Dama Mongolia Chapter
Courses · Engineering
Enrollment openIn person3 months16 seats

Three-month Data Engineer professional program

In three months, build hands-on beginner-to-intermediate skills in data pipelines, warehouses and the cloud.

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Foundation tools
SQL
DataGrip
Python
Jupyter Notebook
Terminal
VS Code
Data stack
Airbyte
dbt Core
ClickHouse
Power BI
Principles & practices
ETL/ELT
Cloud
DataOps
Start date
15MarchMondayin 143 days
Enrollment open

Register by March 15

Monday, Wednesday · 18:00–20:30
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At a glance
FormatIn personSoyombo Tower, 11th floor, Sukhbaatar district
Structure9 modules + project3 months, 24 sessions, 2.5 hours each
Class size16 peopleLimited, so register early
On completionOfficial certificateRecommended to leading organizations
  • Build data pipelines end to end: ingest, process, store, deliver
  • Data warehouses, star schemas and data quality checks
  • Mini project in a production-like environment
  • Official certificate, and recommendation to leading organizations in Mongolia
Payment & registration

Secure your seat

Pay 20% of the fee (MNT 960,000) to confirm your registration. The remaining MNT 3,840,000 can be paid in parts before the course starts.

15March
Data EngineerMarch 15 start · In person · Mo, We · 18:00–20:30
Total course feeMNT 4,800,000
Pay nowSeat deposit · 20%MNT 960,000
RemainingSplit into 4 payments over 60 days with the Simple appMNT 3,840,000
Khan Bank · Mongolian Data Management Association5041829830
  1. 1. Details
  2. 2. Payment
  3. 3. Confirmed

Register for the course

Fill in your details to secure your seat.

Cohort3-р элсэлт · starts March 15
Payment method
Pay nowMNT 960,000

By paying you agree to our terms of service.

Secure payment · QPay

Tools

What you'll learn

Learn the core tools of the modern data stack on real cases.

SQL
  • Process and optimize data with SQL
  • Model data warehouses and data marts
DataGrip
  • Work with databases, write and tune SQL queries
Python
  • Write transformation and automation scripts
  • Ingest data from APIs, files and databases
Jupyter Notebook
  • Explore data and prototype in Python
Terminal
  • Run scripts and pipelines from the command line
VS Code
  • The code editor for Python, SQL and dbt projects
Airbyte
  • Connectors to ingest data from many sources
dbt Core
  • Build and test modular SQL transformations
ClickHouse
  • A fast column-oriented database for analytics
Power BI
  • Prepare analytics-ready datasets for BI tools
  • Build dashboards on top of the processed data mart
ETL/ELT
  • Design, build and automate ETL/ELT
  • Batch and near-real-time pipelines
Cloud
  • Run pipelines in the cloud
  • Storage, compute and warehouse services
DataOps
  • Data quality and validation
  • Troubleshooting, logs and performance