Course
Intermediate Python
Beginner
Updated 04/2025Start Course for Free
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PythonProgramming4 hours18 videos87 Exercises7,400 XP1,215,499Statement of Accomplishment
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Course Description
Improve Your Python Skills
Learning Python is crucial for any aspiring data science practitioner. Learn to visualize real data with Matplotlib’s functions and get acquainted with data structures such as the dictionary and pandas DataFrame. This four-hour intermediate course will help you to build on your existing Python skills and explore new Python applications and functions that expand your repertoire and help you work more efficiently.Learn to Use Python Dictionaries and pandas
Dictionaries offer an alternative to Python lists, while the pandas dataframe is the most popular way of working with tabular data. In the second chapter of this course, you’ll find out how you can create and manipulate datasets, and how to access them using these structures. Hands-on practice throughout the course will build your confidence in each area.Explore Python Boolean Logic and Python Loops
In the second half of this course, you’ll look at logic, control flow, filtering and loops. These functions work to control decision-making in Python programs and help you to perform more operations with your data, including repeated statements. You’ll finish the course by applying all of your new skills by using hacker statistics to calculate your chances of winning a bet.Once you’ve completed all of the chapters, you’ll be ready to apply your new skills in your job, new career, or personal project, and be prepared to move onto more advanced Python learning.
Prerequisites
Introduction to Python1
Matplotlib
2
Dictionaries & Pandas
3
Logic, Control Flow and Filtering
4
Loops
5
Case Study: Hacker Statistics
Intermediate Python
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