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Foundational Python for Data Science

Python language has been around for a long time and has worn many hats. Its applications include everything from web development, to film, government, science, and business. You can gain a hands-on experience in Python for Data Science with uCertify’s course Foundational Python for Data Science. This course will not teach the Python needed to set up a web page or perform system administration. It is also not intended to teach you Data Science, but rather the Python needed to learn Data Science. It has well-descriptive interactive lessons containing knowledge checks, quizzes, flashcards, and glossary terms to get a detailed understanding of Python needed to learn Data Science.
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Test Prep
36+ Pre Assessment Questions | 2+ Full Length Tests | 37+ Post Assessment Questions | 74+ Practice Test Questions
Features

Why choose TOPTALENT?

Outline

Lessons 1:
Introduction

  • About This eBook

Lessons 2:
Introduction to Notebooks

  • Running Python Statements
  • Jupyter Notebooks
  • Google Colab
  • Summary
  • Questions

Lessons 3:
Fundamentals of Python

  • Basic Types in Python
  • Performing Basic Math Operations
  • Using Classes and Objects with Dot Notation
  • Summary
  • Questions

Lessons 4:
Sequences

  • Shared Operations
  • Lists and Tuples
  • Strings
  • Ranges
  • Summary
  • Questions

Lessons 5:
Other Data Structures

  • Dictionaries
  • Sets
  • Frozensets
  • Summary
  • Questions

Lessons 6:
Execution Control

  • Compound Statements
  • if Statements
  • while Loops
  • for Loops
  • break and continue Statements
  • Summary
  • Questions

Lessons 7:
Functions

  • Defining Functions
  • Scope in Functions
  • Decorators
  • Anonymous Functions
  • Summary
  • Questions

Lessons 8:
NumPy

  • 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

Lessons 9:
SciPy

  • SciPy Overview
  • The scipy.misc Submodule
  • The scipy.special Submodule
  • The scipy.stats Submodule
  • Summary
  • Questions

Lessons 10:
Pandas

  • About DataFrames
  • Creating DataFrames
  • Interacting with DataFrame Data
  • Manipulating DataFrames
  • Manipulating Data
  • Interactive Display
  • Summary
  • Questions

Lessons 11:
Visualization Libraries

  • matplotlib
  • Seaborn
  • Plotly
  • Bokeh
  • Other Visualization Libraries
  • Summary
  • Questions

Lessons 12:
Machine Learning Libraries

  • Popular Machine Learning Libraries
  • How Machine Learning Works
  • Learning More About Scikit-learn
  • Summary
  • Questions

Lessons 13:
Natural Language Toolkit

  • NLTK Sample Texts
  • Frequency Distributions
  • Text Objects
  • Classifying Text
  • Summary
  • Questions

Lessons 14:
Functional Programming

  • Introduction to Functional Programming
  • List Comprehensions
  • Generators
  • Summary
  • Questions

Lessons 15:
Object-Oriented Programming

  • Grouping State and Function
  • Special Methods
  • Inheritance
  • Summary
  • Questions

Lessons 16:
Other Topics

  • Sorting
  • Reading and Writing Files
  • datetime Objects
  • Regular Expressions
  • Summary
  • Questions