Python 101: Introduction to Python

Instructor: Dartanion Williams

Included with

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5 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

5 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

How to set up a Python development environment and write Python programs using variables, data types, conditional logic, and loops
How to use Python data structures including lists, tuples, sets, and dictionaries to store and manipulate data
How to write Python functions and use the Pandas library to load, clean, transform, and process real-world datasets

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There are 5 modules in this course

This course introduces the Python programming language to absolute beginners through energetic, hands-on instruction that makes coding fun and approachable. Organized across four modules; Welcome to Python, Python Foundations, Introduction to Programming, and Data Processing with Python. The course builds programming foundations through real-world applications using Python's most useful libraries.

Learners benefit by gaining practical programming skills that are immediately applicable in data analysis, automation, and software development roles. From setting up a Python environment and writing first programs to working with data structures, writing functions, and processing data with Pandas, this course provides a complete introduction to Python's capabilities. By the end of this course, learners will be able to write Python programs that use variables, conditionals, loops, functions, and Pandas DataFrames to solve real-world data processing problems.

In this chapter, you explore how Python is used to solve real-world problems, learn to install and run it effectively, build a foundation in its core syntax and data types, and create your first programs using control flow, regular expressions, and essential development tools.

What's included

3 videos3 readings1 assignment

3 videosTotal 11 minutes

Introduction1 minute
Introduction to Python and Programming7 minutes
Setting Up Python3 minutes

3 readingsTotal 22 minutes

How to Install Python and Create a Virtual Environment Document Virtual Enviroment Document Chapter 1 Document Chapter 2 Document Chapter 3 Document Chapter 3 Account Balancing Document Python Glossary PDF5 minutes
Python Glossary2 minutes
Optional Lab Assignment File15 minutes

1 assignmentTotal 10 minutes

Welcome to Python10 minutes

What's included

2 videos1 reading1 assignment

In this chapter, you build on your Python foundation by mastering loops, core data structures like lists, tuples, sets, and dictionaries, and advanced techniques such as nested collections and list comprehensions to create more dynamic, efficient, and real‑world‑ready programs.

What's included

4 videos1 reading1 assignment

In this chapter, you learn how Python functions, pandas data analysis tools, DataFrames, and user‑input validation work together to create flexible, efficient, and user‑friendly programs for real‑world applications.

What's included

4 videos1 assignment

Final graded assessment

What's included

1 assignment

Instructor

Dartanion Williams

Total Seminars

1 Course3 learners

Offered by

Total Seminars

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