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- 30% Data Analysis with Pandas and Python

Data Analysis with Pandas and Python

$13.99Track price

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9.4/10 (Our Score)
Product is rated as #5 in category Python

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:

Instructor Details

Hi there! 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!

Specification: Data Analysis with Pandas and Python

Duration

20.5 hours

Year

2020

Level

All

Certificate

Yes

Quizzes

Yes

26 reviews for Data Analysis with Pandas and Python

4.4 out of 5
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  1. Matheus Kempa

    Excelent!

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  2. Koushik Dutta

    Please make a video on advance usage on pandas , it says its for all levels , but i dont think so , i think its for beginners ,

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  3. Christopher Knoll

    Nice Course to follow along. More quizzes to test if everything was understood would have been great.

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  4. Lee Udemy

    Very good articulation, logic and flow

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  5. Manisha Upadhyaya

    Clear and detail information. Easy to understand. Suggestion is not updated for the current version. So some operation do not work.

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  6. Manish Shetty

    easy to follow so far on

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  7. Manpreet Singh

    Yes, indeed. Very well explained.

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  8. Madhav

    Yes, it was a good introduction video

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  9. Ignacio Amb a

    The course is good, but it resembles a lot to the pandas documentation, & some things explained here are outdated, according to the documentation as well, such as the index used in series, it is now used that way now (serie[index] changed to serie.loc[index])

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  10. Tal Kay

    The explanations are very detailed and clear so that i can follow the lessons in 100%

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  11. Manasa

    Good match

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  12. Tagui Guzubashyan

    first time user

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  13. Vishal Jaiswal

    It is amazing

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  14. Philippe Kurzweil

    Thorough

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  15. Tom Keller

    Covers a whole lot of the pandas library and is easy to follow for beginners. So thank you, Boris! It’s only 4.5, because one module (Panels) and one feature (the ix indexer) are outdated by now. But still most of the course is still up to date at dt.datetime.now().

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  16. Maureen Dunham

    This is a very good general overview of pandas. The course is very well organized and easy to follow. I ran into a few challenges along the way, but I was able to work around the issues with the foundational level of knowledge from this course. Thanks, Boris!

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  17. Vikash Choudhary

    great. if we can have small quizzes at intervals, this would help

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  18. Venkata Valli Visali Kadiyala

    Thanks, Boris for such a wonderful course. At the beginning of this course, I don’t know a thing about the pandas library. But now, I am very confident at using it and please also include more exercises and quiz for practice. Thanks again and very useful course. Regards, Visali

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  19. Michael J tte

    Fantastic course. Well designed, very clear presentation, super teacher! Thanks!

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  20. David Edmonds

    Fantastic course. Well explained and logical examples.

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  21. Henry Tan

    Good pace. Awesome example It would be even better if the audio volume level is the same between each lesson. Some lesson is too loud. Maybe you could normalize them. Some of the audio is stopped in the middle and I need to move the thumbnail forward to continue.

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  22. Om Shrestha

    Great Class

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  23. Saranya Bhoopal

    This course deserves a 5 Star indeed all lectures are crisp and as engaging as it can be… The instruct has a great skill of teaching the course is a very good place to start Pandas. The only one let down is there is no Project or much exercise for practice what we have learnt to test our understanding.

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  24. David DuPre

    Like the focus on each section. Good delivery.

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  25. Chris Jones

    This is a great course! Very clear instruction.

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  26. Gunjan

    Excellent

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    Data Analysis with Pandas and Python

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