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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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GROUP FOR PROGRAMMERS Telegram | DID YOU KNOW?

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How Does Telegram Make Money?

Telegram is a free app and runs on donations. According to a blog on the telegram: We believe in fast and secure messaging that is also 100% free. Pavel Durov, who shares our vision, supplied Telegram with a generous donation, so we have quite enough money for the time being. If Telegram runs out, we will introduce non-essential paid options to support the infrastructure and finance developer salaries. But making profits will never be an end-goal for Telegram.

Why Telegram?

Telegram has no known backdoors and, even though it is come in for criticism for using proprietary encryption methods instead of open-source ones, those have yet to be compromised. While no messaging app can guarantee a 100% impermeable defense against determined attackers, Telegram is vulnerabilities are few and either theoretical or based on spoof files fooling users into actively enabling an attack.

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