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Watch Pandas Data Analysis with Python Fundamentals LiveLessons
- 2017
- 1 Season
Pandas Data Analysis with Python Fundamentals LiveLessons is an educational show that is dedicated to teaching viewers how to use Python for data analysis. This show is hosted by Daniel Y. Chen, who is a renowned data scientist and author. Chen begins the show by introducing the Pandas library, which is a powerful Python library used for data manipulation and analysis. He then proceeds to discuss the basics of data analysis, including data exploration, data cleaning, and data visualization.
Throughout the series, Chen walks viewers through various data analysis techniques, starting with simple tasks such as selecting and filtering data, and gradually progressing to more complicated tasks such as data transformation, aggregation, and group-by operations.
One of the highlights of this show is Chen's emphasis on real-world applications of data analysis. He provides examples of how data analysis techniques can be applied to various industries, including finance, healthcare, and marketing. This makes the show particularly useful for professionals who are seeking to improve their data analysis skills.
In addition to teaching viewers how to use the Pandas library, Chen also covers other important data analysis tools, such as NumPy, Matplotlib, and Seaborn. He shows viewers how to use these tools to visualize data and gain insights into complex datasets.
One unique aspect of this show is the hands-on approach that Chen takes to teaching. Throughout the series, viewers are encouraged to follow along with Chen's demonstrations by using Jupyter notebooks. This allows viewers to replicate the code examples that Chen presents and gain hands-on experience with data analysis.
Overall, Pandas Data Analysis with Python Fundamentals LiveLessons is an exceptional educational show that is sure to be of interest to anyone interested in data analysis or Python programming. With Daniel Y. Chen as the host, viewers can expect a thorough and expert-level overview of the subject matter.