Code Compass Navigate Your Way To Programming Mastery

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Code Compass: Navigate Your Way To Programming Mastery
Published 12/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.39 GB | Duration: 18h 52m​

Your Guide to Unlocking the Fundamentals and Beyond in Coding

What you'll learn
Explain the role of data science in solving real-world problems
Identify key applications of data across industries
Understand how computers process information
Describe the importance of programming and why Python is widely used
Define and use variables in Python
Differentiate between common data types such as integers, floats, strongs, and booleans
Write Python programs that accept and process user input effectively

Requirements
This course is designed for beginners, so no prior coding or programming knowledge is necessary
A positive mindset and eagerness to solve problems and experiement with new concepts

Description
Code Compass: Navigate Your Way to Programming Excellence is your ultimate beginner-friendly guide to building a strong foundation in the fundamentals of Data Science and Python programming. Whther you're completely new to coding or looking to solidify your foundational knowledge, this course has everything you need to kickstart your journey.Together, we'll dive into topics that make programming fun and practical:Introduction to Data Science - Discover the world of Data Science, its applications, and its importance in decision-making and problem-solving across industriesUnderstanding Computers & Python Basics - Explore Python, a powerful yet beginner-friendly language, and understand why its a favorite among programmers and data scientists alike. Variables, Data Types & User Input - The building blocks of any programConditional & Looping Statements - Bring logic and repetition to your codeCollection Data Types - Work with lists, tuples, sets, and distionaries. Functions - Write reusable, clean, and efficient codeBut that's not all! This course goes beyond just theory to ensure you truly understand and apply what you learn. With: Engaging Lessons - Designed to simplify complex concepts and make learning enjoyable.Hands-On Practice - Real-world examples and exercises to solidify your skills. Step-by-Step Guidance - Perfect for beginners, with clear explanations every steo of the way. By the end of this course, you'll feel confident tackling programming challenges and ready to take your first steps into the exciting world of Data Science. Let's make learning fun and rewarding together - start your journey today!

Overview
Section 1: Introduction to Data Science

Lecture 1 Data Science Definition, Purpose, and Applications

Lecture 2 Data Science Challenges

Lecture 3 Data Science Methodology

Lecture 4 Data Science Roles

Section 2: Introduction to Computer & Programming with Python

Lecture 5 Computer & Programming with Python Part 1

Lecture 6 Computer & Programming Part 2

Lecture 7 Computer & Programming Part 3

Lecture 8 Running Code & Python Output

Section 3: Python Variable, Data Types, and User Input

Lecture 9 Variable

Lecture 10 Data Types

Lecture 11 Numbers, Arithmetic & Assignment Operators, and math module

Lecture 12 Casting

Lecture 13 String

Lecture 14 User Input

Lecture 15 Exercise

Lecture 16 Solution

Section 4: Python Conditional Statements

Lecture 17 Conditional Statements Introduction

Lecture 18 If Statement

Lecture 19 If Elif Else Statement

Lecture 20 Exercise

Lecture 21 Solution

Section 5: Python Looping Statements

Lecture 22 Loop Statements Introduction

Lecture 23 While Loop

Lecture 24 For Loop

Lecture 25 Break & Continue

Lecture 26 Loop Drawing

Lecture 27 Exercise

Lecture 28 Solution

Section 6: Python Collection Data Types

Lecture 29 Collection Data Types Introduction

Lecture 30 List

Lecture 31 List Exercise

Lecture 32 List Exercise Solution

Lecture 33 Tuple

Lecture 34 Dictionary

Lecture 35 Dictionary Exercise

Lecture 36 Dictionary Exercise Solution

Lecture 37 Set

Lecture 38 Set Exercise

Lecture 39 Set Exercise Solution

Section 7: Python Function

Lecture 40 Function Introduction

Lecture 41 Function Without Input & Output

Lecture 42 Function With Input but Without Output

Lecture 43 Default Parameter

Lecture 44 Function With Input & Output

Lecture 45 Local Variable vs. Global Variable

Lecture 46 Callback Function

Lecture 47 Calling other Functions

Lecture 48 Recursive Function

Lecture 49 Python Map Function

Lecture 50 Python Filter Function

Lecture 51 Exercise

Lecture 52 Solution

Individuals with no prior coding experience who want to start their journey in programming,Those interested in exploring the fundamentals of data science and understanding how Python is used in data analysis,Professionals from non-technical fields who wish to transition into tech roles and need a beginner-friendly entry point,Anyone curious about programming and eager to explore its potential applications,Individuals who want to automate tasks, analyze data, or enhance problem-solving skills using Python

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