Course Duration: 2-3 hours

Course Description: This short course is designed to introduce you to the world of data analysis using Jupyter Notebook, a popular tool among data professionals. You'll learn the fundamental concepts and skills needed to start your journey as a data analyst. Whether you're new to data analysis or looking to refresh your skills, this course is a budget-friendly option for you.

Course Outline:

Module 1: Getting Started with Jupyter Notebook

• Introduction to Jupyter Notebook

• Installing Jupyter Notebook

• Creating your first Jupyter Notebook

Module 2: Python Basics for Data Analysis

• Introduction to Python programming

• Variables, data types, and basic operations

• Python libraries for data analysis (NumPy and Pandas)

Module 3: Data Import and Manipulation

• Loading data into Jupyter Notebook

• Exploring and cleaning data with Pandas

• Data visualization using Matplotlib and Seaborn

Module 4: Data Analysis and Statistics

• Basic statistical concepts

• Descriptive statistics

• Hypothesis testing and statistical inference

Module 5: Sharing Your Analysis

• Exporting your Jupyter Notebook

• Communicating your findings effectively