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Key Highlights

  • Real-world automation-driven use cases with Python
  • Dual-language delivery (English + Hindi) to support learners from all backgrounds
  • Live trainer-led sessions with structured labs and project support
  • Developed in alignment with NASSCOM FutureSkills and industry demand
  • Focused on data scripting, workflow automation, and analytics prototyping

About Program

Course Curriculum

Modules designed to meet current industry standards.

01

Python Basics, Data Types, Flow Control, Functions, Error Handling

02

File I/O, CSV/Excel Automation, OS/Time/Date Operations

03

NumPy, Pandas, Visualization, Data Automation

04

Web Scraping, API Automation, JSON/XML Integration

05

Mini Project & Capstone – Automate Reporting or Data Collection Task

What You’ll Learn

Essential Skills & Tools for Leading Projects in the Digital Age

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Executive Certification in Network Security & Ethical Hacking
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Executive Certification in Network Security & Ethical Hacking
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Need to know more?

Get to know the course in depth by downloading the course brochure
Download Brochure

Real People. Real Results​

Real stories of career growth, skill mastery, and success after MSM Grad programs.

30% Salary Hike

Ritika P.

Manufacturing Operations Analyst

I spent the majority of the day updating Excel trackers and cleaning CSV files. I was able to replace that with a Python script that combines vendor files, verifies columns, and sends out a summary via a scheduler each morning thanks to the Jupyter labs and detailed exercises. It’s not fancy, but it reduces manual errors and saves 6 to 8 hours per week. Clear functions, logging, and edge cases were the main topics of the trainer’s feedback—habits I still employ.

40% Salary Hike

Aman G.

Marketing Operations Lead (D2C)

I joined in order to stop campaign numbers from being copied and pasted.” I now pull platform metrics with requests, clean them up in Pandas, and automatically publish a daily report because the API and JSON modules worked for me. The script uses a straightforward scheduler, and the Matplotlib graphics are straightforward. Small victories were prioritized in the course, followed by a capstone project that brought everything together. I can automate the tasks that were previously slowing us down, but I’m not a “data scientist.
25% Salary Hike

Shreya N.

B.Com. final-year student (Automation Track)

The dual-language delivery helped ease my programming anxiety; I followed the Hindi sessions when the topics became complex.” By the middle of the course, I had a functional tool that flags discrepancies from Excel exports and reconciles invoices. I was forced by the capstone to gracefully handle common errors and document the steps on GitHub. I was able to demonstrate a straightforward, dependable script rather than merely discussing one, which helped me land an internship as a “automation executive.

25% Salary Hike

Meera K.

Fresh CS Graduate → Junior Python/Automation

The applied focus—file handling → APIs → Pandas → a small ML baseline—was what I found most appealing. I used an API to gather open data for my capstone, cleaned it, created a weekly report, and set it up to run with logs and notifications. I can explain every component and make it better, but it’s not enterprise-grade. I gained credibility from the NASSCOM-aligned curriculum, and I used my GitHub portfolio as a talking point during interviews.

Real People. Real Results​

Real stories of career growth, skill mastery, and success after MSM Grad programs.

30% Salary Hike

Ritika P.

Manufacturing Operations Analyst

I spent the majority of the day updating Excel trackers and cleaning CSV files. I was able to replace that with a Python script that combines vendor files, verifies columns, and sends out a summary via a scheduler each morning thanks to the Jupyter labs and detailed exercises. It’s not fancy, but it reduces manual errors and saves 6 to 8 hours per week. Clear functions, logging, and edge cases were the main topics of the trainer’s feedback—habits I still employ.

40% Salary Hike

Aman G.

Marketing Operations Lead (D2C)

I joined in order to stop campaign numbers from being copied and pasted.” I now pull platform metrics with requests, clean them up in Pandas, and automatically publish a daily report because the API and JSON modules worked for me. The script uses a straightforward scheduler, and the Matplotlib graphics are straightforward. Small victories were prioritized in the course, followed by a capstone project that brought everything together. I can automate the tasks that were previously slowing us down, but I’m not a “data scientist.
25% Salary Hike

Shreya N.

B.Com. final-year student (Automation Track)

The dual-language delivery helped ease my programming anxiety; I followed the Hindi sessions when the topics became complex.” By the middle of the course, I had a functional tool that flags discrepancies from Excel exports and reconciles invoices. I was forced by the capstone to gracefully handle common errors and document the steps on GitHub. I was able to demonstrate a straightforward, dependable script rather than merely discussing one, which helped me land an internship as a “automation executive.

25% Salary Hike

Meera K.

Fresh CS Graduate → Junior Python/Automation

The applied focus—file handling → APIs → Pandas → a small ML baseline—was what I found most appealing. I used an API to gather open data for my capstone, cleaned it, created a weekly report, and set it up to run with logs and notifications. I can explain every component and make it better, but it’s not enterprise-grade. I gained credibility from the NASSCOM-aligned curriculum, and I used my GitHub portfolio as a talking point during interviews.

Designed for Ambitious Professionals

Roles Offered
  • Python Developer (Automation Focus)
  • Data Analyst (Python Scripting)
  • Automation Executive / Workflow Engineer
  • Data Science Intern (Beginner Level)
  • MIS/Data Operator (Python-based)
Salary Growth Potential
30- 60% Average Hike
Post Course Completion
Top Salary Bracket

₹4–8 LPA (for freshers & early career professionals)

₹10–14 LPA (with additional automation/analytics certifications)

Top Hiring Companies

Designed for Ambitious Professionals

Roles Offered
  • Python Developer (Automation Focus)
  • Data Analyst (Python Scripting)
  • Automation Executive / Workflow Engineer
  • Data Science Intern (Beginner Level)
  • MIS/Data Operator (Python-based)
Salary Growth Potential
30- 60% Average Hike
Post Course Completion
Top Salary Bracket

₹4–8 LPA (for freshers & early career professionals)

₹10–14 LPA (with additional automation/analytics certifications)

Top Hiring Companies

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