Learning Path: From Python Programming to Data Science

About Learning Path: From Python Programming to Data Science

Python has become the language of choice for most data analysts/data scientists to perform various tasks of data science. _If you’re looking forward to implementing Python in your data science projects to enhance data discovery, then this is the perfect Learning Path is 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. Packt’s Video Learning Paths are a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it. 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 understand the

data visualization concepts

better, learn how to apply them and overcome any challenges that you might face 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 a brief introduction to

TensorFlow

. _By the end of the Learning Path, you’ll be able to improve the efficiency of your data science projects using Python._

Meet Your Experts:

We have combined the best works of the following esteemed authors to ensure that your learning journey is smooth:

Daniel Arbuckle

got his Ph.D. in Computer Science from the University of Southern California.

Benjamin Hoff

spent 3 years working as a software engineer and team leader doing graphics processing, desktop application development, and scientific facility simulation using a mixture of C++ and Python.

Dimitry Foures

is a data scientist with a background in applied mathematics and theoretical physics.

Giuseppe Vettigli

is a data scientist who has worked in the research industry and academia for many years.

Igor Milovanović

is an experienced developer, with strong background in Linux system knowledge and software engineering education.

Prateek Joshi

is an artificial intelligence researcher, published author of five books, and TEDx speaker.

Eder Santana

is a PhD candidate on Electrical and Computer Engineering. His thesis topic is on Deep and Recurrent neural networks.