D24
Foundation CourseData & AIBeginner3 weeks
Pandas
Pandas is a beginner course on Python's data-analysis library built around the DataFrame. Over 3 weeks, learners create and inspect DataFrames, filter and clean values, and group and export summaries, then progress to handling missing data, GroupBy, merging datasets, time series, and pivot tables — suited to anyone new to Pandas.
Create and inspect a DataFrame. Filter and clean values. Group and export a summary.
What you'll learn
Create and inspect a DataFrame.
Filter and clean values.
Group and export a summary.
Course details
Duration
3 weeks
Best for
Anyone new to Pandas
This course is free
Course Curriculum
A module-by-module breakdown of what you'll cover in Pandas.
01Basic
4 topicsWeek 1
- What is Pandas, and what is a DataFrame?
- Loading data and basic inspection
- Selecting and filtering data
- Project: Load, inspect, and filter a real dataset
02Intermediate
4 topicsWeek 2
- Handling missing data in Pandas
- GroupBy: summarizing data by category
- Merging and joining DataFrames
- Project: Merge, clean, and summarize two related datasets
03Advanced
3 topicsWeek 2
- Convert dirty numbers explicitly
- Assign with explicit row and column selection
- Audit joins and grouped summaries
04Pro
4 topicsWeek 3
- Time series basics: working with dates in Pandas
- Performance: vectorized operations vs. apply() and itertuples()
- Pivot tables and reshaping data
- Project: Build a performance-aware time series sales report
05AI Pro
3 topicsWeek 3
- Using AI tools (ChatGPT, Claude, Perplexity) to write and debug Pandas code faster
- Verifying AI-generated Pandas code against real data
- Project: Use AI to build a merged report, then verify row counts and totals
Tools & Technologies
Hands-on practice with the same tools used by working professionals.
PdPandas
NpNumPy
Python
ChaChatGPT
ClaClaude
PerPerplexity
Communication & Soft Skills
Built into every course, alongside the technical curriculum.
Communication Skills
Practice explaining technical work clearly to teammates, managers, and clients.
Practical AI Skills
Hands-on training in using AI tools well — prompting, everyday workflows, and where AI actually helps versus where it doesn't.
Teamwork & Collaboration
Work in small project teams using real workflows like stand-ups and code reviews.
Problem Solving
Build the habit of breaking down ambiguous problems into clear, solvable steps.
Time Management
Learn to plan, prioritize, and deliver project work against realistic deadlines.
Presentation Skills
Present your project work and results with confidence, as you would to a client.
Resume & Profile Building
Build a strong resume, LinkedIn profile, and project portfolio that recruiters notice.
Interview Preparation
Mock interviews and portfolio reviews to get you ready for real job applications.
Career & Placement Support
100% of students enrolled in Pandas get full access to placement support — real tools and guidance, not just a promise. This is support and access, not a guaranteed job outcome.
Resume Builder
A resume auto-built from your real completed projects and certificates, ready to export.
Shareable Portfolio
A public portfolio page showcasing your approved projects, with a link you can share with employers.
Interview Preparation
Guidance on presenting your projects and experience clearly in real interviews.
Peer & Mentor Community
Ongoing access to our learner community for questions, feedback, and support after you finish.
What Your Certificates Look Like
Real, verifiable certificates with your name, Pandas, and a QR code anyone can scan to confirm they're genuine — one for completing the course, and a separate one if you take the internship track.
Course Completion Certificate
SAMPLE
Data24ZoneCertificate of Completion · Free Course
Illustrative recipient
Your Name Here
Example certificate for completion of
Pandas
- Certificate No.
- D24-SAMPLE
- Mode
- Self-Paced
- Duration
- 3 weeks
- Example issue date
- On completion
Sample only — not a real, issued certificate.
Verification is available only on issued certificates.
Internship Completion Certificate
SAMPLE
Data24ZoneCertificate of Internship
Illustrative recipient
Your Name Here
Example certificate for completion of
Pandas
- Certificate No.
- D24-SAMPLE
- Mode
- Internship
- Duration
- 3 weeks
- Example issue date
- On completion
Sample only — not a real, issued certificate.
Verification is available only on issued certificates.
Frequently Asked Questions
What will I learn in the Pandas course?
You'll learn: Create and inspect a DataFrame.; Filter and clean values.; Group and export a summary..
What tools and technologies does the Pandas course cover?
This course covers: Pandas, NumPy, Python, ChatGPT, Claude, Perplexity.
Is the Pandas course beginner-friendly?
Yes — this is a beginner-level course.
How long does the Pandas course take to complete?
The course is designed to be completed in approximately 3 weeks, depending on your pace.
What enrollment options are available for Pandas?
Internship (₹2,499) — Work through real projects with our team and earn an internship certificate (course certificate not included). Self-Paced (₹1,999) — Learn anytime with the full recorded curriculum and community access.
Is there an internship option for Pandas?
Yes — the Internship track means working through real projects with our team and earning a separate Internship Certificate.
Will I get a certificate after completing Pandas?
Yes. Self-paced enrollment earns a course completion certificate once your final project is reviewed and approved. Internship enrollment earns an internship certificate once your internship projects are approved. Every certificate is publicly verifiable on our website and can be added directly to your LinkedIn profile.
Is placement support included with Pandas?
Yes — every enrolled student gets full access to our placement support: resume building, a shareable project portfolio, mock interview preparation, and guidance applying what you've built to real job applications. This is support and access, not a guaranteed job outcome — how quickly it leads to an offer depends on the market and your own effort.
