Introduction to Data Science with Python programming language

In recent years, Python - an open-source, general-purpose, and high-level programming language - has gained immense popularity in data science projects. It's simple and clean syntax, ease of learning, and extensive library ecosystem make it ideal for tasks related to data analysis and manipulation.

What will you learn?

Our course, "Introduction to Data Science with Python Programming Language," encapsulates nearly two decades of analytical expertise within the Python framework. This course is designed for beginners in both Python and data science, offering foundational skills and tools to tackle common business challenges efficiently.

Unlike many other courses, our program emphasizes practical problem-solving over exhaustive coverage of Python syntax. We focus on effectively applying Python to real-world data science issues. 

Topics covered

• Introduction and basic Python elements (Python introduction and demos, Basic data types and control structures)

• Advanced data and control structures in Python

• Mathematical/engineering perspective on structured data processing and visualization (using Numpy and Matplotlib) 

• Data handling from a data analyst's perspective (using Pandas)

• Introduction to machine learning (basics of Regression, Classification, and Segmentation)

Teaching methodology

Our training is structured to ensure rapid and in-depth acquisition of both theoretical and practical knowledge, featuring: 

• Theoretical instruction

• Tests to evaluate comprehension of theoretical concepts

• Code examples with thorough explanations

• Programming tasks, exercises, and solutions to real-world business problems 

Prerequisites

Participants should have basic computer literacy, as well as foundational knowledge of mathematics, statistics, and business experience.