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Free Data Mining Courses

NOC:Data Mining, IIT Kharagpur
🎬 44 video lesson
⏰ 8 Modules
Taught by: Prof. Pabitra Mitra
Source: NPTEL
πŸ”— COURSE LINK

Data Mining for Beginners | Data Mining Full course | Learn Data Mining in 10 Hours | Great Learning
🎬 17 video lesson
Duration ⏰ : 10 hours worth of material
πŸƒβ€β™‚οΈ Self paced
Source: Great Learning
πŸ”— COURSE LINK

NOC:Business analytics and data mining Modeling using R, IIT Roorkee
🎬 56 video lesson
⏰ 12 Modules
πŸ”— COURSE LINK
NOC:Business Analytics & Data Mining Modeling Using R Part II, IIT Roorkee
🎬 20 video lesson
⏰ 4 Modules
πŸ”— COURSE LINK
Taught by: Dr. Gaurav Dixit
Source: NPTEL

Data Mining with Weka MOOC
βœ… Free Online Course
🧱 5 modules
🎬 Video Lectures
πŸƒβ€β™‚οΈ Self paced
Source: University of Waikato
Taught by: Ian H. Witten
πŸ”— Course Link

WEKA - Data Mining with Open Source Machine Learning Tool
Rating⭐️: 4.2 out 5
Students πŸ‘¨β€πŸŽ“ : 12,485`
Duration ⏰ : 3hr 30min of on-demand video
Teacher πŸ‘¨β€πŸ«: DATAhill Solutions Srinivas Reddy
πŸ”— COURSE LINK

Data Mining Crash Course
🎬 6 video lesson
Duration ⏰: 1-2 hours worth of material
πŸƒβ€β™‚οΈ Self paced
Source: Data Science Dojo
πŸ”— Course Link

Clustering in Data mining | K means Clustering Algorithm | Hierarchical Clustering | Great Learning
🎬 86 video lesson
Duration ⏰: 3-4 hours worth of material
πŸƒβ€β™‚οΈ Self paced
Source: Great Learning
πŸ”— Course Link

Mining Online Data Across Social Networks
⏰ Free Online Course
🎬 30 video lesson
Duration ⏰: 1-2 hours worth of material
πŸƒβ€β™‚οΈ Self paced
Source: Class Central
πŸ”— Course Link

DATA MINING (DM)
⏰ Free Online Course
πŸƒβ€β™‚οΈ Self paced
Source: YouTube
πŸ”— Course Link

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Free Data Mining Courses

NOC:Data Mining, IIT Kharagpur
🎬 44 video lesson
⏰ 8 Modules
Taught by: Prof. Pabitra Mitra
Source: NPTEL
πŸ”— COURSE LINK

Data Mining for Beginners | Data Mining Full course | Learn Data Mining in 10 Hours | Great Learning
🎬 17 video lesson
Duration ⏰ : 10 hours worth of material
πŸƒβ€β™‚οΈ Self paced
Source: Great Learning
πŸ”— COURSE LINK

NOC:Business analytics and data mining Modeling using R, IIT Roorkee
🎬 56 video lesson
⏰ 12 Modules
πŸ”— COURSE LINK
NOC:Business Analytics & Data Mining Modeling Using R Part II, IIT Roorkee
🎬 20 video lesson
⏰ 4 Modules
πŸ”— COURSE LINK
Taught by: Dr. Gaurav Dixit
Source: NPTEL

Data Mining with Weka MOOC
βœ… Free Online Course
🧱 5 modules
🎬 Video Lectures
πŸƒβ€β™‚οΈ Self paced
Source: University of Waikato
Taught by: Ian H. Witten
πŸ”— Course Link

WEKA - Data Mining with Open Source Machine Learning Tool
Rating⭐️: 4.2 out 5
Students πŸ‘¨β€πŸŽ“ : 12,485`
Duration ⏰ : 3hr 30min of on-demand video
Teacher πŸ‘¨β€πŸ«: DATAhill Solutions Srinivas Reddy
πŸ”— COURSE LINK

Data Mining Crash Course
🎬 6 video lesson
Duration ⏰: 1-2 hours worth of material
πŸƒβ€β™‚οΈ Self paced
Source: Data Science Dojo
πŸ”— Course Link

Clustering in Data mining | K means Clustering Algorithm | Hierarchical Clustering | Great Learning
🎬 86 video lesson
Duration ⏰: 3-4 hours worth of material
πŸƒβ€β™‚οΈ Self paced
Source: Great Learning
πŸ”— Course Link

Mining Online Data Across Social Networks
⏰ Free Online Course
🎬 30 video lesson
Duration ⏰: 1-2 hours worth of material
πŸƒβ€β™‚οΈ Self paced
Source: Class Central
πŸ”— Course Link

DATA MINING (DM)
⏰ Free Online Course
πŸƒβ€β™‚οΈ Self paced
Source: YouTube
πŸ”— Course Link

#Data_Mining
βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–
Join our Community πŸ‘‡

https://linktr.ee/groupforprogrammers

Share with your College Whatsapp Groups & Friends too

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The global forecast for the Asian markets is murky following recent volatility, with crude oil prices providing support in what has been an otherwise tough month. The European markets were down and the U.S. bourses were mixed and flat and the Asian markets figure to split the difference.The TSE finished modestly lower on Friday following losses from the financial shares and property stocks.For the day, the index sank 15.09 points or 0.49 percent to finish at 3,061.35 after trading between 3,057.84 and 3,089.78. Volume was 1.39 billion shares worth 1.30 billion Singapore dollars. There were 285 decliners and 184 gainers.

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