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ADVAIT135 / repository
This repository has all the Pdfs along with Data Analysis Portfolio and Data Analytics Certificates from Trainity. Click on the below link for enrolling yourself into Data Analytics internship from Trainity.
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This repository contains all the PDFs, SQL scripts, datasets, portfolio projects, and certificates from the Data Analytics Internship with Trainity. It documents the journey through practical data analytics tasks, with a special focus on SQL and MySQL, as well as data analysis and visualization.
Interested in enrolling? Click here to join the Data Analytics Internship from Trainity!
This portfolio demonstrates hands-on skills in data analytics using MySQL, SQL scripting, and data visualization. It contains masterclass SQL queries, sample datasets, code output, and supporting documentation—ideal for showcasing your capabilities to potential employers or collaborators.
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├── Trainity_MySQL_MasterClass/
│ ├── Master_Class_1/
│ │ ├── trainity_mysql_master_class_1.sql
│ │ ├── employee_table.csv
│ │ ├── dept_locations_table.csv
│ │ └── ...
│ ├── Master_Class_2/
│ │ ├── trainity_mysql_master_class_2.sql
│ │ ├── exceution workflow.JPG
│ │ └── ...
│ ├── Master_Class_3/
│ │ ├── trainity_mysql_master_class_3.sql
│ │ └── ...
│ ├── Master_Class_4/ ... Master_Class_9/
│ └── README.md
├── certificates/
│ └── (PDF certificates)
└── portfolio/
└── (Data analysis project files)
Note: Not all files and folders are shown above. For the complete and latest file list, browse the repository on GitHub.
SQL & MySQL Master Classes:
Step-by-step SQL queries and command walkthroughs, including:
Sample Datasets:
CSV files used to demonstrate and validate SQL queries and data manipulations.
Portfolio Projects:
Applications of data analytics and visualization, showcasing practical knowledge and results.
Certificates:
PDF certificates earned during the internship, validating your learning and achievements.
git clone https://github.com/ADVAIT135/Trainity_Data_Analytics_Trainee.git
cd Trainity_Data_Analytics_Trainee
This project is licensed under the MIT License.