

When? This feed was archived on February 10, 2025 12:10 (
Why? تلقيمة معطلة status. لم تتمكن خوادمنا من جلب تلقيمة بودكاست صحيحة لفترة طويلة.
What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.
In this episode, Eugene Uwiragiye leads a deep dive into data manipulation using Python's Pandas library. He covers essential topics such as sorting, handling missing values, and performing data aggregation. Eugene also introduces pivot tables in Python, emphasizing their flexibility for summarizing data. The episode offers a hands-on guide, perfect for anyone looking to improve their data analysis skills.
Key Topics Discussed:
Notable Quotes:
Resources Mentioned:
Takeaway:
This episode equips listeners with practical skills in data manipulation and aggregation using Pandas. Whether dealing with missing values, performing data summarization, or generating pivot tables, listeners will learn essential techniques to enhance their data analysis capabilities.
Call to Action:
Try out the concepts discussed in this episode by working with a sample dataset in a Jupyter Notebook. Experiment with sorting, filtering, and using pivot tables to explore data in new ways!
20 حلقات
When?
This feed was archived on February 10, 2025 12:10 (
Why? تلقيمة معطلة status. لم تتمكن خوادمنا من جلب تلقيمة بودكاست صحيحة لفترة طويلة.
What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.
In this episode, Eugene Uwiragiye leads a deep dive into data manipulation using Python's Pandas library. He covers essential topics such as sorting, handling missing values, and performing data aggregation. Eugene also introduces pivot tables in Python, emphasizing their flexibility for summarizing data. The episode offers a hands-on guide, perfect for anyone looking to improve their data analysis skills.
Key Topics Discussed:
Notable Quotes:
Resources Mentioned:
Takeaway:
This episode equips listeners with practical skills in data manipulation and aggregation using Pandas. Whether dealing with missing values, performing data summarization, or generating pivot tables, listeners will learn essential techniques to enhance their data analysis capabilities.
Call to Action:
Try out the concepts discussed in this episode by working with a sample dataset in a Jupyter Notebook. Experiment with sorting, filtering, and using pivot tables to explore data in new ways!
20 حلقات
يقوم برنامج مشغل أف أم بمسح الويب للحصول على بودكاست عالية الجودة لتستمتع بها الآن. إنه أفضل تطبيق بودكاست ويعمل على أجهزة اندرويد والأيفون والويب. قم بالتسجيل لمزامنة الاشتراكات عبر الأجهزة.