Data Science

• • Programming Python libraries - numpy,pandas

  • Data Visualization - Matplotlib, Seboarn, TableU, PowerBI

  • Static Analysis, Probability Distribution, Data Analysis

  • Machine Learning

i. Supervised

ii. Unsupervised

· Natural Laungase Processing

• • Databases : SQL

  • Languages &Technology : Python,Core Java

  • Web Technology : HTML,Javascripts, Basics of Angular(Learning) .

  • Tools and Libraries : Anaconda, Jupyter, Spyder, Power BI, Eclipse.