Learn Python: Your First Step Toward Data Science [Video]

By Colibri Ltd
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About this video

Python is one of the top languages today and is very popular with data scientists and data analysts. Whether you're a novice or an expert, this course will help you take the next step to becoming a data scientist.

This fast-paced, action-packed course will maximize your time; it's designed from the ground up to familiarize you with the basics of Python, so you can pursue your data science dreams. With this course, you will be up-and-running with Python data science in minimal time, helping you prove your value and expertise today and build your CV and skill set for tomorrow.

This course will get you up-to-speed with using Python, without resorting to a collection of disconnected, unrelated pieces of information. Thus, you can take the next step toward advancing your career in data science.

Please note: although no prior familiarity with Python is needed before taking this course, basic programming knowledge will be beneficial.

The code bundle for this course is available at - https://github.com/PacktPublishing/-Python-Your-First-Step-Toward-Data-Science-V-

Publication date:
April 2019
Publisher
Packt
Duration
2 hours 25 minutes
ISBN
9781788994415

About the Author

  • Colibri Ltd

    Gregory Guy is an instructor is a qualified broadcast engineer and has been teaching Java programming since 2000. His programming experience started back in college when he was taught to program in assembler language and C. When he entered the Television industry, he did programming in assembler and C, then turned to Object Oriented programming, moving on to use C++ and Java. He has been teaching Java since 2000. Teaching is his passion, so it has never been just a job but a hobby as well. Soccer happens to be a great passion of his too. Colibri Digital is a technology consultancy company founded in 2015 by James Cross and Ingrid Funie. The company works to help its clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas such as big data, data science, machine learning, and cloud computing.

    Browse publications by this author

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