Certified Pandas Professional

How It Works

  1. 1. Select Certification & Register
  2. 2. Receive a.) Online e Learning Access (LMS)    b.) Hard copy - study material
  3. 3. Take exam at chosen Date and Venue
  4. 4. Get certified & Increase Employability

Test Details

  • Duration: 60 minutes
  • No. of questions: 50
  • Maximum marks: 50, Passing marks: 25 (50%).
  • There is NO negative marking in this module.
  • 70 exam centres in India.

Benefits of Certification

Deliverables

e-learningHard CopyPractice Test
Rs.3,499 /-
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Pandas is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series.


Why should one take Pandas Professional Certification?

This Course is intended for professionals and graduates wanting to excel in their chosen areas. It is also well suited for those who are already working and would like to take certification for further career progression.

Earning Vskills Pandas Professional Certification can help candidate differentiate in today's competitive job market, broaden their employment opportunities by displaying their advanced skills, and result in higher earning potential.

Who will benefit from taking Pandas Professional Certification?

Job seekers looking to find employment in IT or data science departments of various companies, students generally wanting to improve their skill set and make their CV stronger and existing employees looking for a better role can prove their employers the value of their skills through this certification. 


Apply for Pandas Professional Certification

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TABLE OF CONTENT


Pandas Basics

  • Package overview
  • Essential functionality
  • Data structures
  • Comparison with other tools

Pandas IO tools (text, CSV, HDF5, …)

Pandas Indexing and Selecting Data

Pandas MultiIndex / Advanced Indexing

Pandas Merge, Join and Concatenate

Pandas Reshaping and Pivot Tables

Working with Text Data in Pandas

Working with Missing Data in Pandas

Pandas Categorical Data

Pandas Nullable Integer Data Type

Visualization in Pandas

Computational Tools

Group By: split-apply-combine in Pandas

Pandas Time Series / Date Functionality

Pandas Time Deltas

Styling in Pandas

Pandas Options and Settings

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