Python Data Analysis with Jupyter Notebook – Beginner’s Practical Course

Description

Learn Python Data Analysis with Jupyter Notebook – From Zero to Insight

This beginner-friendly digital course teaches you how to work with Python and Jupyter Notebook for practical data analysis and visualization. Whether you’re a student, aspiring data scientist, or tech enthusiast, this course gives you the foundation to clean, analyze, and visualize real-world data using tools used by professionals.

You’ll start by understanding the Python environment, installing and running Jupyter Notebook, and exploring its interface and key components. Then, you’ll dive into real data using Pandas — learning how to explore, manipulate, and clean datasets.

Using hands-on examples like us_baby_names.csv and listings.csv, you’ll build the confidence to perform real data analysis and generate meaningful insights.

What You’ll Learn:

• What Python is and how it works

• Installing and running Jupyter Notebook Server

• Navigating the Notebook Dashboard & Interface

• Creating and managing Jupyter Notebooks

• Exploring and manipulating tabular data with Pandas

• Cleaning raw data for better analysis

• Visualizing both qualitative and quantitative data

• Working with public datasets (Kaggle included)

Course Highlights:

• Beginner-friendly & practical

• Step-by-step environment setup

• Real datasets included

• Hands-on data analysis with Python

• Visualizations that make sense

• Digital download with lifetime access

Perfect For:

• Beginners in data science

• Python learners

• Students and researchers

• Anyone looking to start data analysis

• Entrepreneurs interested in data-driven decisions

Product Format:

Video Lessons + Dataset Files + Resource Guide (Digital Download)