Courses›DATA_SCIENCE_ANALYTICS›Python for Data
Self-Paced · Certificate Course

Python for Data

Enough Python to be dangerous with pandas — and the habits that stop a notebook lying to you.

A spreadsheet cannot repeat itself and SQL cannot reshape, plot or reach an API. Python is what analysts pick up next, and pandas is the reason. This course teaches only as much Python as pandas actually needs — values,…

New📅 Updated August 2026
V
Instructor
Venkat Kurela
KCA Certified Trainer
🌐 English⏱ 13h 47m content📚 18 lessons🏆 Certificate♾ Lifetime📱 All devicesBeginner
Python for Data
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₹99One-time · Lifetime access

🛡 30-day money-back guarantee

This course includes
⏱
13h 47m of written lessons
📖
18 lessons across sections
▶️
2 free preview lessons
⬇️
Downloadable resources
🏆
NASSCOM-aligned certificate
📝
Quizzes & assessments
📱
Access on all devices
NASSCOM AlignedAPSSDC RecognisedCertificate Included

What you'll learn

✓
Write the small amount of Python that pandas actually requires
✓
Explain when Python is the right tool and when SQL or a spreadsheet still wins
✓
Read a CSV without losing leading zeros or misreading dates
✓
Select with loc and iloc, and say which one you meant
✓
Filter with boolean masks and combine conditions correctly
✓
Explain what NaN is, why it makes an integer column float, and what it does to an average
✓
Recognise chained assignment and fix it rather than silencing the warning
✓
Group, join and resample without silently losing or duplicating rows
✓
Plot straight from a DataFrame for a first look
✓
Write a notebook that runs top to bottom on someone else's machine
🛡
NASSCOM FutureSkills Prime Aligned
Aligned with NASSCOM IT-ITeS SSC National Occupational Standards. Contributes to your FutureSkills Prime digital credential profile.
✓ NASSCOM Verified · APSSDC Recognised

Course Curriculum

5 sections · 18 lessons · 13h 47m total

▲
1. Python, Just Enough
4 lessons
📄
Why Python When You Already Have SQL34m
📄
Running Python, and Working in a Notebook37m
🔒
Values, Lists and Dictionaries44m
🔒
Functions, Loops, and When Not to Write One50m
▼
2. The DataFrame
4 lessons
▼
3. Cleaning, in Code
3 lessons
▼
4. Answering Questions
3 lessons
▼
5. Work Someone Can Trust
4 lessons
📝
Quizzes & Exams
5 checkpoint quizzes as you go, plus a final exam of 25 questions. 50 questions in total, included with the course.
✓ Included — available now

Requirements

Data Foundations and SQL for Analysis, or equivalent comfort with tables and grain
No programming experience required — this is the first code the Data track asks for
Python 3.11 or newer, and a notebook. The course shows the one install command
This is a WRITTEN course: lessons are text and code you run, not video
Your Instructor
V
Venkat Kurela
Course Instructor · KCA Expert Trainer
📚 NASSCOM Certified
Course Details
🏷 CategoryDATA_SCIENCE_ANALYTICS
📊 LevelBeginner
🌐 LanguageEnglish
⚡ AccessOne-time purchase
📅 UpdatedAugust 2026
⏱ Duration13h 47m total
📜 Certificate✓ Included
Tags
PythonpandasNotebooksAnalyticsBeginnerWritten Course
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