and overdelivering. It’s uncool. In your next #analytics project, set a high bar and push to go as far as possible.

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Mark Tenenholtz @marktenenholtz

2 years ago

Time-series forecasting is becoming a lost art. It’s the engine behind the $5,000,000,000,000 retail industry in the US. And yet, research progress is slow and the best tricks are locked away. But why is it particularly tough even in the current AI breakthrough? Here’s why 🧵

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Dave @thedavescience

2 years ago

Reminder: The job title doesn’t have to be “Data Scientist” for it to be an exciting, high-paying data job.

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Alex Maksimov @mxmvanalytics

2 years ago

Not every report needs to be automated. Not every data point should live in a realtime dashboard. Time savings need to be evaluated against the ongoing cost of maintaining automated reports and dashboards. #Analytics #DataScience

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Zach Wilson @EcZachly

2 years ago

Math fundamentals are critical for being good at data science! What math do you need? - probability and statistics - calculus - linear algebra If you liked this content, subscribe to my newsletter ZachWilson.tech #datascience

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Alex Maksimov @mxmvanalytics

2 years ago

Once you get comfortable with #SQL basics, you will soon realise that you can do so much more with it - things such as calculating regression coefficients or recursive data generation. #DataScience #Analytics

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Alex Maksimov @mxmvanalytics

2 years ago

If you are not ready for an important meeting, reschedule it. It is far more damaging to your reputation to show up with a half baked analysis or vague recommendations. #Analytics #datascience #consulting