Python For Beginners 2025

Unlock the Power of Data for Career Growth with Python

What you'll learn

A data analytics course will equip students with the skills to collect, process, analyze, and interpret data to derive meaningful insights and support .

Determine the project scope. Confirm data availability needed for the project. Define high-level tasks and sum the estimated time for each task.

Enterprise risk management brings together executive-level risk owners to manage the entire scope of an organization's risks more effectively.

Case Study: Managing a Data Analytics Project from Conception to Completion 1. Project Conception:

Requirements

list the required skills, experience, tools or equipment learners should have prior to taking your course. If there are no requirements, use this space as an opportunity to lower the barrier for beginners give short type

Description

Python is one of the most powerful, flexible, and beginner-friendly programming languages used in various fields such as web development, data science, artificial intelligence, automation, and software development. This course is designed to provide learners with a solid foundation in Python programming, starting from the basics and gradually moving to advanced concepts.Students will begin by learning the fundamentals of Python, including variables, data types, operators, conditional statements, loops, and functions. They will then explore collections such as lists, tuples, sets, and dictionaries to handle and organize data effectively. The course also covers file handling, error handling, and the use of modules and packages to write efficient and reusable code.In addition, learners will gain an understanding of object-oriented programming (OOP) concepts such as classes, objects, inheritance, and polymorphism. The course also introduces popular Python libraries like NumPy and Pandas for data manipulation, as well as simple data visualization techniques.By the end of this course, students will be able to write clean and efficient Python code, solve real-world problems, and build small projects. This course is suitable for beginners as well as those who want to strengthen their programming skills and apply Python in practical scenarios and data visualization techniques.

Overview

Section 1: Introduction

Lecture 1 how to install and setup for python code run

Section 2: python programing part 2

Lecture 2 how run python code

Section 3: python programing part 3

Lecture 3 part 3

Section 4: python programing part 4

Lecture 4 python programing tutorial part 4th

Section 5: python programing part

Lecture 5 python programing tutorial partn 5th

**Intended Learners for This Course:** This course is designed for anyone eager to learn, regardless of prior experience. It is ideal for: * Beginners who want to start from scratch and build a strong foundation. * Students or professionals looking to gain new skills for personal or career growth. * Hobbyists and lifelong learners interested in exploring new topics in a simple, structured way. * Anyone seeking flexible, easy-to-follow lessons that fit into a busy schedule. Whether you are just starting your learning journey or aiming to strengthen your skills, this course will provide valuable, practical knowledge in an engaging and beginner-friendly format.