Gained comprehensive knowledge of Big Data concepts, applications, challenges and technologies like Hadoop, Spark, MapReduce, NoSQL and data storage technologies.

-Shadowing and Observing the Data Science team, actively participating in meetings and collaborative discussions.-Working on real-world data tasks using PySpark, Tableau, PostgreSQL and understanding the business.-Hands on churn analysis project.

4 months program included technical and non-technical training, consisted of 288 hours of technical courses and hands-on tasks and projects in python, oop, statistics and mathematics, data science, machine learning, deep learning (CV and NLP) and big data.132 hours of business skills included: soft skills, business English, project management and freelancing.

During one month training I expanded my knowledge of HTML5, CSS, Java Script, JQuery, Bootstrap and Vue.js and further strengthened these skills by working on various tasks.

The training covered sessions in the electronics and electrical components of machines and generators, PLCs and microcontrollers and implementing the theoretical knowledge practically.