Foundations of Data Analytics with Python

Welcome to the Foundations of Data Analytics with Python course! This repository contains all the materials you'll need to follow along with the course. Each week is structured with its own set of instructions, hands-on labs, and additional resources to guide your learning. The course is designed and taught by Sahil Chawla.

Course Structure

The course runs over four weeks, with one session per week, beginning on Wednesday, 16 October 2024. Each session includes theoretical explanations, hands-on practical examples, and regular pop quizzes to assess understanding of the topics covered.

Course Timeline

• 16 Oct - Week 1: Python Programming Basics (Variables, Input/Output, Conditional Statements)

• 23 Oct - Week 2: Functions, Loops, Modules, Data Structures in Python

• Oct 30 - Week 3: Data Analytics & Visualization - Introduction to Pandas, NumPy for data manipulation

• Nov 06 - Week 4: Data Analytics & Visualization - Using Matplotlib for data visualization and insights

• Assessment:

  • An assessment will be released after Week 3.
  • Due date: 12th November.
  • The assessment should take around 2 hours to complete.
  • Grades will be provided by 30th November.
  • Submit the assessment by the due date to be eligible for the certificate!

Certificate Eligibility

To receive a certificate of completion, you must meet the following criteria:

1. Attend at least 3 out of the 4 sessions (75% attendance).
2. Complete the assessment and achieve a grade of 80% or higher.

Using the Colab/Jupyter Notebooks

All the hands-on labs are provided as Jupyter notebooks that can be run in Google Colab. Here’s how to use them:

1. Navigate to the appropriate week folder (e.g., week_1) to view the presentation and the summary of the week.
2. Locate the .ipynb file in the home page (e.g., Week_1_&_2_Basics_of_Python.ipynb) for the specific content.

• Find the open in colab button at the top of the notebook
• Click that to open the notebook in colab

3. Open a notebook in Google Colab by following these steps:

• Go to Google Colab at colab.research.google.com.
• Click on File > Open Notebook.
• Select the GitHub tab and enter your repository's URL.
• Browse to the notebook file you want to open and click on it.

4. Run each cell by clicking on the play button next to it.