Using Data Science Tools in Python

In this course, you will use various Python tools to load, analyze, manipulate, and visualize business data.

You will:

• Set up a Python data science environment.
• Manage and analyze data with NumPy arrays.
• Manipulate and modify data with NumPy arrays.
• Manage and analyze data with pandas DataFrames.
• Manipulate, modify, and visualize data with pandas DataFrames.
• Visualize data with Matplotlib and Seaborn.

Lesson 1: Setting Up a Python Data Science Environment

Topic A: Select Python Data Science Tools

Topic B: Install Python Using Anaconda

Topic C: Set Up an Environment Using Jupyter Notebook

Lesson 2: Managing and Analyzing Data with NumPy

Topic A: Create NumPy Arrays

Topic B: Load and Save NumPy Data

Topic C: Analyze Data in NumPy Arrays

Lesson 3: Transforming Data with NumPy

Topic A: Manipulate Data in NumPy Arrays

Topic B: Modify Data in NumPy Arrays

Lesson 4: Managing and Analyzing Data with pandas

Topic A: Create Series and DataFrames

Topic B: Load and Save pandas Data

Topic C: Analyze Data in DataFrames

Topic D: Slice and Filter Data in DataFrames

Lesson 5: Transforming and Visualizing Data with pandas

Topic A: Manipulate Data in DataFrames

Topic B: Modify Data in DataFrames

Topic C: Plot DataFrame Data

Lesson 6: Visualizing Data with Matplotlib and Seaborn

Topic A: Create and Save Simple Line Plots

Topic B: Create Subplots

Topic C: Create Common Types of Plots

Topic D: Format Plots

Topic E: Streamline Plotting with Seaborn