Pandas for Data Analysis in Python
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!
7345 already enrolled
What you will learn
250 hours of blended learning
24 hours of self-paced, online learning
Import HTML data in Pandas DataFrames
4 industry-based course-end projects
Define single and multi-dimensional NumPy arrays
About the Program
Learn Pandas - The Most Popular and Useful Python Library for Data Science
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.
Learn from India’s leading Software Engineering faculty and Industry leaders
Lesson 01 - Getting Started with Pandas
Introduction to the Course
Lesson 02 - Dataset Description
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
Lesson 07 - Aggregating data using Pandas
Types of Aggregations in Pandas
Aggregations using Pandas in action
Quiz: Aggregations in Pandas
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Upon successful completion of this Pandas for Data Analysis in Python.
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SHARE YOUR ACHIEVEMENT
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
24x7 learner assistance and support
405+ hours of online learning content
Over 500 Careers Transformed
Average Salary Hike
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?
Which companies use Python?
Can I cancel my enrollment? Will I get a refund?
Do I need to leave my job for this program?
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?
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.