Python for data analysis
| AUTHOR | Oliver, Deborah |
| PUBLISHER | Charlie Creative Lab (01/05/2021) |
| PRODUCT TYPE | Paperback (Paperback) |
This audiobook offers a smart introduction to data analysis using Python and is one of the best books available in the market. It covers basic and advanced data analysis concepts in detail using several Python libraries that are well-known for their data analytical features. The book explains everything in detail and, sometimes, enhances the listeners' knowledge by touching on some advanced topics that need strict adherence and sincerity to master.
In this audiobook, we start with an introduction to data analysis using the catering system as an example. We always strive to give Python code for the concepts discussed because it gives a practical understanding of the topic.
Below are some the most important topics we have discussed in this book, in no particular order:
- Data analysis with a universal catering system that helps us understand different data mining models available
- Introduction to Python, Numpy, and Pandas and their installation
- Numpy and advanced array functions it offers
- Pandas and functions it offers
- Basic and advanced data analysis skills
- Plotting features in data analysis
- Time series functions in data analysis
- E-commerce example to understand the real-world application of data analysis
So, what are you waiting for? Go on a drive to conquer data analysis skills by using this book.
This audiobook offers a smart introduction to data analysis using Python and is one of the best books available in the market. It covers basic and advanced data analysis concepts in detail using several Python libraries that are well-known for their data analytical features. The book explains everything in detail and, sometimes, enhances the listeners' knowledge by touching on some advanced topics that need strict adherence and sincerity to master.
In this audiobook, we start with an introduction to data analysis using the catering system as an example. We always strive to give Python code for the concepts discussed because it gives a practical understanding of the topic.
Below are some the most important topics we have discussed in this book, in no particular order:
- Data analysis with a universal catering system that helps us understand different data mining models available
- Introduction to Python, Numpy, and Pandas and their installation
- Numpy and advanced array functions it offers
- Pandas and functions it offers
- Basic and advanced data analysis skills
- Plotting features in data analysis
- Time series functions in data analysis
- E-commerce example to understand the real-world application of data analysis
So, what are you waiting for? Go on a drive to conquer data analysis skills by using this book.
