More Python Tips, Tricks, and Techniques for Data Science
With Harshit Tyagi
Liked by 208 users
Duration: 1h 58m
Skill level: Intermediate
Released: 10/1/2020
Course details
The power and versatility of Python—coupled with its large ecosystem of third-party packages—make it indispensable to data scientists. In this course, instructor Harshit Tyagi shares practical tips and techniques that can help you enhance your own Python data science workflow. Harshit covers how to work with IPython notebooks, including how to debug errors. He shows how to use NumPy to manipulate arrays, as well as how to work with pandas, the data manipulation and analysis tool. He provides tips for visualizing your data with Matplotlib, explaining how to add text to plots and annotate elements on a chart. Plus, get best practices for working with scikit-learn, as well as other machine learning tips.
Skills you’ll gain
Meet the instructor
Learner reviews
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Hafsa Usmani
Hafsa Usmani
AI, ML, Data Science , HAMDARD UNIVERSITY, NED UNIVERSITY , INSTITUTE OF APPLIED TECHNOLOGY ,UAE. TQUK LEVEL 3 AET, NCFE LEVEL 3 CAVA, UK, OFQUAL…
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Adrian Coleman
Adrian Coleman
Field Officer at fire ant program
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Khaled_M_Ali Aklan Albanna
Khaled_M_Ali Aklan Albanna
I.T. Consultant at YBRD | Intelligent systems developer and analyst
Contents
What’s included
- Practice while you learn 2 exercise files
- Test your knowledge 4 quizzes
- Learn on the go Access on tablet and phone
- Stay up to date Continuing Education Units