Data Science for Healthcare (2024)

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[ DevCourseWeb.com ] Data Science for Healthcare (2024)
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Introduction
    • 1 - 5 Ways Data Science Transforms the Healthcare Industry.txt (0.1 KB)
    • 1 - Course-Syllabus.pdf (8.2 MB)
    • 1 - Data Science for Human Health.txt (0.1 KB)
    • 1 - Data Science in Healthcare.txt (0.1 KB)
    • 1 - Introduction to Data Science for Healthcare.mp4 (16.0 MB)
    • 1 - Module-1-Introduction-to-Data-Science.pdf (9.6 MB)
    • 1 - Module-1.ipynb (2.0 KB)
    2 - Python Basics for Data Science
    • 2 - Module 2 Introduction.mp4 (6.9 MB)
    • 2 - Module-2-1-Introduction-to-Python.pdf (9.1 MB)
    • 2 - Module-2-1-Python-Basics.ipynb (9.0 KB)
    • 2 - Module-2-2-Introduction-to-Python.pdf (4.2 MB)
    • 2 - Module-2-2-Python-Basics.ipynb (12.9 KB)
    • 2 - Module-2-3-Introduction-to-Python.pdf (3.9 MB)
    • 2 - Module-2-3-Python-Basics.ipynb (9.6 KB)
    • 2 - Module-2-4-Introduction-to-Python.pdf (5.9 MB)
    • 2 - Module-2-4-Python-Basics.ipynb (12.6 KB)
    • 3 - Module 21 Variables Data Types and Operators.mp4 (74.8 MB)
    • 4 - Module 22 part I Loops and Data Structures.mp4 (126.9 MB)
    • 5 - Module 22 part II Loops and Data Structures.mp4 (92.9 MB)
    • 6 - Module 23 part I More Lists Methods and Functions.mp4 (58.4 MB)
    • 7 - Module 23 part II More Lists Methods and Functions.mp4 (49.9 MB)
    • 8 - Module 24 part I Libraries and ObjectOriented Programming.mp4 (39.1 MB)
    • 9 - Module 24 part II Libraries and ObjectOriented Programming.mp4 (41.8 MB)
    3 - Acquiring and Importing Data
    • 10 - Module 3 Introduction.mp4 (6.3 MB)
    • 10 - Module-3-Acquiring-and-Importing-Data.ipynb (15.3 KB)
    • 10 - Module-3-Acquiring-and-Importing-Data.pdf (5.8 MB)
    • 10 - healthcare-data-032824.csv (30.9 KB)
    • 11 - Module 3 part I Acquiring and Importing Data.mp4 (105.4 MB)
    • 12 - Module 3 part II Acquiring and Importing Data.mp4 (58.3 MB)
    4 - Data Wrangling
    • 13 - Module 4 Introduction.mp4 (7.4 MB)
    • 13 - Module-4-Data-Wrangling.ipynb (20.6 KB)
    • 13 - Module-4-Data-Wrangling.pdf (4.4 MB)
    • 13 - healthcare-data-messy-032924.csv (61.1 KB)
    • 14 - Module 4 part I Data Wrangling.mp4 (103.6 MB)
    • 15 - Module 4 part II Data Wrangling.mp4 (90.7 MB)
    5 - Exploratory Data Analysis
    • 16 - Module 5 Introduction.mp4 (5.9 MB)
    • 16 - Module-5-Exploratory-Data-Analysis-EDA.ipynb (12.1 KB)
    • 16 - Module-5-Exploratory-Data-Analysis.pdf (6.1 MB)
    • 16 - clean-data032924.csv (30.3 KB)
    • 17 - Module 5 part I Exploratory Data Analysis.mp4 (109.0 MB)
    • 18 - Module 5 part II Exploratory Data Analysis.mp4 (45.0 MB)
    6 - Data Preprocessing
    • 19 - Module 6 Introduction.mp4 (8.9 MB)
    • 19 - Module-6-Data-Preprocessing.ipynb (22.0 KB)
    • 19 - Module-6-Data-Preprocessing.pdf (6.2 MB)
    • 19 - clean-data-033124 (29.7 KB)
    • 20 - Module 6 part I Data Preprocessing.mp4 (126.4 MB)
    • 21 - Module 6 part II Data Preprocessing.mp4 (79.3 MB)
    7 - Machine Learning
    • 22 - Module 7 Introduction.mp4 (4.4 MB)
    • 22 - Module-7-Machine-Learning.ipynb (15.4 KB)
    • 22 - Module-7-Machine-Learning.pdf (8.4 MB)
    • 22 - df-ml-040224 (55.4 KB)
    • 23 - Module 7 part I Machine Learning.mp4 (77.1 MB)
    • 24 - Module 7 part II Machine Learning.mp4 (53.8 MB)
    • 25 - Module 7 part III Machine Learning.mp4 (58.9 MB)
    8 - Visualization and Presentation
    • 26 - Final-Presentation-Instructions.pdf (6.1 MB)
    • 26 - Module 8 Introduction.mp4 (3.7 MB)
    • 26 - Module-8-Data-Visualization-and-Presentation.pdf (6.5 MB)
    • 27 - Module 8 Notes.mp4 (130.8 MB)
    • Bonus Resources.txt (0.4 KB)

Description

Data Science for Healthcare (2024)

https://DevCourseWeb.com

Published 9/2024
Duration: 2h34m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 1.62 GB
Genre: eLearning | Language: English

Transform Data into Insights, Innovation, and Improved Healthcare

What you'll learn
Set up and navigate the Jupyter notebook environment.
Understand and apply Python basics for data science.
Acquire and import healthcare data from various sources.
Clean and preprocess data for analysis.
Perform exploratory data analysis (EDA) to uncover trends and patterns.
Apply data preprocessing techniques to prepare data for modeling.
Build and evaluate a basic machine learning model to predict health risk.

Requirements
Basic understanding of statistics and computer skills.
No prior programming experience required.



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Data Science for Healthcare (2024)

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1.6 GB
seeders:7
leechers:13
Data Science for Healthcare (2024)

Torrent hash: 5D7F76A46DF8C1157829E1745FDD7E6313958F4B