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Training Library
Data Science
Practical Data Science with Python
learning path
Practical Data Science with Python
This course explores the world of data science and gives you hands-on, practical tutorials on how to use Python at an advanced level.
Advanced
Difficulty: Advanced
Up to 13h 32m
Duration: Up to 13 hours and 32 minutes
3,546
Students: 3,546
3.9/5
Rating: 3.9/5
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Content overview
About
Author
Content overview
9 steps
There are 5 Courses in this learning path
5
There are 3 Hands-on Labs in this learning path
3
There is 1 Exam in this learning path
1
Difficulty: Intermediate. Duration: 57m 22s.
COURSE
Intermediate
57m 22s
Duration: 57 minutes and 22 seconds
Practical Data Science With Python
This lesson explores what data science is, before moving onto how to use Python in a data science context.
Difficulty: Advanced. Duration: 49m 22s.
COURSE
Advanced
49m 22s
Duration: 49 minutes and 22 seconds
Working with Python
This Lesson explores a variety of Python features in a hands-on way, including functions, loops, dictionaries, and flow control.
Difficulty: Beginner. Duration: Up to 2h.
HANDS-ON LAB
Beginner
Up to 2h
Duration: Up to 2 hours
Practical Data Science: Introduction to Python
This Lab provides you with a Jupyter notebook that introduces you to basic concepts in Python by explaining concepts and letting you write and run Python code.
Difficulty: Advanced. Duration: 59m 2s.
COURSE
Advanced
59m 2s
Duration: 59 minutes and 2 seconds
Statistics and NumPy
This Lesson delves into the theories across the topics of statistics, distributions, and standardization, as well as the NumPy library.
Difficulty: Beginner. Duration: Up to 4h.
HANDS-ON LAB
Beginner
Up to 4h
Duration: Up to 4 hours
Python Development Playground
This Python development playground provides you with a ready-to-use in-browser Python integrated development environment (IDE) to easily play with Python.
Difficulty: Intermediate. Duration: 57m 18s.
COURSE
Intermediate
57m 18s
Duration: 57 minutes and 18 seconds
Working with Pandas
This Lesson explores Pandas and shows you how it can be used as a powerful data manipulation tool.
Difficulty: Beginner. Duration: Up to 2h 30m.
HANDS-ON LAB
Beginner
Up to 2h 30m
Duration: Up to 2 hours and 30 minutes
Using Python to Cleanse and Rationalize Data Challenge
You will put your basic knowledge of Python to work in this lab challenge in order to perform a simple form of data cleansing on text.
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