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Python for the Jupyter Notebook

Python Basics for new programmers using the Jupyter Notebook.
4.3
4.3/5
(54 reviews)
1,728 students
Created by Henry Palma

8.6

CourseMarks Score®

8.8

Freshness

7.8

Feedback

8.5

Content

Platform: Udemy
Price: $12.99
Video: 2h 26m
Language: English
Next start: On Demand

Top Python courses:

Detailed Analysis

CourseMarks Score®

8.6 / 10

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

Freshness Score

8.8 / 10
This course was last updated on 5/2020.

Course content can become outdated quite quickly.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.

Student Feedback

7.8 / 10
We analyzed factors such as the rating (4.3/5) 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.

Content Score

8.5 / 10
Video Score: 7.9 / 10
The course includes 2h 26m 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 24 minutes of 1,300 Python courses on Udemy.
Detail Score: 8.0 / 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: 9.5 / 10

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

This course contains:

0 article.
18 resources.
0 exercise.
0 test.

Table of contents

Description

If you are curious about Python, Data Science or Data Engineering start here. The goal of these tutorials are to get you writing Python in the Jupyter Notebook. I cover all of the basics you need to get you comfortable with the Jupyter Notebook and Python. The course covers:
•Creating Variables
•Performing Math Calculations in Python
•Strings
•Printing Formatted Strings
•Collecting User input
•Decision Making in Python
•Loops in Python
•Lists
•Sets
•Dictionaries
•Date and Time
•Functions
•Classes
•Exceptions
•List Comprehensions

Requirements

Requirementsnone

You will learn

✓ How to program in Python using the Jupyter Notebook

This course is for

• Beginner Python Developers

How much does the Python for the Jupyter Notebook course cost? Is it worth it?

The course costs $12.99. And currently there is a 48% discount on the original price of the course, which was $24.99. So you save $12 if you enroll the course now.
The average price is $19.0 of 1,300 Python courses. So this course is 32% cheaper than the average Python course on Udemy.

Does the Python for the Jupyter Notebook course have a money back guarantee or refund policy?

YES, Python for the Jupyter Notebook has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Python for the Jupyter Notebook course, but there is a $12 discount from the original price ($24.99). So the current price is just $12.99.

Who is the instructor? Is Henry Palma a SCAM or a TRUSTED instructor?

Henry Palma has created 4 courses that got 81 reviews which are generally positive. Henry Palma has taught 2,647 students and received a 4.1 average review out of 81 reviews. Depending on the information available, Henry Palma is a TRUSTED instructor.

More info about the instructor, Henry Palma

Software/Data Engineer/Mobile Developer
I have been working as a technologist for the last 18 years in multiple Financial institutions and technology consulting firms. I have worked in roles as a Data Analysts, Data Engineer, Software developer and Project/Program Manager. I enjoy both learning and teaching and look forward to providing great learning experiences here in Udemy.

8.6

CourseMarks Score®

8.8

Freshness

7.8

Feedback

8.5

Content

Platform: Udemy
Price: $12.99
Video: 2h 26m
Language: English
Next start: On Demand

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