Data Scientist, Boeing
Data Engineering Manager, Microsoft Corporation
Data Engineer - Capacity Supply Chain and Provisioning, Microsoft India CoE
University of Economics and Technology, Instructor
In this SQL Project for Data Analysis, you will learn to efficiently leverage various analytical features and functions accessible through SQL in Oracle Database
Get started today
Request for free demo with us.
Schedule 60-minute live interactive 1-to-1 video sessions with experts.
Unlimited number of sessions with no extra charges. Yes, unlimited!
Give us 72 hours prior notice with a problem statement so we can match you to the right expert.
Schedule recurring sessions, once a week or bi-weekly, or monthly.
If you find a favorite expert, schedule all future sessions with them.
Source:
Source:
Source:
Source:
Source:
Source:
Source:
Source:
Source:
Source:
Source:
Source:
Source:
250+ end-to-end project solutions
Each project solves a real business problem from start to finish. These projects cover the domains of Data Science, Machine Learning, Data Engineering, Big Data and Cloud.
15 new projects added every month
New projects every month to help you stay updated in the latest tools and tactics.
500,000 lines of code
Each project comes with verified and tested solutions including code, queries, configuration files, and scripts. Download and reuse them.
600+ hours of videos
Each project solves a real business problem from start to finish. These projects cover the domains of Data Science, Machine Learning, Data Engineering, Big Data and Cloud.
Cloud Lab Workspace
New projects every month to help you stay updated in the latest tools and tactics.
Unlimited 1:1 sessions
Each project comes with verified and tested solutions including code, queries, configuration files, and scripts. Download and reuse them.
Technical Support
Chat with our technical experts to solve any issues you face while building your projects.
7 Days risk-free trial
We offer an unconditional 7-day money-back guarantee. Use the product for 7 days and if you don't like it we will make a 100% full refund. No terms or conditions.
Payment Options
0% interest monthly payment schemes available for all countries.
What is Dataset Analysis?
Dataset Analysis is defined as manipulating or processing unstructured data or raw data to draw valuable insights and conclusions that will help derive critical decisions that will 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.
Data Pipeline:
It refers to a system for moving data from one system to another. The data may or may not be transformed, and it may be processed in real-time (or streaming) instead of batches. A data pipeline is extracting or capturing data using various tools, storing raw data, cleaning, validating data, transforming data into a query-worthy format, visualization of KPIs including Orchestration of the above process is data pipeline.
What is the Agenda of the project?
The project’s Agenda involves Analyzing the data using SQL on the Oracle Database Software. We first download the Oracle Database 21c edition from the official Oracle website and understand the problem. Then a Password is set up for the “SYSTEM” username during the setup of Oracle Database 21c software. Then SQL Plus is used to connect to Oracle Database using the same credentials of the Oracle Database 21c.
Further, a Database connection is established from SQL Developer to the Oracle Database using the “SYSTEM” username and the password. Then tables are created in the database followed by data insertion into tables and exploration, i.e., noticing relationships between tables, walking through the columns, and seeing comments. Records are displayed in an ordered manner, handling NULL values, and selecting records based on patterns like Wildcard, Operators, etc. Then working on Data Manipulation commands(DML) for Data Analysis. Then taking Backup of the Table where migration is going on and use COMMIT and ROLLBACK commands. Then listing down distinct records, further renaming columns, and finally, listing down employee details based on the complex nested conditions.
Note:
For MAC users, please use the given labs to execute the project as Oracle DB doesn't support MACOS.
Recommended
Projects
5 Top Machine Learning Projects using KNN
Explore the application of KNN machine learning algorithm with these machine learning projects using knn with source code.
Feature Scaling in Machine Learning: The What, When, and Why
Enhance your knowledge of feature scaling in machine learning to refine algorithms, learn to use Python to implement feature scaling, and much more!
30+ Python Pandas Interview Questions and Answers
Prepare for Data Science interviews like a pro! Check out our blog with 30+ Python Pandas Interview questions and answers. | ProjectPro
Get a free demo