Classbaze

Disclosure: when you buy through links on our site, we may earn an affiliate commission.

Python Pandas Library Full Tutorial

Pandas Library
4.0
4.0/5
(183 reviews)
19,238 students
Created by

7.4

Classbaze Grade®

7.5

Freshness

7.1

Popularity

7.0

Material

Pandas Library
Platform: Udemy
Video: 1h 14m
Language: English
Next start: On Demand

Best Python classes:

Classbaze Rating

Classbaze Grade®

7.4 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

7.5 / 10
This course was last updated on 4/2020.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

7.1 / 10
We analyzed factors such as the rating (4.0/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

7.0 / 10
Video Score: 7.7 / 10
The course includes 1h 14m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 7 hours 31 minutes of 1,582 Python courses on Udemy.
Detail Score: 7.8 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 5.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
0 resource.
0 exercise.
0 test.

In this page

About the course

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. In this course, you’ll learn a lot about this library. Basic knowledge of Numpy is required, as we will perform some tasks using NumPy.

[Note: In this course, we used Jupyter Notebook to write all the codings. in case if you don’t have Jupyter Notebook or you don’t how to use Jupyter Notebook, you can simply run these codes in any IDE, or even in Python Default IDLE.]

What can you learn from this course?

✓ pandas library

What you need to start the course?

• numpy arrays
• python

Who is this course is made for?

• Beginner in Python
• Who wants to learn Pandas Library

Are there coupons or discounts for Python Pandas Library Full Tutorial ? What is the current price?

The course costs $14.99. And currently there is a 40% discount on the original price of the course, which was $19.99. So you save $5 if you enroll the course now.
The average price is $20.1 of 1,582 Python courses. So this course is 25% cheaper than the average Python course on Udemy.

Will I be refunded if I'm not satisfied with the Python Pandas Library Full Tutorial course?

YES, Python Pandas Library Full Tutorial has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the Python Pandas Library Full Tutorial course, but there is a $5 discount from the original price ($19.99). So the current price is just $14.99.

Who will teach this course? Can I trust Diptam Paul?

Diptam Paul has created 5 courses that got 1,114 reviews which are generally positive. Diptam Paul has taught 76,560 students and received a 4.1 average review out of 1,114 reviews. Depending on the information available, we think that Diptam Paul is an instructor that you can trust.
Computer Science Engineer
I’m a computer science student, love to teach what I know. Sharing knowledge is the best thing in this world.
I’ve knowledge of Web Development and Designing, and on machine learning, Data Science and AI. I’ll make courses on these topics so that everyone can understand these topics in an easy way.
Browse all courses by on Classbaze.

7.4

Classbaze Grade®

7.5

Freshness

7.1

Popularity

7.0

Material

Platform: Udemy
Video: 1h 14m
Language: English
Next start: On Demand

Classbaze recommendations for you