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Pandas for Data Analysis in Python

Expert instruction

2 skill-building courses

100% online courses

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Analyze data quickly and easily with Python's powerful pandas library! All datasets included --- beginners welcome!

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What you will learn

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250 hours of blended learning

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24 hours of self-paced, online learning

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Import HTML data in Pandas DataFrames

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4 industry-based course-end projects

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Interactive learning

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Blended learning

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Define single and multi-dimensional NumPy arrays

Skills Covered

  • Data Science

  • Data Operations

  • Data Analysis

  • Python Programming

About the Program

Learn Pandas - The Most Popular and Useful Python Library for Data Science

Pandas is one of the most popular Python libraries in data science. In fact, Pandas is among those elite libraries that draw instant recognition from programmers of all backgrounds, from developers to data scientists. According to a recent survey by StackOverflow, Pandas is the 4th most used library/framework in the world. That is quite an achievement! Pandas is the first library we import when we fire up our Jupyter notebooks (‘import pandas as pd’ is indelibly etched in our minds!). It is a super flexible tool that enables us to perform data analysis and data manipulation on Pandas dataframes in double-quick time.

What will I gain from this program?

This Applied Pandas for Data Analysis in Python Program aims to discover ways to make use of the Python language to scrub clean, analyze as well as visualize data. Through our guided lectures & labs, you will get hands-on experience tackling fascinating data issues and exploring data stories. This's an action-packed learning path for data science enthusiasts who wish to work with real-life problems with Python. Be sure to take this particular learning road to solidify your data abilities with in Analysis, prior to diving directly into machine learning, deep learning and big data in Python.

What are the pre-requisites for this course?

This course is for complete beginners and doesn’t need any pre-requisites or programming knowledge or experience.

Tools Covered


Learn from India’s leading Software Engineering faculty and Industry leaders

Course Content

Lesson 01 - Getting Started with Pandas

  • Introduction to the Course
  • Pandas Installation

Lesson 02 - Dataset Description

  • Loan Prediction
  • Big Mart Sales

Lesson 03 - Read & Write Data using Pandas

  • Understanding File System & shell commands
  • Reading Excel & CSV files
  • Writing Data using Pandas
  • Quiz: Reading a csv file using Pandas

Lesson 04 - Pandas Dataframes

  • What are Pandas Dataframes & its operations?
  • Selecting Columns & Rows in Pandas (Indexing)
  • Quiz: DataFrames and basic operations

Lesson 05 - Data Exploration using Pandas

  • Basic Descriptive Statistics using Pandas
  • Plotting using Pandas
  • Quiz: Data Exploration using Pandas

Lesson 06 - Data Manipulation using Pandas

  • Renaming Column using Pandas
  • Sorting Data in Pandas DataFrame
  • Binning using Pandas
  • Handling Missing Values
  • Apply Function in Pandas for Element wise Operations
  • Quiz: Pandas Apply Function

Lesson 08 - Merging Data using Pandas

  • Merging Data in Pandas Dataframes
  • Quiz: Merging Data using Pandas

Lesson 09 - Pandas Cheatsheet

Pandas Cheatsheet

Lesson 07 - Aggregating data using Pandas

  • Types of Aggregations in Pandas
  • Aggregations using Pandas in action
  • Quiz: Aggregations in Pandas


Upon successful completion of this Pandas for Data Analysis in Python.




Enrolling Now


₹ 9,999

₹ 19,999


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Lifetime access to high-quality self-paced elearning content curated by industry experts

10 real-world projects guided by industry experts

48% annual growth in job openings

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24x7 learner assistance and support

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405+ hours of online learning content

Career Impact

Over 500 Careers Transformed


Average Salary Hike


Jobs Sourced

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Highest Salary


Hiring Partners

Frequently asked questions

Who should take Pandas for Data Analysis in Python course?

This course is for people who wants to start their journey in machine learning and data analysis. Pandas is one of the most popular data analysis libraries in Python.

Why should I learn Python for Data Science?

Python is one of the most popular languages in Data Science, which can be used to perform data analysis, data manipulation, and data visualization. Python offers access to a wide variety of Data Science libraries and it is the ideal language for implementing algorithms and the rapid development of applications.

How much effort will this course take?

You can complete Pandas for Data Analysis in few hours. You are also expected to apply Pandas and its functions to perform data analysis.

What is the job outlook for Pandas for Data Analysis in Python professionals?

Harvard Business Review has already named Data Scientist as the ‘Sexiest Job of the 21st Century.’ The statement is echoed in LinkedIn Emerging Jobs Report 2021 in which Data Science specialists are one of the top emerging jobs in the US with Python as one of its key skills. The job role has witnessed an annual growth of 35 percent for Data scientists and Data engineers.

Which companies use Python?

Major companies like Google, Instagram, Goldman Sachs, Facebook, Quora, Netflix, Dropbox, and PayPal use Python.

Can I cancel my enrollment? Will I get a refund?

Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, you can view our Refund Policy.

Do I need to leave my job for this program?

No, the program is designed in such a way that, you can continue with your job along with this program. It will be a mix of pre-recorded videos, live classes as well as printed study material. Every topic would be project-based and will be taught as per the live market scenario. The course module will be covered under the guidance of Industry Experts.

Will Bygrad help me with project completion?

There are two types of projects:

a. Practice projects: Your mentor will first do 3-4 projects for you and then you will do the next 5-6 projects wherein you will get help from your mentor and on tickets.

b. Evaluation projects: Once you’re done with the practice projects, you get access to the evaluation projects.

What if I miss a live online class?

In case you miss a class, you need not to worry. All the live classes’ recordings will be available on your LMS. You can watch and practice the concepts at your own time.

What will be the training mode?

There are two training modes:

a. Self-paced: You will get access to Bygrad and IBM joint LMS wherein you will be assigned courses and projects. You will need to go through these courses and complete the projects at your own pace. Mentor support will be provided.

b. Blended: You will get access to Bygrad and IBM joint LMS wherein you will be assigned courses and projects. You will need to go through these courses and complete the projects at your own pace. In addition to these courses, live online classes are conducted on Saturdays and Sundays for you. Mentor support will be provided.