Video description
Take your data analytics and predictive modeling skills to the next level using the popular tools and libraries in Python
About This Video
Aimed for the beginner, this course contains in one place all you need to start analyzing data with Python
Learn the foundations for doing Data Science and Predictive Analytics with Python through real-world examples
Learn how ask questions and answer them effectively with the most widely used visualization and data analysis techniques
In Detail
The Python programming language has become a major player in the world of Data Science and Analytics. This course introduces Python’s most important tools and libraries for doing Data Science; they are known in the community as "Python’s Data Science Stack".
This is a practical course where the viewer will learn through real-world examples how to use the most popular tools for doing Data Science and Analytics with Python.
Who this book is for
Data analysts or data scientists interested in learning Python’s tools for doing Data Science. Business Analysts and Business Intelligence experts who would like to learn how to use Python for doing their data own analysis tasks will also find this tutorial very helpful. Software engineers and developers interested in Python’s capabilities for analyzing data gain a lot from this course. A basic (beginner’s level) familiarity with Python language is assumed.
Publisher resources
Table of contents
- Chapter 1 : The Anaconda Distribution and the Jupyter Notebook
- Chapter 2 : Vectorizing Operations with NumPy
- Chapter 3 : Pandas: Everyone’s Favorite Data Analysis Library
- Chapter 4 : Visualization and Exploratory Data Analysis
- Chapter 5 : Statistical Computing with Python
- Chapter 6 : Introduction to Predictive Analytics Models
Product information
- Title: Become a Python Data Analyst
- Author(s):
- Release date: May 2017
- Publisher(s): Packt Publishing
- ISBN: 9781787284302
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