CDS Video Series | Sec 02 – Data Engineering and Databases

01 · What you'll be able to do

Three things you can ship afterwards.

Data Engineering is one of the most important aspects in the field of data science. It is concerned with storage, accessing, processing and managing the data required for any modelling and analysis purpose. With various types of data available from different sources and required for different types of model building, knowing data engineering is a must for any data science professional. ADaSci is coming up with this opportunity to let data science aspirants dive deeply into data engineering. In this workshop, the attendees will get a complete understanding of the concept of data engineering and where and how it is used. Different methods of processing the data, feature engineering and munging will be discussed in this workshop with hands-on experiments. Along with this, they will also gain familiarity with different types of databases and methods to handle these databases. Learning Outcomes: Complete understanding of Data Engineering and its importance in Data Science Knowledge of different types of databases with their use and importance In-depth understanding of data wrangling and feature engineering techniques Hands-on exposure to different feature engineering techniques is required before modelling purpose Note: ADaSci Members get 50% discount and Premium Members get 100% discount on the course.