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Netflix Case Study (EDA): Unveiling Data-Driven Strategies for Streaming

Analytics Vidhya

As one of the leading streaming platforms globally, Netflix has revolutionized how we consume entertainment. Introduction Welcome to our comprehensive data analysis blog that delves deep into the world of Netflix. With its vast library of movies and TV shows, it offers an abundance of choices for viewers around the world.

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From Raw Data to Visualization: Marvel Social Graph Analysis

Smart Data Collective

Last year, we talked about the growing importance of big data in the entertainment industry. What’s amazing is that Marvel characters are developed through the influence of other Marvel heroes through data visualization. Through data visualization, they will know the heroes who are much more important than those with fewer priorities.

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Top 14 Must-Read Data Science Books You Need On Your Desk

datapine

We gave you a curated list of our top 15 data analytics books , top 18 data visualization books , top 16 SQL books – and, as promised, we’re going to tell you all about the world’s best books on data science. 8) “Storytelling With Data: A Data Visualization Guide for Business Professionals” by Cole Nussbaumer Knaflic.

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Why Nonprofits Shouldn’t Use Statistics

Depict Data Studio

— Thank you to Ann Emery, Depict Data Studio, and her Simple Spreadsheets class for inviting us to talk to them about the use of statistics in nonprofit program evaluation! But then we realized that much of the time, statistics just don’t have much of a role in nonprofit work. Why Nonprofits Shouldn’t Use Statistics.

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Social services provider uses artificial intelligence to provide genuine help

CIO Business Intelligence

In addition, the incapacity to properly utilize advanced analytics, artificial intelligence (AI), and machine learning (ML) shut out users hoping for statistical analysis, visualization, and general data-science features. As a result, data teams exhausted valuable time resolving problems and fixing glitches, and the approximately 1.5

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Glossary of Digital Terminology for Career Relevance

Rocket-Powered Data Science

7) Security (airports, shopping malls, entertainment & sport events). Computer Vision: Data Mining: Data Science: Application of scientific method to discovery from data (including Statistics, Machine Learning, data visualization, exploratory data analysis, experimentation, and more). Examples: (1) Retail. (2)

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Data Observability and Monitoring with DataOps

DataKitchen

A robust process checks source data and work-in-progress at each processing step along the way to polished visualizations, charts, and graphs. We liken this methodology to the statistical process controls advocated by management guru Dr. Edward Deming. Some argue that visual UI’s are better than SQL. Statistical Process Control.

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