Start your journey to become a Data Science practitioner using Python
About This Video
Easy to follow guide that will take you from being a beginner to a regular data science task
Get solutions to your common and not-so-common data science problems.
Highly Practical, real world examples that make data science your comfort zone.
Python is a popular programming language ,widely used in many scenarios and easy to use to use. Data Science is an interdisciplinary field that employs techniques to extract knowledge from data. As one of the fast growing fields in technology, the interest for Data Science is booming, and the demand for specialized talent is on the rise.
This course introduces the audience to the field of Data Science using Python tools to manage and analyze data. You can learn some of the fundamental tools of the trade and apply them to real data problems. And along the way it discusses the use of Python stack for data analysis and scientific computing, and expands on concepts of data acquisition, data cleaning, data analysis and machine learning.
This course uses Python 3.6, while not the latest version available, it provides relevant and informative content for legacy users of Python.
Table of contents
- Chapter 1 : Python Core
- Chapter 2 : NumPy for Array Computation
- Chapter 3 : Pandas for Data Frames
- Chapter 4 : Exercise – Titanic Survivor Analysis
- Title: Data Analysis with Python
- Release date: April 2017
- Publisher(s): Packt Publishing
- ISBN: 9781788290548
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