Data Analysis with Python: Zero to Pandas

Course Overview

• Title: Data Analysis with Python: Zero to Pandas
• Offered by: Jovian.ml in collaboration with FreeCodeCamp
• Duration: 5 weeks
• Live Lectures: 2 hours weekly in English and Hindi
  • English: 9 PM - 11 PM IST, Saturdays
  • Hindi: 11 AM - 1 PM IST, Saturdays
• Certification: Requires registration at zero to pandas.com; exercises and materials available for free on YouTube and other platforms.

Instructor

• Name: Akash
• Qualifications:
  • Co-founder and CEO of Jovian.ml
  • Former Software Engineer at Twitter
  • Computer Science degree from IIT Bombay
  • ACM ICPC World Finalist

Course Structure

• Focus: Coding-first introduction to data analysis using Python
• Methodology:
  • Minimal theory, emphasis on live coding
  • Use of cloud-based Jupyter notebooks
  • Assignments and exercises provided

Course Curriculum

1. Lecture 1: Introduction to programming with Python

   • Basics of Python for data analysis
   • Python's ease of use and versatility

2. Lecture 2: Numerical computation using NumPy

   • Statistical functions: mean, median, mode, etc.

3. Lecture 3: Tabular data analysis with Pandas

   • Working with tabular data similar to spreadsheets
   • Efficiency and power of Pandas over Excel

4. Lecture 4: Data visualization with Matplotlib and Seaborn

   • Various types of graphs: line, bar, heat maps
   • Understanding which graph to use and when

5. Lecture 5: Exploratory Data Analysis (EDA)

   • Case study with a real-world dataset
   • Question formulation and tool identification

Assignments and Projects

• Weekly Assignments: Enhance learning through practice
• Course Project: An end-to-end project on a dataset chosen by you
• Community Participation: Encouraged to interact and collaborate
• Academic Honesty: No plagiarism; give credit to sources

Learning Strategy

• Watch Lecture Videos: Engage with content weekly
• Experiment with Code: Practice post-lecture
• Community Engagement: Discuss and help others
• Complete Exercises: Reinforce concepts

Tools and Platforms

• Jovian.ml: Sharing and collaboration platform
• FreeCodeCamp.org: Free coding education
• Jupyter Notebooks: Interactive coding environment

Getting Started

• Course Page: zero to pandas.com for materials, schedule, and community links
• Jupyter Notebook Interface: Used for coding tutorials and exercises
  • Commands: pip install jovian, import jovian, jovian.commit
• Markdown: Used for text formatting in notebooks

Python Basics Covered

• Arithmetic Operations: Addition, subtraction, multiplication, etc.
• Variables: Naming conventions and reassignments
• Conditions: Logical operations and boolean evaluations
• Strings: Creation, manipulation, and methods
• Data Types: int, float, bool, none, str, list

Tips for Success

• Engage with the Community: Ask and answer questions
• Practice Regularly: Reinforce learning through assignments and exercises
• Use Jovian: For saving and sharing your work
• Explore Beyond Lectures: Experiment with code snippets and examples