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Data Analysis with Pandas and Python

Analyze data quickly and easily with Python's powerful pandas library! All datasets included --- beginners welcome!
4.7
4.7/5
(14,939 reviews)
155,028 students
Created by

9.8

CourseMarks Score®

9.8

Freshness

9.0

Feedback

10.0

Content

Platform: Udemy
Video: 20h 37m
Language: English
Next start: On Demand

Top Data Analysis courses:

Detailed Analysis

CourseMarks Score®

9.8 / 10

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

Freshness Score

9.8 / 10
This course was last updated on 4/2021 .

Course content can become outdated quite quickly.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

9.0 / 10
We analyzed factors such as the rating (4.7/5) 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

10.0 / 10
Video Score: 10.0 / 10
The course includes 20h 37m 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 5 hours 32 minutes of 234 Data Analysis courses on Udemy.
Detail Score: 9.9 / 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: 10.0 / 10

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

This course contains:

11 articles.
4 resources.
8 exercises.
0 test.

Table of contents

Description

Student Testimonials:
•The instructor knows the material, and has detailed explanation on every topic he discusses. Has clarity too, and warns students of potential pitfalls. He has a very logical explanation, and it is easy to follow him. I highly recommend this class, and would look into taking a new class from him. – Diana

•This is excellent, and I cannot complement the instructor enough. Extremely clear, relevant, and high quality – with helpful practical tips and advice. Would recommend this to anyone wanting to learn pandas. Lessons are well constructed. I’m actually surprised at how well done this is. I don’t give many 5 stars, but this has earned it so far. – Michael

•This course is very thorough, clear, and well thought out. This is the best Udemy course I have taken thus far. (This is my third course.) The instruction is excellent! – James

Welcome to the most comprehensive Pandas course available on Udemy! An excellent choice for both beginners and experts looking to expand their knowledge on one of the most popular Python libraries in the world!
Data Analysis with Pandas and Python offers 19+ hours of in-depth video tutorials on the most powerful data analysis toolkit available today. Lessons include:
•installing
•sorting
•filtering
•grouping
•aggregating
•de-duplicating
•pivoting
•munging
•deleting
•merging
•visualizing
and more!
Why learn pandas?

If you’ve spent time in a spreadsheet software like Microsoft Excel, Apple Numbers, or Google Sheets and are eager to take your data analysis skills to the next level, this course is for you! 

Data Analysis with Pandas and Python introduces you to the popular Pandas library built on top of the Python programming language. 
Pandas is a powerhouse tool that allows you to do anything and everything with colossal data sets — analyzing, organizing, sorting, filtering, pivoting, aggregating, munging, cleaning, calculating, and more! 
I call it “Excel on steroids”!

Over the course of more than 19 hours, I’ll take you step-by-step through Pandas, from installation to visualization! We’ll cover hundreds of different methods, attributes, features, and functionalities packed away inside this awesome library. We’ll dive into tons of different datasets, short and long, broken and pristine, to demonstrate the incredible versatility and efficiency of this package.

Data Analysis with Pandas and Python is bundled with dozens of datasets for you to use. Dive right in and follow along with my lessons to see how easy it is to get started with pandas!
Whether you’re a new data analyst or have spent years (*cough* too long *cough*) in Excel, Data Analysis with pandas and Python offers you an incredible introduction to one of the most powerful data toolkits available today!

You will learn

✓ Perform a multitude of data operations in Python’s popular “pandas” library including grouping, pivoting, joining and more!
✓ Learn hundreds of methods and attributes across numerous pandas objects
✓ Possess a strong understanding of manipulating 1D, 2D, and 3D data sets
✓ Resolve common issues in broken or incomplete data sets

Requirements

• Basic / intermediate experience with Microsoft Excel or another spreadsheet software (common functions, vlookups, Pivot Tables etc)Basic experience with the Python programming language
• Strong knowledge of data types (strings, integers, floating points, booleans) etc

This course is for

• Data analysts and business analysts
• Excel users looking to learn a more powerful software for data analysis

How much does the Data Analysis with Pandas and Python course cost? Is it worth it?

The course costs $15.99. And currently there is a 20% discount on the original price of the course, which was $19.99. So you save $4 if you enroll the course now.
The average price is $12.8 of 234 Data Analysis courses on Udemy.

Does the Data Analysis with Pandas and Python course have a money back guarantee or refund policy?

YES, Data Analysis with Pandas and Python 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 Data Analysis with Pandas and Python course, but there is a $4 discount from the original price ($19.99). So the current price is just $15.99.

Who is the instructor? Is Boris Paskhaver a SCAM or a TRUSTED instructor?

Boris Paskhaver has created 6 courses that got 28,472 reviews which are generally positive. Boris Paskhaver has taught 310,425 students and received a 4.7 average review out of 28,472 reviews. Depending on the information available, Boris Paskhaver is a TRUSTED instructor.
Software Engineer | Consultant | Author
Hi there, it’s nice to meet you! I’m a New York City-based software engineer, author, and consultant who’s been teaching on Udemy since 2016.

Like many of my peers, I did not follow a conventional approach to my current role as a web developer. After graduating from New York University in 2013 with a degree in Business Economics and Marketing, I worked as a business analyst, systems administrator, and data analyst for a variety of companies including a digital marketing agency, a financial services firm, and an international tech powerhouse. At one of those roles, I was fortunate enough to be challenged to build several projects with Python and JavaScript. 

There was no formal computer science education for me; I discovered coding entirely by accident. A small work interest quickly blossomed into a passionate weekend hobby. Eventually, I left my former role to complete App Academy, a rigorous full-stack web development bootcamp in NYC. The rest is history.

I’ve always been fascinated by the intersection of technology and education, especially since I’ve struggled with many of the traditional resources people use to learn how to program. My goal as an instructor is to create comprehensive step-by-step courses that break down the complex details into small, digestible pieces. I like to build the kind of material that I myself would have loved to have when I was starting out.

I’m passionate about teaching and would love to help you discover what code can do for you. See you in a course soon!

9.8

CourseMarks Score®

9.8

Freshness

9.0

Feedback

10.0

Content

Platform: Udemy
Video: 20h 37m
Language: English
Next start: On Demand

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