What is this course about?
Use Python to turn a table of data into a clearer answer. Practise NumPy calculations, pandas cleaning and grouping, and Matplotlib charts while explaining what the data does and does not show.
Work with NumPy, pandas and Matplotlib to explore, clean and communicate real datasets.
Where you can use the skills
- A sales-summary notebook.
- A cleaned student or survey dataset.
- A chart-based exploratory report.
These are application ideas for your learning and portfolio. The published curriculum below shows the actual lessons and projects.
What you will work towards
Work with arrays and tabular data.
Clean missing or inconsistent values.
Summarise data with grouping and calculations.
Communicate findings with understandable charts.
Who is this course for?
- Students who know basic Python.
- Office or business learners interested in data tasks.
- Learners preparing for deeper analytics studies.
Before you start
Python variables, loops, functions and collections. Basic arithmetic and willingness to check results are important.
Your course curriculum.
8 topics · 50 practice exercises and 3 projects available per topic.
01Data science workflow
This topic includes a written lesson, 50 individually titled exercises with different tasks, plus three project briefs with starter and reference code.
02NumPy arrays
This topic includes a written lesson, 50 individually titled exercises with different tasks, plus three project briefs with starter and reference code.
03NumPy operations
This topic includes a written lesson, 50 individually titled exercises with different tasks, plus three project briefs with starter and reference code.
04pandas Series & DataFrames
This topic includes a written lesson, 50 individually titled exercises with different tasks, plus three project briefs with starter and reference code.
05Cleaning & missing data
This topic includes a written lesson, 50 individually titled exercises with different tasks, plus three project briefs with starter and reference code.
06Grouping & merging
This topic includes a written lesson, 50 individually titled exercises with different tasks, plus three project briefs with starter and reference code.
07Matplotlib visualisation
This topic includes a written lesson, 50 individually titled exercises with different tasks, plus three project briefs with starter and reference code.
08Exploratory data project
This topic includes a written lesson, 50 individually titled exercises with different tasks, plus three project briefs with starter and reference code.
Scope in Pakistan, the Gulf and abroad
Use these directions to plan your next steps. They are learning and portfolio suggestions, not a list of current vacancies or a guarantee of employment.
Pakistan
Practice with fictional sales, attendance or service datasets. Show a clear question, cleaning decisions and a readable explanation rather than only a chart.
Gulf countries
Explore reporting, analytics and data-support directions in regional organisations. Real roles may require SQL, business knowledge, statistics and other tools beyond this course.
Other countries & remote work
This can be a foundation for broader analytics or data-science studies. Professional data-science roles need substantially more statistical, domain and project experience.
Data Scientists — United States
A broader occupation to research as you build experience. These figures describe U.S. employees across experience levels, not earnings after this course.
| 10th percentile | Median | 90th percentile |
|---|---|---|
| $32.33/hr | $57.80/hr | $95.74/hr |
Percentiles show points in a wage distribution; they are not minimum or maximum offers. This is not beginner pay or a freelance quote. Pakistan and Gulf offers depend on the actual role, experience and package; no universal local USD/hour rate is claimed.
View the original occupation wage table ↗Source checked 2 November 2026.For current Gulf-market research, see the Hays GCC Salary Guide 2026. Confirm the specific employer’s duties, required experience and entry conditions before relying on an offer.
Frequently asked questions
Do I need Python Level 1 first?
You should be comfortable with Python basics. If loops, functions and collections are new, begin with Level 1.
Does this make me a fully qualified data scientist?
No. It provides NumPy, pandas and Matplotlib foundations. Professional data-science work requires further study and experience.
Which learning modes can I request?
Self-study, tutor support, onsite classes near GPO in Sadar, Rawalpindi Cantt, and online classes via Google Meet. Admin confirms available guided class slots before payment.
What is the course fee?
PKR 24,000 is the listed total course fee. Confirm the agreed fee, duration, learning mode and schedule with Cody.pk before paying.
What can I see before enrolling?
The course description, curriculum outline, fees and public guides are available to browse. The editor, exercises and study materials require the relevant active enrollment, including any free place assigned by admin.
How do I apply and get access?
Apply with this course selected, your name, email and WhatsApp number. Choose your mode and, where required, an available class slot. Submit payment details through checkout. Access opens after admin verifies the payment and activates the enrollment.
Can I download study materials?
The student workspace shows materials for your enrolled course. Course-bundle downloads are available when admin enables download permission for your enrollment.
Are the international hourly figures a job or income promise?
No. They are 2025 U.S. employee occupation statistics, covering different experience levels. They are not beginner pay, freelance billing rates, Pakistan or Gulf offers, or a prediction of income after this course.
Course conversation
Questions and learning experiences about Python · Level 2: Data Science.
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Choose your pace. Make a start.
Request self-study, tutor support, onsite classes or online Google Meet classes. Guided modes use admin-managed class slots. Confirm your agreed fee and schedule before payment.
- ApplySend your name, email, WhatsApp and learning goals.
- Confirm the planAgree your mode, available slot and fee with Cody.pk.
- Pay & startPayment verification and activation open the enrolled course.
Manual Easypaisa: Rashid Irshad · 03145366708. Raast ID: 03145366708. Use the course checkout to confirm the amount and submit your payment reference for verification.
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