Classbaze

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

Pandas for the Anaconda Jupyter Notebook

For beginners and intermediate Python/Pandas users
4.1
4.1/5
(13 reviews)
96 students
Created by

8.3

Classbaze Grade®

7.6

Freshness

8.0

Popularity

8.8

Material

For beginners and intermediate Python/Pandas users
Platform: Udemy
Video: 5h 15m
Language: English
Next start: On Demand

Best Python classes:

Classbaze Rating

Classbaze Grade®

8.3 / 10

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

Freshness

7.6 / 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Course content can become outdated quite quickly.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.

Popularity

8.0 / 10
We analyzed factors such as the rating (4.1/5) 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

8.8 / 10
Video Score: 8.4 / 10
The course includes 5h 15m 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: 8.4 / 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.
38 resources.
0 exercise.
0 test.

In this page

About the course

My name is Henry Palma and I have been working with data in Finance and Technology for the last 16 years. I have worked for Investment Banks, Consulting Firms and Credit Card companies helping to design financial calculation engines and reporting systems. The lessons in this program are designed to teach you real world applications of Pandas and Python in a professional environment. My goal is to get you up and ready to start coding in Python and Pandas as soon as possible.
This program is designed for professionals curious about data analysis and data engineering with Python and the Pandas Data Analysis Library. You don’t need to be an experienced programmer to learn in these tutorials. I will give you some code and explain how it works. You will be able to take that code and use it in your day to day learning. In my experience learning to program really boils down to learning some code and then tinkering until you understand how things work. This program is designed that way.
This program is spite into 3 sections. The section on the Anaconda Notebook will walk you through the basics of the Anaconda Notebook. The section on Python will get you familiar with the Python language and the code you will need to get started with the Pandas library. The section on Pandas will get you up and running with all of the fundamentals of the Pandas data analysis library.

What can you learn from this course?

✓ Python
✓ Pandas
✓ Data Analysis
✓ Jupyter Notebook
✓ Data Science

What you need to start the course?

• Have analyzed data in excel
• Not afraid of a little code.

Who is this course is made for?

• Busy professionals looking to advance their data analysis skills and learn some data science and programming.

Are there coupons or discounts for Pandas for the Anaconda Jupyter Notebook ? What is the current price?

The course costs $14.99. And currently there is a 25% 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 Pandas for the Anaconda Jupyter Notebook course?

YES, Pandas for the Anaconda 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 financial aid for this course?

Currently we could not find a scholarship for the Pandas for the Anaconda Jupyter Notebook 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 Henry Palma?

Henry Palma has created 3 courses that got 126 reviews which are generally positive. Henry Palma has taught 2,425 students and received a 4.2 average review out of 126 reviews. Depending on the information available, we think that Henry Palma is an instructor that you can trust.
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.
Browse all courses by on Classbaze.

8.3

Classbaze Grade®

7.6

Freshness

8.0

Popularity

8.8

Material

Platform: Udemy
Video: 5h 15m
Language: English
Next start: On Demand

Classbaze recommendations for you