Business intelligence (BI)
Business intelligence (BI) leverages software and services to transform data into actionable insights that inform an organization’s strategic and tactical business decisions. BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts and maps to provide users with detailed intelligence about the state of the business.
The term business intelligence often also refers to a range of tools that provide quick, easy-to-digest access to insights about an organization's current state, based on available data.
A variety of different types of tools fall under the business intelligence umbrella. The software selection service SelectHub breaks down some of the most important categories and features:
- Dashboards
- Visualizations
- Reporting
- Data mining
- ETL (extract-transfer-load —tools that import data from one data store into another)
- OLAP (online analytical processing)
Of these tools, SelectHub says the dashboards and visualization are by far the most popular; they offer the quick and easy-to-digest data summaries that are at the heart of BI's value proposition.
SQL
- DDL, DML, DCL & TCL statements
- Single Row functions
- General functions, Conversion functions, Date Functions
- Aggregated Functions
- Subqueries
- Joins
- Database Objects (Table, View, Synonym, Index & Sequence)
- Constraints
- Co-related Queries
- Analytical Functions
- Reporting queries concepts
PLSQL
- What is PLSQL?
- Anonymous block
- Non-Anonymous block
- Procedure
- Functions
- Cursor
- Types Of Cursor
- Trigger
Data Warehousing
- What is DWH?
- What is BI?
- Data Mart
- ETL
- Dimensions & Fact
- Types of Dimension
- Types of Fact & Fact Tables
Tableau
- Tableau Source Connectivity
- Tableau Interface
- Desktop and its components
- Data Connections
- Database joins
- Database blending
- Data source filters
- Live connection and its properties, advantages/disadvantages
- Extract connection and its properties, advantages/ disadvantages
- Live vs Extract
- Extract filters and incremental refresh of extract
Python for Data Analysis
- Import Libraries into Jupyter Notebook
- Intro to the Python
- Comments
- Basic Data Types
- Operators
- Variables
- Built-in-Functions
- Custom Functions
- String Methods
- Lists
- Tuples
- Positions & Slicing
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