Data Engineer - Capacity Supply Chain and Provisioning, Microsoft India CoE
Data Scientist, SwissRe
Senior Data Engineer, National Bank of Belgium
Head of Data science, OutFund
In this SQL Project for Data Analysis, you will learn to efficiently write sub-queries and analyse data using various SQL functions and operators.
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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 third project in the SQL project series; the second project involved 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). This project involves the data analysis using Sub-query, Group-by clause and Exists clause. It also consists of using inline view and aggregate functions(Min, Max, Count, Avg) to perform better analysis on data.
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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