Udemy - Python For Data Science - Your Career Accelerator

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[ DevCourseWeb.com ] Udemy - Python For Data Science - Your Career Accelerator
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Python Essentials From Basics to Collaboration
    • 1 - Welcome Note Intro to python.mp4 (23.1 MB)
    • 2 - Introduction to Google Colab Notebook.mp4 (56.5 MB)
    • 3 - Introduction to GitHub.mp4 (60.3 MB)
    • 4 - Print Comment.mp4 (69.6 MB)
    10 - Exploring Sets in Python
    • 44 - Understanding Sets.mp4 (68.1 MB)
    • 45 - Exploring Set Operations and Looping.mp4 (91.9 MB)
    • 46 - Set Operations.mp4 (51.8 MB)
    • 47 - Exploring Set Methods.mp4 (48.5 MB)
    11 - Machine Learning with KNearest Neighbors
    • 48 - KNN Theory Explained.mp4 (44.3 MB)
    • 49 - KNN Regression from Scratch using Python.mp4 (108.2 MB)
    • 50 - KNN Classification from Scratch using Python.mp4 (130.3 MB)
    12 - Machine Learning with Support Vector Machine
    • 51 - SVM Theory Explained.mp4 (96.1 MB)
    • 52 - SVM Regression using Python.mp4 (96.6 MB)
    • 53 - SVM Classification using Python.mp4 (105.4 MB)
    13 - Machine Learning with KMeans Clustering
    • 54 - Detailed Overview of KMeans Clustering.mp4 (54.4 MB)
    • 55 - KMeans Clustering using Python.mp4 (54.3 MB)
    2 - Python Basics Fundamental Concepts and Operations
    • 1 - Python Basics Fundamental Concepts and Operations.html (0.5 KB)
    • 10 - Logical Operators.mp4 (56.0 MB)
    • 11 - Identity Membership Operators Type.mp4 (33.2 MB)
    • 12 - User Input.mp4 (94.5 MB)
    • 5 - Variables Assignment Operators.mp4 (87.5 MB)
    • 6 - Understanding Data Types.mp4 (92.8 MB)
    • 7 - Understanding Expressions.mp4 (87.1 MB)
    • 8 - Arithmetic Assignment Operators.mp4 (66.3 MB)
    • 9 - RelationalComparison Operators.mp4 (37.9 MB)
    3 - Mastering Conditional Branching in Python
    • 13 - Conditional Statements with Logical Operators.mp4 (76.1 MB)
    • 14 - Ifelifelse Statements.mp4 (64.1 MB)
    • 15 - Switch Case.mp4 (42.4 MB)
    • 2 - Mastering Conditional Branching in Python.html (0.5 KB)
    4 - Mastering Loops in Python
    • 16 - For Loop.mp4 (79.1 MB)
    • 17 - While Loops.mp4 (58.3 MB)
    • 18 - DoWhile Loop.mp4 (35.8 MB)
    • 19 - Break and Continue Statements.mp4 (85.0 MB)
    5 - Exploring Functions in Python
    • 20 - Introduction to Functions Pass Statements in Python.mp4 (83.6 MB)
    • 21 - Working with Function Arguments.mp4 (74.4 MB)
    • 22 - Functions with Return Types.mp4 (35.2 MB)
    • 23 - Understanding Local and Global Variables.mp4 (57.6 MB)
    • 24 - Lambda Functions in Python.mp4 (55.0 MB)
    6 - Mastering Strings in Python
    • 25 - Creating Strings.mp4 (92.7 MB)
    • 26 - Understanding Strings as Arrays.mp4 (53.5 MB)
    • 27 - Looping Through Strings.mp4 (81.2 MB)
    • 28 - String Manipulation.mp4 (113.9 MB)
    • 29 - Essential String Operations.mp4 (116.4 MB)
    • 30 - Exploring Useful String Methods.mp4 (104.1 MB)
    7 - Mastering Lists in Python
    • 31 - Introduction to Lists.mp4 (52.8 MB)
    • 32 - Iterating Through List Items.mp4 (56.4 MB)
    • 33 - Exploring List Properties.mp4 (83.0 MB)
    • 34 - Mastering List Manipulation.mp4 (95.1 MB)
    • 35 - Exploring List Methods in Python.mp4 (82.7 MB)
    8 - Mastering Tuples in Python
    • 36 - Introduction to Tuples.mp4 (58.9 MB)
    • 37 - Advanced Tuple Operations.mp4 (58.7 MB)
    • 38 - Mastering Tuple Operations.mp4 (52.5 MB)
    • 39 - Exploring Tuple Methods and Operations.mp4 (53.1 MB)
    9 - Mastering Dictionaries in Python
    • 40 - Introduction to Dictionaries.mp4 (57.6 MB)
    • 41 - Dictionary Operations.mp4 (80.7 MB)
    • 42 - Looping through Dictionaries.mp4 (97.7 MB)
    • 43 - Essential Dictionary Methods.mp4 (69.4 MB)
    • Bonus Resources.txt (0.4 KB)

Description

Python For Data Science: Your Career Accelerator

https://DevCourseWeb.com

Published 10/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.83 GB | Duration: 10h 37m

Master Python and Unlock Data Analysis, Visualization, and Machine Learning Skills

What you'll learn
Learn the basics of Python, including data types, variables, loops, conditionals, and string manipulation.
Gain hands-on experience with essential libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization.
Learn to clean, transform, and preprocess datasets for analysis, preparing them for real-world data science tasks.
Understand the concepts of object-oriented programming (OOP) and apply them to structure Python code efficiently.
By the end of the course, students will have completed a data science capstone project, where they will collect, analyze, and present insights from a real-world

Requirements
No programming experience or knowledge of Data Science required. Just come with a passion to learn.



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Udemy - Python For Data Science - Your Career Accelerator

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3.8 GB
seeders:7
leechers:23
Udemy - Python For Data Science - Your Career Accelerator

Torrent hash: FB9D02004C627C9AFFF32DB6AD9E1AB365F82912