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Intermediate Python

Beginner

4.6+

Updated 01/2025

Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.

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PythonProgramming4 hours18 videos87 exercises7,400 XP1,174,901Statement 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 Python

2

Dictionaries & Pandas

Dictionaries, Part 1

Motivation for dictionaries

Create dictionary

Access dictionary

Dictionaries, Part 2

Dictionary Manipulation (1)

Dictionary Manipulation (2)

Dictionariception

Pandas, Part 1

Dictionary to DataFrame (1)

Dictionary to DataFrame (2)

CSV to DataFrame (1)

CSV to DataFrame (2)

Pandas, Part 2

Square Brackets (1)

Square Brackets (2)

loc and iloc (1)

loc and iloc (2)

loc and iloc (3)

3

Logic, Control Flow and Filtering

Comparison Operators

Greater and less than

Compare arrays

Boolean Operators

and, or, not (1)

and, or, not (2)

Boolean operators with NumPy

if, elif, else

Customize further: elif

Filtering pandas DataFrames

Driving right (1)

Driving right (2)

Cars per capita (1)

Cars per capita (2)

4

Loops

while: warming up

Basic while loop

Add conditionals

Loop over a list

Indexes and values (1)

Indexes and values (2)

Loop over list of lists

Loop Data Structures Part 1

Loop over dictionary

Loop over NumPy array

Loop Data Structures Part 2

Loop over DataFrame (1)

Loop over DataFrame (2)

Add column (1)

Add column (2)

5

Case Study: Hacker Statistics

Random Numbers

Random float

Roll the dice

Determine your next move

Random Walk

The next step

How low can you go?

Visualize the walk

Distribution

Simulate multiple walks

Visualize all walks

Implement clumsiness

Plot the distribution

Calculate the odds

Intermediate Python

Course
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*4.6

from 795 reviews

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Top reviews

John M.

2 days

A very good start to learning Python

Ricardo C.

2 days

I was very impressed with the dynamics of the course and the possibility of immediately applying the topics learned. It makes learning much easier for those who don't have much time to study.

Vigneswaran R.

2 days

Excellent 👍 Enjoyed the show .

Lim Y.

3 days

Easy to understand concepts

Emily F.

3 days

It was a great course, it was easy to understand. however I wish we had more practice questions. I'm someone who has to do things more than once to really get a feel of it.

"A very good start to learning Python"

John M.

"I was very impressed with the dynamics of the course and the possibility of immediately applying the topics learned. It makes learning much easier for those who don't have much time to study."

Ricardo C.

"Excellent 👍 Enjoyed the show ."

Vigneswaran R.

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