Section 1 : Introduction

Lecture 1 INTRODUCTION TO BRAINMEASURES PROCTOR SYSTEM

Section 2 : Defining Big Data

Lecture 1 The volume, velocity, and variety of big data 00:05:51 Duration
Lecture 2 Artificial intelligence and machine learning
Lecture 3 Social media and the Internet of Things 00:05:52 Duration
Lecture 4 Data warehouses, data lakes, and the cloud 00:08:25 Duration
Lecture 5 Edge computing and fog computing

Section 3 : How Is Big Data Used

Lecture 1 Big data for business strategy 00:06:49 Duration
Lecture 2 Big data for customer interactions 00:04:28 Duration
Lecture 3 Big data for applications 00:04:41 Duration

Section 4 : Big Data and Data Science

Lecture 1 Ten ways big data is different from small data 00:05:59 Duration
Lecture 2 The three facets of data science 00:02:22 Duration
Lecture 3 Data science without big data 00:02:41 Duration
Lecture 4 Big data without data science 00:03:20 Duration

Section 5 : Ethics in Big Data

Lecture 1 Big data and privacy
Lecture 2 Data governance 00:06:02 Duration

Section 6 : Data Logistics

Lecture 1 Structured, semi-structured, and unstructured data 00:06:06 Duration
Lecture 2 Batch processing vs 00:04:22 Duration
Lecture 3 Distributed storage and processing 00:03:08 Duration
Lecture 4 An evolving data landscape 00:05:48 Duration

Section 7 : Analyzing Big Data

Lecture 1 Challenges with data preparation
Lecture 2 Visualizing big data 00:05:13 Duration
Lecture 3 Data mining 00:04:39 Duration
Lecture 4 Text analytics
Lecture 5 Sentiment analysis 00:04:48 Duration
Lecture 6 Predictive analytics 00:04:07 Duration
Lecture 7 Anomaly detection 00:03:59 Duration