Introduction to Pandas
3 min
Download Resources
1 min
How to get Queries Resolved
1 min
Complete ML Mastery
1 min
Assignment
1 min
Assignment Solution
1 min
Pandas for Data Science
- Master data manipulation, cleaning, and analysis with Python's Pandas library in our Data Science course.
Gain essential Python for Data Analysis skill for real-world projects.
Created by Selva Prabhakaran
-
84 Video Lessons
-
English
-
English captions
Validity Period: 365 days
Already Subscribed? Click here to access your courses
- Course Certificate
- Code Walkthroughs
- Practice Data
- Money Back if not satisfied
- Algorithms explanation
- 2h 26m of Self-paced videos
- Downloadable resources
- Q&A sessions with experts
What you will learn
01
Key Data Operations
02
Data Preparation and Transformation
03
Data grouping and aggregation
04
Handling large data
05
Pivoting data and combining dataframes
06
Data cleaning and tranformation
07
Data Visualization
08
Conditional filtering and sorting
09
Speed up the codes
Course Curriculum
16 Modules | 114 Sessions | 6 hour 38 min Total Time
Introduction to Pandas
Sessions: 11 | Time: 30 min
Installation Videos
Sessions: 2 | Time: 15 min
Inspecting Dataframes and Must know operations
Sessions: 8 | Time: 20 min
Conditional filtering and sorting
Sessions: 13 | Time: 45 min
Data preparation and transformation
Sessions: 7 | Time: 20 min
Useful tips and tricks
Sessions: 8 | Time: 24 min
Data grouping and aggregation
Sessions: 7 | Time: 16 min
Reshaping and pivoting data
Sessions: 5 | Time: 13 min
Combining dataframes
Sessions: 6 | Time: 13 min
Data cleaning and transformations
Sessions: 6 | Time: 17 min
Practical tips and tricks
Sessions: 12 | Time: 35 min
Optimizing dataframes
Sessions: 1 | Time: 8 min
Handling Large Data
Sessions: 6 | Time: 23 min
Making Pandas Faster
Sessions: 10 | Time: 1 hr 3 min
Data Visualization
Sessions: 12 | Time: 55 min
Requirements
- Basic Maths and Logical Reasoning
- Curiosity about Data Science
- Learning Mindset
Who should attend this course?
-
Future Data Scientists and ML Engineers
-
Product Managers, Program Managers, Scrum Masters working in ML/Data science project
-
Software/Data engineers interested in quantitative analysis
-
Software engineers interfacing with data science team
-
Executives who have to lead or interact with Data Scientists
Instructor
Selva Prabhakaran Principal Data Scientist
My name is Selva, and I am super excited to mentor you on this project!
I head the Data Science team for a global Fortune 500 company and over the last
10 years of my data science experience I’ve deployed 20+ global products. I’m
also the Founder & Chief Author of Machine Learning Plus, which has over 4M
annual readers.
I specialize in covering the in-depth intuition and maths of any concept or
algorithm. And based on my existing student requests, I’ve put up the series of
courses and projects with detailed explanations – just like an on the job
experience. Hope you love it!
-
4.5+Instructor rating
-
200+ reviews
-
10K+students
-
15+ Courses
Validity Period: 365 days
Already Subscribed? Click here to access your courses
- Workshop Certificate
- Code Walkthroughs
- Practice Data
- Money Back if not satisfied
- Algorithms explanation
- 2h 26m of Self-paced videos
- Downloadable resources
- Q&A sessions with experts