Data Analyst- | Business Intelligence | Python | Pandas |SQL
https://CoursePig.com
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.41 GB | Duration: 11h 7m
Data Analysis | Data Manipulation | Data Visualization
What you'll learn
Data Querying
Data manipulation
Data Visualisation
Data Cleansing
Data Transformation
Description
The data analyst serves as a gatekeeper for an organization's data so stakeholders can understand data and use it to make strategic business decisions.
Business intelligence (BI) helps organizations analyze historical and current data, so they can quickly uncover actionable insights for making strategic decisions. Business intelligence tools make this possible by processing large data sets across multiple sources and presenting findings in visual formats that are easy to understand and share.
There are four keys steps that business intelligence follows to transform raw data into easy-to-digest insights for everyone in the organization to use. The first three—data collection, analysis, and visualization—set the stage for the final decision-making step. Before using BI, businesses had to do much of their analysis manually, but BI tools automate many of the processes and save companies time and effort.