Using Data Science Tools in Python
Description
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