Data Analyst- Business Intelligence Python Pandas SQL
Develop essential data science & ai skills with expert instruction and practical examples.
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About This Course
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.
Step 1: Collect and transform data from multiple sourcesBusiness intelligence tools typically use the extract, transform, and load (ETL) method to aggregate structured and unstructured data from multiple sources. This data is then transformed and remodeled before being stored in a central location, so applications can easily analyze and query it as one comprehensive data set. Step 2: Uncover trends and inconsistenciesData mining, or data discovery, typically uses automation to quickly analyze data to find patterns and outliers which provide insight into the current state of business.
BI tools often feature several types of data modeling and analytics-including exploratory, descriptive, statistical, and predictive-that further explore data, predict trends, and make recommendations. Step 3: Use data visualization to present findingsBusiness intelligence reporting uses data visualizations to make findings easier to understand and share. Reporting methods include interactive data dashboards, charts, graphs, and maps that help users see what's going on in the business right now.
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