In this course I will walk you through the details of various data engineering methodologies using python. Each modules will be interactive and based on hands on.
COURSE OVERVIEW
Data Engineering using python will help you make career in Data engineering space.
Various Data Engineering activities like data ingestion, acquisition, data processing and building ETL pipelines using python is main objective of this course. As part of this course you can get clear idea how to process data using python.
Who is this course for
01
Data Analytics professionals specially who works in Engineering space with less experience.
02
Engineering College Students who wants to make career in Data World.
03
Professionals who want to migrate their career to Data space.
What you’ll get out of this course
- You will be able to ingest data into your desired environment.
- You will be able to pre-process data.
- You can transform data as per your business needs.
- You will be able to load data to your desired environment as well.
HOSTED BY
Subhadip Mukherjee
Sr. Data Engineering lead at reputed MNC, having 14+ experience.
PRICING
Duration: 3 days, 5 hours in total.
Price: $75 USD. $15 per module.
Course syllabus and schedule
01 First Module – Day 1 – Hour 1
Introduction of the workshop.
Environment setup for all activity.
Library examples. Pandas, Dask, Veax etc.
Data Ingestion hands-on. (File, Database, Cloud).
02 Second Module – Day 1 – Hour 2
Data processing and transformation.
Building sample ETL flow.
Orchestration and scheduling using Airflow.
03 Third Module – Day 2 – Hour 3
Cloud demo – GCP.
Cloud storage, BigQuery to handle huge data.
Usage of Python to use GCP services.
04 Fourth Module – Day 2 – Hour 4
Huge data handling in python.
Usage of Dask and Veax.
Combining everything to your ETL need.
05 Fifth Module – Day 3 – Hour 5
A touch on Visualisation.
Usage of Python libs for visualisation.
Closing touch for the workshop.
Frequently Asked Questions
What happens if I can’t make a live session?
The session will be recorded. Video link will be shared.
I work full-time, what is the expected time commitment?
Sessions will be scheduled on weekends.
What’s the refund policy?
There will be no refund. But yes, if you cannot make it due some legit reason, I will refund you completely.