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Pandas
Kaggle
Kaggle

Pandas

Solve short hands-on challenges to perfect data manipulation skills with Pandas — essential for ML work.
free
beginner

4 hrs

course

About this course

Pandas is the foundation for any data scientist or analyst working with real-world datasets. This hands-on Kaggle course teaches you to manipulate, clean, and transform data efficiently — skills that are absolutely essential before you even touch machine learning algorithms. You'll work through short, practical challenges that build muscle memory, making data wrangling feel natural and fast.

What you'll learn

  • Create and inspect DataFrames and Series from various data sources
  • Filter, sort, and select subsets of data using indexing and boolean conditions
  • Perform aggregations and grouping operations to summarize data
  • Handle missing values and clean messy, real-world datasets
  • Merge, join, and combine multiple datasets
  • Apply functions across rows and columns for data transformation
  • Export cleaned data in standard formats for downstream analysis

Who this is for

If you're starting a journey in data science, machine learning, or analytics, this course is your launchpad. You'll gain confidence working with data before moving to more advanced techniques.

  • College students and fresh graduates — master a skill that recruiters actively hire for in analytics and ML roles
  • Career changers and self-learners — build a concrete foundation in data manipulation without expensive bootcamps or prerequisites

Prerequisites

None — beginner-friendly. Basic Python knowledge (variables, loops, functions) is helpful but not required.

Why this matters for Indian learners

Data skills are in high demand across Indian tech hubs. Companies like Amazon, Google, Flipkart, and growing startups in analytics, fintech, and e-commerce rely on engineers and analysts who can wrangle data quickly. Pandas is often the first tool you'll touch in job interviews and real projects — learning it well puts you ahead of candidates who skip the fundamentals. In a competitive job market, this 4-hour investment pays dividends.

Frequently asked questions

Is this course really free?

Yes, completely free. No hidden charges, no freemium upsell. Kaggle Learn courses are free to everyone.

How long will it take to complete?

About 4 hours of active learning. You can spread it across 2–3 weeks, doing one lesson per week, or power through in a weekend. Pace depends on how much you pause to experiment and tinker with the code.

Will I get a certificate?

Yes. Kaggle provides a completion certificate once you finish all lessons and exercises. You can download and share it on LinkedIn.

At a glance

Provider
Kaggle
Level
Beginner
Duration
4 hrs
Format
Self-paced
Language
En
Certificate
True
Price
free (0 )

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