Video description
According to the latest O’Reilly Data Science Salary Survey, Python is one of the tools that contribute most to a data scientist's salary. If you want to take your Python skills to the next level and perform data analysis, this practical, hands-on learning path will show you how to do vital tasks such as: choosing the correct analytic model for your analytics job; parsing, cleaning and analyzing data using the Python Pandas library; and basic techniques to visualize and present complex data with confidence.
Publisher resources
Table of contents
- Introduction to Data Exploration
- Getting Started
- Visualizing Distributions
- Relationships Between Variables
- Statistical Inference
- Regression
- Modeling Distributions
- Survival Analysis
- Inspection Paradox
- Introduction
- The Basics Of Data Visualization
- Data Vis In Python - matplotlib
- Conclusion
- Introduction
- Getting The Data
- Data Analysis With Pandas
- Cleaning Your Data
- Pandas. More Advanced Functionality
- Other Advanced Data Libraries
- Conclusion
Product information
- Title: Learning Path: Python for Data Analytics
- Author(s):
- Release date: November 2016
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781491977552
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