.jpg){kind=logo}
PYTHON-DS.AP1.E0T
Foundational Python for Data Science Course
Self-paced · 1 year access
01 / Lessons & labs
See exactly what you will learn and practice
Lessons
16 Interactive Lessons · 94 topics01 Introduction 1 topics +
- About This eBook
02 Introduction to Notebooks 5 topics +
- Running Python Statements
- Jupyter Notebooks
- Google Colab
- Summary
- Questions
03 Fundamentals of Python 5 topics +
- Basic Types in Python
- Performing Basic Math Operations
- Using Classes and Objects with Dot Notation
- Summary
- Questions
04 Sequences 6 topics +
- Shared Operations
- Lists and Tuples
- Strings
- Ranges
- Summary
- Questions
05 Other Data Structures 5 topics +
- Dictionaries
- Sets
- Frozensets
- Summary
- Questions
06 Execution Control 7 topics +
- Compound Statements
- if Statements
- while Loops
- for Loops
- break and continue Statements
- Summary
- Questions
07 Functions 6 topics +
- Defining Functions
- Scope in Functions
- Decorators
- Anonymous Functions
- Summary
- Questions
08 NumPy 11 topics +
- Installing and Importing NumPy
- Creating Arrays
- Indexing and Slicing
- Element-by-Element Operations
- Filtering Values
- Views Versus Copies
- Some Array Methods
- Broadcasting
- NumPy Math
- Summary
- Questions
09 SciPy 6 topics +
- SciPy Overview
- The scipy.misc Submodule
- The scipy.special Submodule
- The scipy.stats Submodule
- Summary
- Questions
10 Pandas 8 topics +
- About DataFrames
- Creating DataFrames
- Interacting with DataFrame Data
- Manipulating DataFrames
- Manipulating Data
- Interactive Display
- Summary
- Questions
11 Visualization Libraries 7 topics +
- matplotlib
- Seaborn
- Plotly
- Bokeh
- Other Visualization Libraries
- Summary
- Questions
12 Machine Learning Libraries 5 topics +
- Popular Machine Learning Libraries
- How Machine Learning Works
- Learning More About Scikit-learn
- Summary
- Questions
13 Natural Language Toolkit 6 topics +
- NLTK Sample Texts
- Frequency Distributions
- Text Objects
- Classifying Text
- Summary
- Questions
14 Functional Programming 5 topics +
- Introduction to Functional Programming
- List Comprehensions
- Generators
- Summary
- Questions
15 Object-Oriented Programming 5 topics +
- Grouping State and Function
- Special Methods
- Inheritance
- Summary
- Questions
16 Other Topics 6 topics +
- Sorting
- Reading and Writing Files
- datetime Objects
- Regular Expressions
- Summary
- Questions
02 / FAQs
Questions before you start
Keep going
You might also like
Prepare for Foundational Python for Data Science Course
One-time payment. Full access for 1 year. Start with a free trial if you want to look around first.