Problem Solving with Pandas, Numpy(without concept explanation)

This course introduces the fundamentals of data analysis using Python. We will cover core concepts in NumPy and pandas, focusing on how to manipulate, analyze, and interpret data. Learners will actively engage by solving problems together during the session and applying concepts step by step.

This series focuses on learning basic algorithmic thinking with the help of AI, rather than teaching programming syntax. Learners will practice understanding simple problems, designing step-by-step logic, and reasoning about solutions, while AI is used as a guide for hints, explanations, and checking thinking. C++ is used only as a tool to express ideas, not as the main subject of instruction. No prior programming experience is required.

This session covers C++ basics from the ground up, including variables, conditions, loops, and simple problem-solving. Learners will actively participate by writing small pieces of code together and asking questions through chat at any time. No prior experience is required. For learner convenience, this series is offered in repeated time slots. Sessions are grouped into identical-content pairs (e.g., Sessions 1 & 2, Sessions 3 & 4), and this pairing pattern continues throughout the series. Learners only need to attend one session per pair.

In this series, we will learn how to approach and solve programming problems step by step. We will practice breaking problems down and applying simple algorithmic ideas. All examples will be implemented in C++, but no prior algorithm experience is required.

This session is designed for beginners who are new to programming. We will focus on the fundamentals of Python, including basic syntax, variables, conditionals, loops, and simple input/output. No prior programming experience is required. The session will also include very basic problem-solving exercises to help participants practice and understand core concepts. The goal of this session is to help participants build a strong foundation and gain confidence in reading and writing simple Python code.

We will study Python fundamentals through hands-on coding, problem solving, and interactive discussions, encouraging active participation and collaborative learning throughout each session.