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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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Your learning path

Choose your Data Engineering starting point

ABC Trainings gives you a practical starting point for data work through its separate Python, SQL, Cloud Computing, Data Science using Python and Power BI courses. Choose the foundation that matches your next task: write a program, query connected tables, prepare a dataset or explain results in a report.

For learners moving from spreadsheets into programming and data work, and for people who already know one part of the workflow and want to build the next. The sequence below connects the published Python, SQL, data-analysis and reporting highlights; you can begin with the skill you need.

Which focus fits your next task?

I want to write programs that handle data

Start here when repetitive file work is your immediate problem and Python is new to you.

Work through syntax, functions, data structures, file input/output and exception handling before organising larger programs with objects and modules.

Published syllabus topics

  • Core syntax, control flow, functions, modules & packages
  • Data structures, file I/O, errors & exceptions, OOP

I need answers from related tables

Choose SQL when your questions involve several tables, grouped totals or rules for matching records.

Build tables and keys, then practise conditions, JOINs and aggregation. Explain which rows each query includes and reconcile its totals with the input.

Published syllabus topics

  • MySQL queries, databases, tables, views and keys
  • Conditions, clauses and JOINs
  • Triggers and aggregation functions

I want to analyse and present a dataset

Focus here when you can read the data but need to prepare it, explore patterns and communicate a result.

Use Pandas preparation and exploration for the analysis, then Power BI modelling and relationships for a report that connects the relevant sources.

Published syllabus topics

  • NumPy & Pandas — arrays, DataFrames, groupby, merge, pivot, data wrangling
  • Data modelling and relationships
  • Power BI Service and multi-source data connections

A suggested learning sequence

  1. Handle a file with Python

    Read records, use functions to transform them and handle invalid input.

    Check your understanding: Explain the input, transformed output and error cases.

  2. Connect and query tables with SQL

    Define the keys, combine related records and group the result.

    Check your understanding: Reconcile the row counts and totals before using the query elsewhere.

  3. Prepare and explore with Pandas

    Use merge, groupby and pivot operations, then inspect the result with a suitable chart.

    Check your understanding: Describe each preparation step and what the chart does and does not show.

  4. Build a related-table report

    Use the Power BI modelling and multi-source connection topics to explain a business question.

    Check your understanding: Trace a report total back through its relationship and source table.

Practice exercises with a checkable output

These suggested learning examples use the published syllabus topics. Use fictional or sample data to practise and explain your work.

Build, check and explain

A small CSV preparation routine

Using made-up order records, write Python functions that read a file, separate invalid rows and produce a clean output.

Practice output: Input and output CSVs, a Python script and a short list of handled error cases.

Syllabus connection

  • Data structures, file I/O, errors & exceptions, OOP

Build, check and explain

A query with totals you can reconcile

Create sample order and product tables. Join them, group totals by product and compare the result with a hand-checked small example.

Practice output: Table definitions, JOIN and aggregation queries, and a reconciliation note.

Syllabus connection

  • Conditions, clauses and JOINs
  • Triggers and aggregation functions

Build, check and explain

From exploration to a report

Prepare a sample dataset with Pandas and explain a pattern with a chart. Use related tables to present a matching summary in Power BI.

Practice output: An exploratory notebook, a relationship diagram and a report with a short explanation of its source data.

Syllabus connection

  • NumPy & Pandas — arrays, DataFrames, groupby, merge, pivot, data wrangling
  • Data modelling and relationships

Watch on ABC Trainings

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.

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

Visit the ABC Trainings YouTube channel

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

19 exact approved reviews across recorded ABC centres.

Inspect exact verdict

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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Plan your course

Catalogue courses, fees and study time

These are separate official courses documented in this learning pathway. Compare each course’s hours and fee; each one is priced and timed on its own, separate from the complete programme.

Delivery centres for individual catalogue courses

Individual catalogue courses run at these ABC centres. Pick your course and visit the nearest centre for a free demo.

Course hours are instructional hours, not calendar months. Individual course fees are catalogue starting prices excluding GST; programme fees include GST. Fees reviewed ; course records reviewed .

Get the exact fee for your course, centre and mode