• Python for Data Analysis

  • A Complete Guide for Beginners, Including Python Statistics and Big Data Analysis
  • By: Computer Science Academy
  • Narrated by: D. Wolf
  • Length: 3 hrs and 5 mins
  • 4.3 out of 5 stars (6 ratings)

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Python for Data Analysis

By: Computer Science Academy
Narrated by: D. Wolf
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Publisher's summary

Are you struggling to figure out which product you should introduce to the market? Or, on how to reach your customers and get them to pay attention to you rather than the competition? Worried about the amount of waste that is going on in your business and how much it is costing you, or many other business problems? Then completing a good data analysis with the help of the Python language may be the right choice for you. Many parts need to come together when working on data analysis. Some of the topics that we need to explore when it comes to working on a Python data analysis will include:

  • What the Python language is all about and how we are able to utilize it to get a lot of coding done
  • A look at the data analysis and how we can benefit, no matter what industry we are
  • How Python is able to work well with the data analysis and why it is the number one language to help you handle this
  • A look at some of the steps that we are able to utilize when it comes to our data analysis so we can get it all done the right way
  • How to install and use the NumPy library, one of the best extensions with Python, to help us get our data analysis done
  • How to work with the Pandas and IPython extensions so that we are able to get things done with your analysis
  • The practical uses of the data analysis to help you get it done
  • A look at the Matplotlib library to help you create some of your own visuals with your data when the analysis is done
  • How to work with data visuals and how they are so important to your work

If you want to learn more about Python for data analysis, then buy this audiobook to get started.

©2020 Computer Science Academy (P)2020 Computer Science Academy

What listeners say about Python for Data Analysis

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I feel this wonderful audiobook

I feel this wonderful audiobook being a natural extension of ageless Practical CS classics by Niklaus Wirth, Kernighan-Ritchie, and B. Stroustrup for Data Science Age.

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This is an excellent

I needed a jump start on python use in data processing for a new job I was starting. I come from the Java world, so major transition. This got me up to speed and I hit the ground running.

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i liked

So far, this audiobook has been an inspiring reading. It contains a huge number of data cleansing, transformation, analysis & etc. code snippets. The code is very clean and - for the most part - self-explaining (at least, for a seasoned software developer).

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this good

The audiobook step by step displays the motivations behind the design and functionality of center-piece Python modules - and you would not expect anything less from the original designer of Pandas.

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written by chatGPT 0.5

circular statments such as "python is a good code language becuse it has the best libraries, which makes it a good code language.

the book is full of nonsensical statments like "python is a clean code base"

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