Coupon & course info
Course Name: Data Analysis in Python with Pandas
Subtitle: Getting an introduction to doing data analysis with the Python pandas library with hours of video and code.
Instructor: Taught by Bill Chambers, Data Scientist at UC Berkeley
Subcategory: Software Engineering
Provided by: Udemy
Price: $99 (before discount)
Free coupon code: See above (no charge for coupon)
Review info & popularity
As of March 4, 2016…
Students: 2918 students enrolled
Ratings: 75 reviews
Rank: ranked #107 in Udemy Development Courses
Brief course description
Ever wonder how you can best analyze data in python? Wondering how you can advance your career beyond doing basic analysis in excel? Want to take the skills you already have from the R language and learn how to do the same thing in python and pandas?
THEN THIS COURSE IS FOR YOU!
By taking the course, you will master the fundamental data analysis methods in python and pandas!
(Read more about this course on the official course page.)
Bill Chambers bio
Bill Chambers is currently pursuing a Master’s in Information Management and Systems at the UC Berkeley School of Information. Before pursuing this degree, he focused on data architecture and systems scaling at his last employer. He re-architected the company’s entire internal systems operations including redeploying Salesforce internally, implementing Hubspot’s marketing automation software, and integrating Totango’s customer analytics platform. Bill was also responsible for providing operational metrics through statistical analysis using Python (specifically the pandas data analysis library). After UC Berkeley, Bill hopes to help other businesses improve the way their businesses work through data.
(Learn more about this instructor on the official course page.)
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Final details for this Udemy course
Skill level: Intermediate Level
Lectures: 34 lessons
Duration: 5 Hours of video
What you get: Perform data analysis with python using the pandas library.
Target audience: This course is best suited for people that need a deeper understanding of data analysis tools available today.
Requirements: Students need to have Python installed on their computer.
Access: Lifetime access
Peace of mind: 30 day money back guarantee
Availability: available online, as well as on iOS and Android
Download options: check course to see if you can download lessons