Global Data Community Lead | Lead Data Scientist, Thoughtworks
Senior Data Engineer, Hogan Assessment Systems
Data Scientist, SwissRe
Senior Data Engineer, Publicis Sapient
In this SQL Project for Data Analysis, you will learn to efficiently analyse data using JOINS and various other operations accessible through SQL in Oracle Database.
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Dataset Analysis is defined as manipulating or processing unstructured or raw data to draw valuable insights and conclusions that will help derive critical decisions that add some business value. The dataset analysis process is followed by organizing the dataset, transforming the dataset, visualizing the dataset, and finally modeling the dataset to derive predictions for solving the business problems, making informed decisions, and effectively planning for the future.
Oracle SQL Developer is a free IDE that makes it easy to develop and operate Oracle Database in both traditional and cloud environments. SQL Developer is a complete end-to-end development of PL/SQL jobs, worksheets for running queries and scripts, DBA for database administration, reporting interfaces and comprehensive data modeling output.
This is the second project in the SQL project series, the first project involved the installation of Oracle and the basics of SQL. This project’s Agenda involves Analyzing the data using SQL on the Oracle Database Software. Understanding different types of Joins(Inner join, Left outer join, Right outer join, Full outer join, Self join), different types of Operators(Minus, Union, Union all, Intersect).
SQL Programming language
Oracle SQL Developer
Note:
For MAC users, please use the given labs to execute the project as Oracle DB doesn't support MACOS.
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