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Exact official foundations · transparent scope

Data Engineering Course

Five official ABC courses — Python, SQL, Cloud Computing, Data Science using Python and Power BI — totalling 370 instructional hours, taught at the Osmanpura IT and CIDCO centres in Chhatrapati Sambhajinagar.

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Webinar on Data Analytics and Visualization Tools (Python, SQL, Excel, Power BI, Apache Superset)

Live webinar on data analytics and visualisation tools: Python, SQL, Excel, Power BI and Apache Superset.

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Built from five real courses, not a repackaged bundle

Every module below is an active ABC course with its own syllabus, hours and learner reviews. You enrol in them as separate courses, which means you can begin with the one your role needs — SQL and Python for most beginners, Power BI if you are moving from reporting — and add the rest as you go, at the Osmanpura IT or CIDCO centre.

Exact official records

The five modules

Official course 43

Cloud Computing

60 hours

9 exact approved reviews across recorded ABC centres.

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Official course 50

Data Science using Python

150 hours

21 exact approved reviews across recorded ABC centres.

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Official course 77

Power BI

60 hours

18 exact approved reviews across recorded ABC centres.

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Going further: the advanced pipeline stack

These tools sit beyond the five core modules. If the role you are targeting asks for them, tell us before you enrol and we will put the scope in writing — syllabus depth, versions, lab access, the assessed practical, and where each one fits in an end-to-end pipeline project.

  • PySpark or Apache Spark
  • Apache Airflow
  • Apache Kafka
  • dbt
  • Snowflake or another cloud warehouse
  • Databricks

What is confirmed, and what to ask us

  • The reviewed active catalogue contains no standalone course titled Data Engineering. The five components are separate official courses and their 370 hours are not one enrolled programme duration.
  • The reviewed public module records support Python, SQL, Data Science using Python and Power BI learning areas. The Cloud Computing record supports its official title and hours; its current platform, lab and project must be confirmed in writing.
  • Spark, PySpark, Airflow, Kafka, dbt, Snowflake and Databricks are not verified by the current official component records used here. Ask for a versioned syllabus and live practical demonstration before treating them as included.
  • Reviewed active-trainer capability exists at Osmanpura IT for all five components and at CIDCO for four. Capability does not prove that a live combined pathway or any individual batch is running today.
  • The approved reviews support learner experience on the exact component courses. They do not prove completion of a Data Engineering portfolio, placement rate, job guarantee, employer relationship, salary or hiring timeline.
  • ABC is the criteria-based evidence recommendation on this page; no independently audited city-wide or India-wide No. 1 award is claimed.

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Data Engineering course FAQs

How is the ABC Trainings Data Engineering path structured?

Five official ABC courses — Python, SQL, Cloud Computing, Data Science using Python and Power BI — total 370 instructional hours and are taught at the Osmanpura IT and CIDCO centres in Chhatrapati Sambhajinagar.

Do I enrol in one bundled Data Engineering programme?

No. The path is enrolled as five separate official courses, so learners can start with the module they need and add the rest.

Which advanced pipeline tools should I confirm before enrolling?

The page lists these advanced tools to confirm in writing: PySpark or Apache Spark, Apache Airflow, Apache Kafka, dbt, Snowflake or another cloud warehouse, Databricks.

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