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Data Analytics with Python
- Data Analytics in Python Using Pandas
- De: Frank Millstein
- Narrado por: Jon Wilkins
- Duración: 3 h y 7 m
- Versión completa
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General
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Narración:
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Historia
Data is the foundation of this digital age that we live in. With this audiobook, you are going to learn how to organize and analyze data and how to interpret vast sources of information. This audiobook covers various topics on data analytics such as data analytics applications, data analytics process, using Python for data analytics, Python libraries for data analytics, and many other that will help you kick-start your data analytics journey from the very beginning.
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Cool content. Hard to catch dictation of raw data.
- De Håvard en 06-24-18
- Data Analytics with Python
- Data Analytics in Python Using Pandas
- De: Frank Millstein
- Narrado por: Jon Wilkins
Cool content. Hard to catch dictation of raw data.
Revisado: 06-24-18
Hi there, I am sorry to leave this bad review on performance. Listing of raw data simply felt like a waste of time to me in audio format. An external reference to the data would be very helpful. Maybe I missed it? A high level description of the columns and formats would make sense to me in audio format.
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Data Analytics
- Data Analytics, Agile Project Management, Machine Learning, Hacking - A Four Book Bundle
- De: Robert Keane
- Narrado por: Mike Davis
- Duración: 5 h y 45 m
- Versión completa
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General
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Narración:
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Historia
If your business is like most, it is already generating a staggering amount of data on a regular basis. Understanding what this data truly means is key to succeeding in the marketplace these days and if you are looking for a way to give yourself an edge then Data Analytics is the book you have been waiting for.
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Basic info for beginners
- De Justin en 01-30-18
- Data Analytics
- Data Analytics, Agile Project Management, Machine Learning, Hacking - A Four Book Bundle
- De: Robert Keane
- Narrado por: Mike Davis
[good, good, good, bad]
Revisado: 02-07-18
What made the experience of listening to Data Analytics the most enjoyable?
Data analytics: good 101
Agile project management: great 101
Machine learning: good 101, statistics was a bit hard to get in audio format
Any additional comments?
Hacking: This book seems to me like a unfinished compilation of old and new chapters. There are multiple inaccuracies using "always" and "newer". Tips for removing Trojan horse is strange. Password tips are bad. The explanation of rainbow-tables is confusing. The example code is a good thing and work OK in audio format. I have respect for the attempt of generalizing and keeping crypto-details out.
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esto le resultó útil a 1 persona