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Data Analytics: Home

Getting Started with Data Anayltics

Check Out a Book to Learn About Data Analytics
Link to HBR guide to Data Analytics Basics for Managers in the Catalog
Link to Microsoft 365 Excel by Mike Grivin in the Catalog
Link to Data Analytics for Business Professionals in LinkedIn Learning
Link to Great Courses Big Data in Kanopy
Link to Advancing into Analytics from Excel to Python by George Mount in the Catalog
Link to Predictive Analutics for Dummies by Anasse Bari in the Catalog
Link to Microsoft Data Analytics for Dummies by Jared Dcker in the Catalog
Link to Behind Every Good Decision by Piyanka Jain in the Catalog
Link to Tableau Strategies by Ann Jackson in the Catalog
Link to Python for Finance by Yves Hilpisch in the Catalog
Link to AI for Lawyers by Noah Waisberg in the Catalog
Link to Blockchain Data Analytics for Dummies by Michael Solomon in the Catalog
Link to Doing Data Science by _______ in the Catalog
Link to Google Analytics Breakthrough by Feras Alhlou in the Catalog
What is Data Analytics?

Data analytics is the science of analyzing raw data in order to make conclusions about that information. Many of the techniques and processes of data analytics have been automated into mechanical processes and algorithms that work over raw data for human consumption.  Data analytics techniques can reveal trends and metrics that would otherwise be lost in the mass of information. This information can then be used to optimize processes to increase the overall efficiency of a business or system.

Understanding Data Analytics

Data analytics is a broad term that encompasses many diverse types of data analysis. Any type of information can be subjected to data analytics techniques to get insight that can be used to improve things.  For example, manufacturing companies often record the runtime, downtime, and work queue for various machines and then analyze the data to better plan the workloads so the machines operate closer to peak capacity.  Data analytics can do much more than point out bottlenecks in production. Gaming companies use data analytics to set reward schedules for players that keep the majority of players active in the game. Content companies use many of the same data analytics to keep you clicking, watching, or re-organizing content to get another view or another click.  Continue reading from Investopedia

Data Analytics Applications

In today’s world, data rules the most modern companies. Numerous packets of data are circulating all around the world due to increasing access to the internet. Businesses are aware that this data translates to information which they can use to improve their customer service, understand trends, or even find market loopholes.  To gain such important insight into data as a whole, it is important to analyze data and draw specific information that can be used to improve certain aspects of a market or the business as a whole. There are several applications of data analytics, and businesses are actively using such data analytics applications to keep themselves in the competition. Not only businesses but even civic bodies are using data analysis for several reasons, like monitoring crime. Continue reading from UpGrad