WOMEN IN DATA ENGINEERING PROGRAM
ABOUT
Women in Data Engineering is an in-depth program developed by leading experts in the Big Data industry.
The program starts with computer science fundamentals, such as Python Programming, Linux OS, and DB principles; covers the Hadoop ecosystem to provide an in-depth understanding of big data processing; and continues with hands-on project-based training needed to become a Data Engineer.
Tuition cost: FREE
Duration: 5 months
PROGRAM
Module 1
Fundamentals:
-
Computer Science
-
Python
-
DB
-
Database Theory
-
SQL
-
-
Linux OS intro
-
OLTP vs OLAP
Module 2
Hadoop ecosystem:
-
Overview and history
-
Apache Kafka
-
Storing data in Hadoop, HDFS, Parquet format
-
MapReduce - Apache Spark (OLTP)
-
OLAP - Data Warehouse
-
Apache Airflow, setting up data pipelines
-
Azure HDInsight, Apache Ambari
Module 3
Cloud Services for big data processing:
-
Azure
-
Event Hub (streaming)
-
Data Factory
-
Data Lake (lake house)
-
Databricks/Synapse (classic Spark)
-
SQL Datawarehouse
-
Power BI
-
-
AWS
-
GCP
Module 4
Final project and internship:
-
Collaborative work on a big final project
-
Splitting the task to sub-teams
-
Code reviews
-
Working with git repo
-
-
Finalizing Portfolio
-
Internship preparation
ELIGIBILITY
AND
TERMS
Eligibility:
-
Eligible status to study in US.
-
You should be at least 21 y.o.
-
You are ready to study full-time.
-
You are fully committed to finishing our program.
Completion requirements:
-
Minimum of 70% attendance grade
-
Minimum of 70/100 coursework grade
-
Final project completion
PROCESS
Application steps:
-
Fill in your contact information in the application form below
-
You will receive a test task to complete via provided email
-
You will have 1 week to complete the test task
-
Upon successful completion of the test task, you will be invited for an in-person interview
-
After the interview, you will receive the enrollment decision within 24 hours
APPLY NOW
Please fill in your information
to register for the program