Python for Data Engineering & Analysis
Python, pandas and automation for cleaning, transforming and moving data reliably.
- ✓ Instructor-led live sessions, online or in Bengaluru
- ✓ Hands-on labs in every module
- ✓ Capstone project with trainer review
- ✓ Curriculum customisable for corporate teams
- ✓ Certificate of completion
Next batch: Sat, 09 Jan 2027 · 32 hours · 4 days
Analytics & BIPython for Data Engineering & Analysis
Duration: 32 hours · 4 days
Next batch: Sat, 09 Jan 2027
Format: Online live · Bengaluru classroom
Modules: 9 · Topics: 42
Level: Beginner to Intermediate
Fee: ₹14,999
Trusted by leading experts
Upcoming batches
Open batches for individuals; corporate batches on your dates.
| Programme | Starts | Mode | Schedule | Duration | |
|---|---|---|---|---|---|
| Python for Data Engineering & Analysis | Sat, 09 Jan 2027 | Online live | Weekend (Sat) | 5 Saturdays | Enquire |
| Python for Data Engineering & Analysis | Mon, 08 Mar 2027 | Online live | Weekday | 4 days | Enquire |
Soaring demand, and where it takes you
Python is the most common programming language in data roles, and automation skills save teams significant time.
Become an expert
Roles this programme prepares you for:
Become a Data Analyst (Python)
Automates analysis and reporting.
- Write clean Python with functions and modules
- Clean and transform data with pandas
- Read and write CSV, Excel, JSON and Parquet
About the course
Python for data work: core language skills, pandas for cleaning and transforming data, working with files, APIs and databases, automation and writing clean, testable scripts.
Python, pandas and automation for cleaning, transforming and moving data reliably.
Why should I attend?
Analysts moving beyond Excel
Data engineers new to Python
Testers and support engineers
Graduates in induction programmes
Prerequisites
Basic programming awareness; no Python experience needed
Level
Beginner to Intermediate
Delivery modes, duration and fee
Online live
Instructor-led virtual classroom; weekday (full-day) or weekend (Saturday) batches
Bengaluru classroom
In-person batches at our Bengaluru training venue
On-site at your office
Private corporate batch anywhere in India, scheduled around your teams
Blended
Live sessions plus guided self-paced labs and mentor check-ins
Duration: 32 hours · 4 days
Course fee (open batch): ₹14,999
Corporate / team batches: per-participant or flat batch pricing on request, based on group size, format and customisation.
What will you learn
- Write clean Python with functions and modules
- Clean and transform data with pandas
- Read and write CSV, Excel, JSON and Parquet
- Call APIs and query databases from Python
- Automate recurring data tasks
- Test and package scripts
Skills you will gain
Python core
Data handling
Engineering habits
Tools and platforms covered
Python
pandas
NumPy
Jupyter
PostgreSQL
GitCourse curriculum
M01 Python essentials
- Types and data structures
- Control flow
- Functions
- Comprehensions
- Error handling
🧪 Hands-on: Write utility functions
M02 pandas
- DataFrames
- Filtering and grouping
- Joins and reshaping
- Missing data
- Time series
🧪 Hands-on: Clean a real dataset
M03 Files and formats
- CSV and Excel
- JSON
- Parquet
- Large files and chunking
- Compression
🧪 Hands-on: Convert and validate files
M04 APIs and databases
- Requests
- SQL from Python
- Error handling
- Pagination and rate limits
- SQLAlchemy
🧪 Hands-on: Ingest an API into a database
M05 Automation
- Scheduling scripts
- Logging
- Configuration
- CLI arguments
- Notifications
🧪 Hands-on: Automate a report
M06 Quality
- Virtual environments
- Tests with pytest
- Packaging
- Type hints
- Code formatting and linting
🧪 Hands-on: Test and package the script
M07 Visualisation
- Matplotlib
- Seaborn
- Plotly basics
- Chart choice
🧪 Hands-on: Build a visual summary of a business dataset
M08 Data cleaning in depth
- Text cleaning
- Validation with schemas
- Deduplication
- Outliers
🧪 Hands-on: Clean a messy real-world dataset
M09 Capstone: automated data job
- Requirements
- Build
- Test
- Schedule
🧪 Hands-on: Deliver a tested, scheduled API-to-database job
Hands-on projects
Automated data report
A tested script that pulls, cleans and summarises data on a schedule.
Why train with us
Built around your stack
Labs and examples adapted to the tools, cloud and data your team actually uses.
Practice-first
Every module ends in a lab, and the course ends with a reviewed capstone.
Practitioner-led
Delivered by Karthick Selvam and vetted specialist trainers from our network.
Visible progress
Attendance, lab completion and assessment results shared with your L&D team.
Certificate of completion
Participants who complete the labs and capstone receive a Learning Dots certificate of completion for Python for Data Engineering & Analysis. [confirm certificate wording / sample image]
Learner reviews
“[Verified learner review for this course]”
“[Verified learner review for this course]”
Meet your trainer
Karthick Selvam
Founder · Data Engineering Corporate Trainer, Bengaluru
[Trainer bio, experience and areas of expertise]
Frequently asked questions
Is it for complete beginners?
Yes; no prior programming is required.
Can the curriculum be customised for our team?
Yes. Modules, depth, duration and labs can be tailored to your stack and goals.
What delivery formats are available?
Online live instructor-led sessions, Bengaluru classroom, or on-site at your office.
How do we enquire or book?
Use the enquiry form on this page or the Enquire button next to any batch.
What does it cost?
The open-batch fee is ₹14,999 per participant plus GST. Corporate batches are priced on group size, format and customisation.
How long is the course?
32 hours · 4 days. Corporate batches can be split into half-day sessions.
A closer look
About this course
Python for data work: core language skills, pandas for cleaning and transforming data, working with files, APIs and databases, automation and writing clean, testable scripts.
What is Python for Data Engineering & Analysis?
Python, pandas and automation for cleaning, transforming and moving data reliably.
Who this course is for
Analysts moving beyond Excel, Data engineers new to Python, Testers and support engineers, Graduates in induction programmes.
What you will be able to do
Write clean Python with functions and modules. Clean and transform data with pandas. Read and write CSV, Excel, JSON and Parquet. Call APIs and query databases from Python. Automate recurring data tasks. Test and package scripts.
Career paths
Roles this course supports include Data Analyst (Python), Junior Data Engineer, Automation Specialist. Python is the most common programming language in data roles, and automation skills save teams significant time.
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