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Upskilling for Emerging Industries Affected by Data Science

Smart Data Collective

Are you ready to future-proof your data science career? In a rapidly changing job market, upskilling is essential. The Importance of Upskilling in a Changing Job Market as a Data Scientist You need to understand the importance of upskilling in a changing job market.

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Harnessing the Power of Analytics For Direct-to-Consumer Businesses

Smart Data Collective

Competitor analysis: You can also use data to analyze the larger market, helping you to stay informed about what your competitors are up to. By monitoring industry data along with competitive intelligence you can spot opportunities and make valuable strategic adjustments that help you beat out your competitors.

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What Are the Most Important Steps to Protect Your Organization’s Data?

Smart Data Collective

Business data is highly valuable for cybercriminals. They even go after meta data. Big data can reveal trade secrets, financial information, as well as passwords or access keys to crucial enterprise resources. Stolen data can be sold on the black market or used for extortion like in the case of ransomware.

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Data Science Journey Walkthrough – From Beginner to Expert

Smart Data Collective

Use regression for understanding the relationship between data and for predictions. For example, predict the stock price using the previous day’s price, market movement, and news. Along with data science, other related skills are needed to work on data science projects. Use cases of data science.

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Career Transition to Tech and Supporting Women in Tech: TDI 37

Data Science 101

Drawing straws in my head, I’m going to have to go with my recent promotion from an analytics/development role (big data marketing segmentation would maybe be the best way to describe it) to a product management role… But it wasn’t the promotion that was significant.

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How Aura from Unity revolutionized their big data pipeline with Amazon Redshift Serverless

AWS Big Data

Aura from Unity (formerly known as ironSource) is the market standard for creating rich device experiences that engage and retain customers. Aura’s initial data pipeline Aura is a pioneer in using Redshift RA3 clusters with data sharing for extract, transform, and load (ETL) and BI workloads.

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Your Effective Roadmap To Implement A Successful Business Intelligence Strategy

datapine

Over the past 5 years, big data and BI became more than just data science buzzwords. Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on.