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              #datascience

              Growth Hackers Experiments Logo

              Growth Experiments is a complete platform to track ideas, hypotheses and results. Try for free.

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              LATEST POSTS

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              Eugenia Kuzmenko kitrum.com | 8 minutes ago

              Comparison of Big Data Framework in the concept of Cloud Computing.

              Modern data cloud computing services offer infrastructures, technologies, and big-data analytics that helps to expedite the pace of big data analysis, as well as a reduction of its cost.

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              Nicolas Lekkas growthrocks.com | 4 months ago

              Performance Marketing - Full Guide [2020]

              Take a look at these three marketing metrics: ▪️ Brand Awareness ▪️ Brand Sentiment ▪️ Share of Voice Now, take a look at another set of marketing metrics: ▪️ Customer Lifetime Value ▪️ Customer Acquisition Cost ▪️ Conversion Rate If you had to pick one of the two sets, completely out of context, which one would you choose? Probably the second one, right? That’s the power of performance marketing. And here’s everything you need to know about it!

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              Jakub Linowski goodui.org | over 1 year ago

              Google Has Been A/B Testing Link Colors (Again) And This Light Blue Didn't Pass

              It's been a decade since it was first discovered that Google has famously tested those 41 shades of blue. Last month I discovered that they began experimenting with link colors on their search results screen - once again.

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              Facebook's Data Science Timeline

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              Video: Measuring for Growth: Understanding Your Data & Next Steps (from WMD 2015)

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              MORE ABOUT #DATASCIENCE

              Data science is the field of applying advanced mathematical and statistical techniques to large sets of data to uncover insights that can improve the performance of different parts of a business. Data science is used in growth to uncover commonalities between types of users that are either successful or unsuccessful with a product. Marketers and growth teams use data science findings to improve the performance of their product, user acquisition funnel, user retention and more. These are the best articles on how to use data science to grow your business. From how to analyze data using R, pandas for Python, regression, model building, SQL and more, you'll learn how to apply data science concepts to growth.

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