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Free Big Data Courses

Complete Big Data
🎬 13 video lesson
Duration : 2-3 hours worth of material
🏃‍♂️ Self paced
Source: Class Central
🔗 COURSE LINK

Big Data 101 (Login Required)
Modules: 6
Duration : 3 hours worth of material
🏃‍♂️ Self paced
Source: IBM via Cognitive Class
🔗 COURSE LINK

Introduction to Big Data - an overview of the 10 V's
Rating⭐️: 4.4 out 5
Students 👨‍🎓 :15,630
Duration : 40min of on-demand video
Teacher 👨‍🏫: Taimur Zahid
🔗 COURSE LINK

MIT RES.LL-005 Mathematics of Big Data and Machine Learning, IAP 2020
🎬 20 video lesson
Duration : 14 hours worth of material
🏃‍♂️ Self paced
Source: MIT open courseware
🔗 Course Link

NOC:Big Data Computing, IIT Patna
🎬 35 video lesson
8 Modules
Taught by: Dr. Rajiv Misra
Source: NPTEL
🔗 COURSE LINK

Algorithms for Big Data (COMPSCI 229r)
🎬 25 video lesson
Duration : 34 hours worth of material
🏃‍♂️ Self paced
Source: Harvard University
🔗 Course Link

NOC:Algorithms for Big Data, IIT Madras
🎬 48 video lesson
8 Modules
Taught by: Prof. John Augustine
Source: NPTEL
🔗 COURSE LINK

Big Data Hadoop Tutorial for Beginners
🎬 17 video lesson
Duration : 4-5 hours worth of material
🏃‍♂️ Self paced
Source: Great Learning
🔗 Course Link

Big Data Analytics Full Course In 10 Hours | Big Data Hadoop Tutorial
🎬 5 video lesson
Duration : 10 hours worth of material
🏃‍♂️ Self paced
Source: Great Learning
🔗 Course Link

Big Data Analytics
Free Online Course
🎬 70 video lesson
Duration : 19 hours worth of material
🏃‍♂️ Self paced
Source: caltech via youtube
🔗 Course Link

Stanford Seminar - Big Data is (at least) Four Different Problems
Free Online Course
🎬 27 video lesson
Duration : 1-2 hours worth of material
🏃‍♂️ Self paced
Source: Stanford Online via YouTube
🔗 Course Link

#Big_Data

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Free Big Data Courses

Complete Big Data
🎬 13 video lesson
Duration : 2-3 hours worth of material
🏃‍♂️ Self paced
Source: Class Central
🔗 COURSE LINK

Big Data 101 (Login Required)
Modules: 6
Duration : 3 hours worth of material
🏃‍♂️ Self paced
Source: IBM via Cognitive Class
🔗 COURSE LINK

Introduction to Big Data - an overview of the 10 V's
Rating⭐️: 4.4 out 5
Students 👨‍🎓 :15,630
Duration : 40min of on-demand video
Teacher 👨‍🏫: Taimur Zahid
🔗 COURSE LINK

MIT RES.LL-005 Mathematics of Big Data and Machine Learning, IAP 2020
🎬 20 video lesson
Duration : 14 hours worth of material
🏃‍♂️ Self paced
Source: MIT open courseware
🔗 Course Link

NOC:Big Data Computing, IIT Patna
🎬 35 video lesson
8 Modules
Taught by: Dr. Rajiv Misra
Source: NPTEL
🔗 COURSE LINK

Algorithms for Big Data (COMPSCI 229r)
🎬 25 video lesson
Duration : 34 hours worth of material
🏃‍♂️ Self paced
Source: Harvard University
🔗 Course Link

NOC:Algorithms for Big Data, IIT Madras
🎬 48 video lesson
8 Modules
Taught by: Prof. John Augustine
Source: NPTEL
🔗 COURSE LINK

Big Data Hadoop Tutorial for Beginners
🎬 17 video lesson
Duration : 4-5 hours worth of material
🏃‍♂️ Self paced
Source: Great Learning
🔗 Course Link

Big Data Analytics Full Course In 10 Hours | Big Data Hadoop Tutorial
🎬 5 video lesson
Duration : 10 hours worth of material
🏃‍♂️ Self paced
Source: Great Learning
🔗 Course Link

Big Data Analytics
Free Online Course
🎬 70 video lesson
Duration : 19 hours worth of material
🏃‍♂️ Self paced
Source: caltech via youtube
🔗 Course Link

Stanford Seminar - Big Data is (at least) Four Different Problems
Free Online Course
🎬 27 video lesson
Duration : 1-2 hours worth of material
🏃‍♂️ Self paced
Source: Stanford Online via YouTube
🔗 Course Link

#Big_Data

Join our Community 👇

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.

How Does Bitcoin Mining Work?

Bitcoin mining is the process of adding new transactions to the Bitcoin blockchain. It’s a tough job. People who choose to mine Bitcoin use a process called proof of work, deploying computers in a race to solve mathematical puzzles that verify transactions.To entice miners to keep racing to solve the puzzles and support the overall system, the Bitcoin code rewards miners with new Bitcoins. “This is how new coins are created” and new transactions are added to the blockchain, says Okoro.

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