Data Engineering

COURSE DESCRIPTION

Learn the skills required to handle business events, business transactions, social data, and market data sets. You will be empowered to understand and work with RDBMS, NoSQL, and cloud file storage data. You will be processing the data sets based on the application requirement using Python and its libraries. You can build data pipelines in an enterprise to analyze the data, integrate the data, cleanse and handle the exception data with ease. You can be proactive and productive in any company you work for as a Data Engineer.

PROGRAM PATH

• Business 101

• Communication

• RDBMS (MYSQL)

• Python Core Programming

• Advanced Python Programming

• Python Data Processing & Analysis

• Power BI Visualization Tool

• AWS Cloud Services

• Linux and Shell Scripting

• Capstone Project

• Mentors Meeting

Learning Path

• Understand Business and Business Processes with different industries

• Organizing Data in Operational applications/system (OLTP Systems) and its attributes

• Learning MYSQL RDBMS, architecture, Learning Complete SQL Language

• Core Python, Python Data Processing, Accessing RDBMS, Processing and exploratory data analysis (Pandas, NumPy and Matlab packages)

• Analytical Platforms in enterprises (Data wareHousing, data lakes, Staging area, error handling, and cleansing techniques)

• Data Warehousing Architecture & Overview of the tools

• Data Lake Architecture & Overview of the tools

• Projects Capstone projects based on different industry problems (Retail & Healthcare)

Process For Payment