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Introduction to Data Analysis with Jupyter Notebook

  • Course
  • 13 Lessons

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 
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Contents

Introduction to Data Analysis with Jupyter Notebook

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

Module 1: Getting Started with Jupyter Notebook
Module 2: Python Basics for Data Analysis
Module 3: Data Import and Manipulation
Module 4: Data Analysis and Statistics
Module 6: Sharing Your Analysis
If you want to run on your System - Installing Jupyter Get up and running on your computer
Module 1 Getting Started with Jupyter Notebook.ipynb
Module 2 Python Basics for Data Analysis.ipynb
Module 3 Data Import and Manipulation.ipynb
Module 4 Data Analysis and Statistics..ipynb
Module 5 Sharing Your Analysis.ipynb
sample_data.csv
Run Jupyter Notebook