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AI & Development

Python Programming & Data

From first script to data analysis and automation

50% OFF
4.8(176)
Rs 15,000Rs 30,000

You save Rs 15,000 · code AZADI50

Offer ends in

07Days
07Hours
23Minutes
04Seconds
  • Verified certificate
  • Internship eligibility
  • Job & freelance assistance
  • Instalment plans available
  • Duration4 Months
  • LevelBeginner to Intermediate
  • Modules6 modules · 24 topics
  • ModeOn-Campus · Live Online
  • LanguageUrdu + English
  • Enrolled980 students
Python Programming & Data — Globify Tech Institute Faisalabad

About this course

Python is the most practical first language in 2026: it runs data analysis, automation, AI tooling and backend services, and it reads almost like English.

This four-month course takes complete beginners through the language itself, then into the two areas where Python creates income fastest — automating boring work and analysing data.

You will finish with automation scripts that save real hours, a data-analysis notebook with genuine insight, and the foundation needed for machine-learning study.

What you will be able to do

  • Write clean, readable Python that solves real business problems
  • Automate Excel, PDF, email and file-system tasks end to end
  • Scrape, clean and analyse data from public sources responsibly
  • Produce charts and reports stakeholders can actually act on
  • Build and deploy a small Flask API

Curriculum

6 modules · 24 topics · 6 hrs/week

  1. 01

    Python Fundamentals

    • Installation, environments and the REPL
    • Variables, types, operators and control flow
    • Lists, dictionaries, sets and tuples
    • Functions, arguments and scope
  2. 02

    Structured Programming

    • Modules, packages and pip
    • Error handling and debugging
    • Object-oriented programming: classes and inheritance
    • Writing readable, documented code
  3. 03

    Automation with Python

    • Reading and writing files, CSV and JSON
    • Excel automation with openpyxl
    • PDF generation and manipulation
    • Scheduling scripts and sending automated email
  4. 04

    Web Scraping & APIs

    • HTTP, requests and response handling
    • Parsing HTML with BeautifulSoup
    • Working with public REST APIs and authentication
    • Ethics, robots.txt and rate limiting
  5. 05

    Data Analysis

    • NumPy arrays and vectorised thinking
    • Pandas DataFrames: load, clean, reshape
    • Grouping, merging and time series
    • Matplotlib and Seaborn visualisation
  6. 06

    Build & Deploy

    • Flask routes, templates and JSON APIs
    • Connecting a database with SQLite
    • Packaging and deployment basics
    • Capstone: automation tool + analysis dashboard

Projects you will build

Every one of these goes into your portfolio with your name on it.

  • Project 1

    Excel report generator that runs on a schedule

  • Project 2

    Price-tracking web scraper with email alerts

  • Project 3

    Sales data analysis notebook with visualisations

  • Project 4

    Flask API serving a small database

Where this leads

Typical roles and market rates for graduates of this track in Pakistan.

Career roles and typical earnings after completing Python Programming & Data
RoleTypical earnings
Python DeveloperRs 90k – 220k / month
Data AnalystRs 100k – 260k / month
Automation EngineerRs 110k – 250k / month
Python Freelancer$15 – $45 / hour

Ranges reflect market observations from our graduate tracking and hiring-partner network. They are indicative, not a guarantee.

Enrol in this course

Secure your seat at Rs 15,000

Fill this in and our admissions team will confirm your batch, timing and the 50% Azadi discount within one working day.

Include your education, work status and preferred batch timing if you can.

We reply within one working day. Your details are never sold or shared.

Course FAQs

Questions about Python

Asked most often by students considering this specific programme.

For automation, data and AI work, Python is the faster path. For websites and web applications, JavaScript is essential. Many of our students take Python first because the syntax is gentler, then add web development.

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