Section 1 : Introduction

 		Lecture 1 INTRODUCTION TO BRAINMEASURES PROCTOR SYSTEM Pdf
Lecture 2 Course organization

Section 2 : Introduction to Data Science

 		Lecture 3 Introduction 1:51
Lecture 4 Data science 2:53
Lecture 5 Fundamental skills
Lecture 6 Tools of trade 3:0
Lecture 7 Enabling technologies 2:4

Section 3 : Cloud Computing

 		Lecture 8 Cloud computing and virtualization 4:0
Lecture 9 Cloud fundamentals 3:29
Lecture 10 Types of cloud
Lecture 11 Solution providers 2:22
Lecture 12 Private cloud hands-on with Proxmox 2:52
Lecture 13 Proxmox Bootable installation disk 5:2
Lecture 14 Proxmox Installation 2:26
Lecture 15 Proxmox Managing virtual machines 3:49
Lecture 16 Proxmox Creating and configuring virtual machines 2:59

Section 4 : Distributed File Systems

 		Lecture 17 Distributed file systems 2:44
Lecture 18 Fundamentals 2:45
Lecture 19 Distributed systems and distributed processing 2:18
Lecture 20 Hadoop hands-on 2:8
Lecture 21 Hadoop Preparation 4:11
Lecture 22 Hadoop Installation 4:18
Lecture 23 Hadoop MapReduce hands-on 8:52

Section 5 : Distributed Processing

 		Lecture 24 Distributed processing with MapReduce 3:47
Lecture 25 Distributed processing with Spark 2:7
Lecture 26 Spark architecture and features 2:49
Lecture 27 Spark Installation 6:24
Lecture 28 Spark Spark shell 4:28
Lecture 29 Spark pyspark 4:32
Lecture 30 Spark Application 4:1

Section 6 : Machine Learning

 		Lecture 31 Machine learning 2:41
Lecture 32 Fundamentals 2:16
Lecture 33 Types of machine learning 2:59
Lecture 34 Weka Installation 2:33
Lecture 35 Weka GUI 3:35
Lecture 36 Weka Training vs 3:21
Lecture 37 Weka Clustering 2:12

Section 7 : Case Study

 		Lecture 38 Putting it all together 2:42
Lecture 39 Hadoop cluster Installation
Lecture 40 Hadoop cluster Operation 4:57
Lecture 41 Spark, YARN, and Hadoop
Lecture 42 Weka and Spark 3:12