After doing these courses, I feel confident creating professional visualizations and dashboards
Shoebur RahmanProcurement Specialist, Giz Bangladesh
Course Description
Have you got your basic Python programming chops down but are yearning for more? Then this is the course for you. Herein, you'll consolidate and practice your knowledge of lists, dictionaries, tuples, sets, and date times. You'll see their relevance in working with lots of real data and how to leverage several of them in concert to solve multistep problems, including an extended case study using Chicago metropolitan area transit data. You'll also learn how to use many of the objects in the Python Collections module, which will allow you to store and manipulate your data for a variety of purposes. After taking this course, you'll be ready to tackle many data challenges Pythonically.
Prerequisites
Curriculum
Course outline
1
Fundamental Sequence Data Types
This chapter will introduce you to the fundamental Python data types - lists, sets, and strings. These data containers are critical as they provide the basis for storing and looping over ordered data. To make things interesting, you'll apply what you learn about these types to answer questions about the New York Baby Names dataset!
- Introduction and lists50 XP
- Manipulating lists for fun and profit100 XP
- Looping over lists100 XP
- Meet the tuples50 XP
- Data type usage50 XP
- Using and unpacking tuples100 XP
- Making tuples by accident100 XP
- Strings50 XP
- Formatted String Literals ("f" strings)100 XP
- Combining multiple strings100 XP
- Finding strings in other strings100 XP
2
Dictionaries - The Root of Python
At the root of all things Python is a dictionary. Herein, you'll learn how to use them to safely handle data that can viewed in a variety of ways to answer even more questions about the New York Baby Names dataset. You'll explore how to loop through data in a dictionary, access nested data, add new data, and come to appreciate all of the wonderful capabilities of Python dictionaries.
3
Numeric Data Types, Booleans, and Sets
Let's take a step away from dictionaries and look at some other common numeric and boolean data types along with sets.
4
Advanced Data Types
Some data types are composites of other data types and give me even more capabilities than a fundamental data type. Let's explore a few complex types from the collections module and data classes.
Data Types in Python
Course
Complete
