Python for Data Management for Beginners

Pursuing/ completed Graduation/ Diploma in IT or related field 15 Feb, 2026

5,700

Python for Data Management for Beginners
Course Start Date
18 Feb, 2026
Application Dates
1 Jan, 2026 - 15 Feb, 2026
Duration
75 hours
Course Mode
Online
Training Partner
Certification

Course Overview

This course introduces learners to the fundamentals of Python and its role in modern data management. It covers essential programming concepts, data handling techniques, and practical workflows used in real-world analytics. The curriculum is designed for beginners and progresses from basic syntax to working with data structures, files, and libraries like Pandas. By the end of the course, learners will be able to manage, clean, analyze, and organize data efficiently using Python.

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INR 5,700

Investment

to secure your future
1 Course Fee

Rs. 5700/-(Including GST)

 

Skills Covered

  • Learners will build a strong foundation in writing Python programs for day-to-day data tasks.
  • They will develop the ability to organize and manipulate structured datasets using industry-standard libraries.
  • The course helps learners understand how to clean, format, and validate data to prepare it for deeper analysis.
  • Students will gain exposure to automating data workflows through Python scripting.
  • Overall, the course equips beginners to confidently apply Python for real-world data management requirements.

Who is this course for?

Pursuing/ completed Graduation/ Diploma in IT or related field

Training Partners

  • ADDITIONAL SKILL ACQUISITION PROGRAMME KERALA
    ADDITIONAL SKILL ACQUISITION PROGRAMME KERALA

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FAQs

This course is designed for beginners with no prior programming experience who want to start working with Python for data-related tasks.

No prior coding background is required; basic computer literacy is sufficient.

Learners will use Python along with an IDE such as Jupyter Notebook, both of which will be guided during the setup session.

Yes. The course includes file handling, working with CSV/JSON files, and using Pandas for dataset manipulation and cleaning.

You will be prepared to advance to intermediate Python, data analytics, or introductory data science courses.

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