Basic programming and high-end data science techniques
Python has become the language of choice of data scientists for performing data analysis, visualization, and machine learning. If you’re looking forward to implementing Python in your data science projects to enhance data discovery, then this is the perfect Learning Path for you. Starting out at the basic level, this Learning Path will take you through all the stages of data science in a step-by-step manner.
We begin this journey with nailing down the fundamentals of Python. You’ll be introduced to basic and advanced programming concepts of Python before moving on to data science topics. Then, you’ll learn how to perform data analysis by taking advantage of the core data science libraries in the Python ecosystem. You’ll also get a better understanding of the data visualization concepts, how to apply them, and how you can overcome any challenges while implementing them. Moving ahead, you’ll learn to use a wide variety of machine learning algorithms to solve real-world problems. Finally, you’ll learn deep learning along with an introduction to TensorFlow.
By the end of the Learning Path, you’ll be able to efficiently make use of Python in your data science projects.
Prerequisites: Basic knowledge of any programming language (preferably Python).
Resources: Code downloads and errata:
Mastering Python - Second Edition
Learning Python Data Analysis
Python Data Visualization Solutions
Python Machine Learning Solutions
Deep Learning with Python
This path navigates across the following products (in sequential order):
Mastering Python - Second Edition (5h 21m)
Learning Python Data Analysis (5h 55m)
Python Data Visualization Solutions (3h 27m)
Python Machine Learning Solutions (4h 27m)
Deep Learning with Python (1h 45m)