Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
19 Hour(s) 27 Minute(s)
Language
English
Taught by
Boris Paskhaver
Rating
2 views
Course Overview
Analyze data quickly and easily with Python's powerful pandas library! All datasets included --- beginners welcome!
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!
Course Content
- 15 section(s)
- 141 lecture(s)
- Section 1 Installation and Setup
- Section 2 Python Crash Course
- Section 3 Series
- Section 4 DataFrames I: Introduction
- Section 5 DataFrames II: Filtering Data
- Section 6 DataFrames III: Data Extraction
- Section 7 Working with Text Data
- Section 8 MultiIndex
- Section 9 GroupBy
- Section 10 Merging DataFrames
- Section 11 Working with Dates and Times
- Section 12 Input and Output
- Section 13 Visualization
- Section 14 Options and Settings
- Section 15 Conclusion
What You’ll 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
Skills covered in this course
Reviews
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DDusan Babic
Sound and clear. Excellent for beginners - practice task concept is beginner friendly and next chapter always contain reminder on previous chapters relevant to current section.
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MMalavika Sundareswaran
The course is extremely immersive and detailed and is a treat to follow along to. However, I wished there were a few more revision parts and maybe a final project where we could see all of the lessons come together
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AAdhi kesavan M
Actually the tutor is way more than good than i expected and the concepts and every section was perfect those who wants to understand every bit of actions that he did in front of us during the session and yeah this is the one of the best course for someone who needs to learn pandas i would definitely suggest this to those and am planning to take another boris course polars and keep doing this and we expected you to doo more on course on library like matplot seabourn skipy ml for those who learning for data analysis / scientist perfect if u consider this request because ur teaching style is like wow so i would want to take further course also follow ur teaching methods
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NNeel Shah
Excellent course for developing practical Pandas skills. The instructor covers a wide range of DataFrame operations including indexing, filtering, groupby, aggregation, merging, and handling missing data. The step-by-step coding demonstrations make it easy to follow along and practice. Even with prior basic knowledge of Pandas, I found the course helpful for strengthening my understanding of many functions and workflows used in real data analysis. Highly recommended for beginners and intermediate learners who want to improve their data manipulation skills with Pandas.
