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Udemy - Industry 5.0 Data Science and AI Professional Program

Category : Other
Type: Tutorials
Language: English
Total Size: 2.4 GB
Uploaded By: freecoursewb
Downloads: 30277
Last checked: Jul. 10th '26
Date uploaded: Jul. 10th '26
Seeders: 15352
Leechers: 9395
INFO HASH: A9D4D3C18435F75C4F373CF28AF820F04749D2F2

About Udemy - Industry 5.0 Data Science and AI Professional Program

Overview

Industry 5.0 Data Science & AI Professional Program https://WebToolTip.com Published 6/2026 Created by Priya S, Shoba L.K, Jesline Daniel, Anilet Bala A MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English | Duration: 8 Lectures ( 5h 14m ) | Size: 2.4 GB Complete Data Science Career Program: Python, SQL, Statistics, Machine Learning, Generative AI and Data Visualization What you'll learn ⚡ Master Python, NumPy, Pandas, and SQL t

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Industry 5.0 Data Science & AI Professional Program

https://WebToolTip.com

Published 6/2026
Created by Priya S, Shoba L.K, Jesline Daniel, Anilet Bala A
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 8 Lectures ( 5h 14m ) | Size: 2.4 GB

Complete Data Science Career Program: Python, SQL, Statistics, Machine Learning, Generative AI and Data Visualization

What you'll learn
⚡ Master Python, NumPy, Pandas, and SQL to acquire, clean, transform, and analyze real-world datasets for data science applications.
⚡ Create impactful visualizations, dashboards, and data stories using Matplotlib, Seaborn, Power BI, and Tableau for business insights.
⚡ Build, evaluate, and optimize machine learning models using Scikit-learn for prediction, classification, clustering, and analytics.
⚡ Apply Generative AI, LLMs, Prompt Engineering, and RAG to enhance data analysis, automation, and AI-powered decision-making.
⚡ Complete industry projects by integrating Python, SQL, visualization, machine learning, and AI to develop end-to-end data science solutions.

Requirements
❗ No prior programming or data science experience is required. This course is designed for beginners and gradually progresses to advanced topics.