Course Description

Course Description

Today, we are surrounded by vast amounts of data, both structured (e.g., tables, worksheets) and unstructured (e.g., free text fields, social media comments). Data can also be a by-product of day-to-day transactions, like receipts from supermarket purchases. These receipts contain valuable information such as the date, location, products, unit costs, and quantities.

Key questions include:

  1. How can we further increase our revenue with the data we have?
  2. How can we predict customer purchasing behavior?
  3. How can we identify necessary products that a customer might buy based on previous purchases?

Data is the core of AI models, which use data inputs for training, testing, and learning. Machine Learning enables computers to make predictions and provide suggestions based on input data. For instance, AI models can predict a customer's next purchase based on historical data.

Join our Python Tutorials for Beginners to take your first step towards Data Science. Learn the basics of Python, which is essential for working with data and building AI models.

Course Objectives:

  • Understand the basic functionality of Python.

Learning Outcomes:

  1. How to install and configure Python.
  2. Python Functions and Class Objects.
  3. Data Types - Strings and Numerics.
  4. Python Data Structures - Lists and Dictionaries.

Enroll now and start your journey in Python programming and Data Science!