| Python Scripting with libraries i.e. numpy, matplotlib, pandas, seaborne, pycaret |
Intermediate |
3 |
| PowerBI for data visualisation, data analysis, data modelling |
Intermediate |
3 |
| Regression analysis (Linear, Multiple, Polynomial, Support Vector Regression) |
Intermediate |
3 |
| Classification (Logistic, KNN, Support Vector Machine, Naive Bayes, Decision Tree, Random Forest) |
Intermediate |
3 |
| Clustering (K-means, Heirarchical) |
Intermediate |
3 |
| Dimensionality Reduction (Principal Component Analysis, Linear Discriminant Analysis) |
Intermediate |
3 |
| Robust modeling, model maintenance, model deterioration |
Intermediate |
3 |
| DAX Measures, PBI Gateway troubleshoot, security level setup |
Intermediate |
3 |
| Data Wrangling, Data Mining using R |
Intermediate |
3 |
| Data Warehouse, ETL, Microsoft BI Tools: SSDT-BI, SSIS |
Intermediate |
3 |
| Data truncation, anomalies, Error troubleshooting in SSIS using Conditional Split |
Intermediate |
3 |
| Microsoft SQL Server 2017, MSVS Shell |
Intermediate |
3 |
| Deep Learning (Artificial Neural Network, Convolutional Neural Network), Natural Language Processing |
Intermediate |
3 |
| Keras, Tensorflow, Scikit Learn |
Intermediate |
3 |
| Model Evaluation, Selection and model boosting using XGboost, catboost |
Intermediate |
3 |
| SQL Database, views, stored procedures, functions |
Intermediate |
3 |
| Data Scraping Using Selenium, Beautiful Soup, Scrapy |
Intermediate |
3 |
