1- Data Visualization (80%)
2- Data Prepration (50%)
3- Machine Learning (40%)
4- Deep Learning (30%)
5- Statistical Analytics (600%)
6- Natural Language Processing (30%)"
Operating system: Windows (intermidiacte), Linux (basic)
Database/Server: My SQL (basic)
Programming Language: Python (intermidiacte), scitkit-learn (intermidiate), D3.js
(basic), R programing (basic), HTML (intermidiate), JavaScript (basic)
Other Software/Tools: Deep Learning (basic), Machine Learning (basic)
1- Advanced Models in Smartpls (2022) credential
credential
2- Creating Models using Smartpls (2022) credential
credential
3- Machine Learning Foundations: A Case Study Approach (2021)
credential
4- NVivo Online Training (blended learning) (2021)
credential
5- D3.js Essential Training for Data Scientists (2020)
credential
6- R Essential Training: Wrangling and Visualizing Data (2020)
credential
7- Intermediate Pandas Python Library for Data Science (2020)
credential
8- Pandas Python Library for Beginners in Data Science (2020)
credential
9- MATLAB Onramp (2020)
credential