Using Data Science Tools in Python
In this course, you will use various Python tools to load, analyze, manipulate, and visualize business data.
Description
Course Objectives
In this course, you will use various Python tools to load, analyze, manipulate, and visualize business data. After completing this course, students will be able to:
- 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.
Course Outline
Lesson 1: Setting Up a Python Data Science Environment
- Select Python Data Science Tools
- Install Python Using Anaconda
- Set Up an Environment Using Jupyter Notebook
Lesson 2: Managing and Analyzing Data with NumPy
- Create NumPy Arrays
- Load and Save NumPy Data
- Analyze Data in NumPy Arrays
Lesson 3: Transforming Data with NumPy
- Manipulate Data in NumPy Arrays
- Modify Data in NumPy Arrays
Lesson 4: Managing and Analyzing Data with Pandas
- Create Series and DataFrames
- Load and Save Pandas Data
- Analyze Data in DataFrames
- Slice and Filter Data in DataFrames
Lesson 5: Transforming and Visualizing Data with Pandas
- Manipulate Data in DataFrames
- Modify Data in DataFrames
- Plot DataFrame Data
Lesson 6: Visualizing Data with Matplotlib and Seaborn
- Create and Save Simple Line Plots
- Create Subplots
- Create Common Types of Plots
- Format Plots
- Streamline Plotting with Seaborn